Recycled construction and demolition materials in permeable pavement systems: geotechnical and hydraulic characteristics

Recycled construction and demolition materials in permeable pavement systems: geotechnical and hydraulic characteristics

Accepted Manuscript Recycled construction and demolition materials in permeable pavement systems: Geotechnical and hydraulic characteristics Md. Aminu...

2MB Sizes 2 Downloads 56 Views

Accepted Manuscript Recycled construction and demolition materials in permeable pavement systems: Geotechnical and hydraulic characteristics Md. Aminur Rahman , PhD Student, Dr Monzur A. Imteaz , Senior Lecturer, Arul Arulrajah , Associate Professor, Jegatheesan Piratheepan , Lecturer, Mahdi Miri Disfani , Lecturer PII:

S0959-6526(14)01222-0

DOI:

10.1016/j.jclepro.2014.11.042

Reference:

JCLP 4931

To appear in:

Journal of Cleaner Production

Received Date: 17 April 2014 Revised Date:

6 November 2014

Accepted Date: 13 November 2014

Please cite this article as: Rahman MA, Imteaz MA, Arulrajah A, Piratheepan J, Disfani MM, Recycled construction and demolition materials in permeable pavement systems: Geotechnical and hydraulic characteristics, Journal of Cleaner Production (2014), doi: 10.1016/j.jclepro.2014.11.042. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

ACCEPTED MANUSCRIPT

Recycled construction and demolition materials in permeable pavement systems: Geotechnical and hydraulic characteristics

1 2 3

Md. Aminur Rahman1, Monzur A. Imteaz*2, Arul Arulrajah3, Jegatheesan Piratheepan4, and Mahdi Miri Disfani4

4 5

7

RI PT

6 1

PhD Student, Swinburne University of Technology, Melbourne, Australia.

2

Senior Lecturer, Swinburne University of Technology, Melbourne, Australia.

3

Associate Professor, Swinburne University of Technology, Melbourne, Australia.

4

Lecturer, Swinburne University of Technology, Melbourne, Australia.

9

SC

8

11

M AN U

10

12 13

17 18 19 20 21 22 23 24 25 26 27 28 29

EP

16

AC C

15

TE D

14

*Corresponding Author: Dr Monzur Imteaz Faculty of Engineering & Industrial Sciences (H38), Swinburne University of Technology, P.O. Box 218, Hawthorn VIC 3122 Australia Email: [email protected] Phone: +613-92145630 Fax: +613-92148264 1

ACCEPTED MANUSCRIPT

Abstract

31

Permeable pavements are increasingly being used as urban stormwater management systems.

32

Permeable pavement systems enable stormwater to infiltrate through the pavement surface

33

and into the filter layer. Three common recycled construction and demolition (C&D)

34

materials; crushed brick (CB), recycled concrete aggregate (RCA) and reclaimed asphalt

35

pavement (RAP) were investigated in combination with nonwoven geotextile to assess their

36

suitability as filter materials in permeable pavements. A series of laboratory tests was

37

undertaken to assess the geotechnical and hydraulic characteristics of the C&D materials in

38

permeable pavement applications. As a worst case scenario, stormwater mixtures were

39

prepared in the laboratory with a slightly higher than the average pollutant concentrations in

40

stormwater runoff events occurring in urban areas. Constant head permeability tests were

41

carried out to investigate the stormwater filtration capacity and clogging behaviour of C&D

42

materials. A series of hydraulic conductivity tests was also conducted to investigate the effect

43

of variations in the properties of filter media, sediment particle sizes, density of the filter

44

media and clogging effects over time. This research found that the geotextile layer increases

45

pollutant removal efficiency of the C&D materials; however has potential to cause more

46

clogging due to continuous accumulations of sediments in a long period. . In terms of usage

47

in permeable pavement filter layer, C&D materials were found to have geotechnical and

48

hydraulic properties equivalent or superior to that of typical quarry granular materials. The

49

Model for Urban Stormwater Improvement Conceptualisation (MUSIC) was furthermore

50

employed to predict the pollutant removal efficiency of the C&D materials and the predicted

51

results were validated with the laboratory experiments.

52

Keywords: Recycled material, geotextile, permeable pavement, geotechnical property,

53

hydraulic property, clogging.

AC C

EP

TE D

M AN U

SC

RI PT

30

2

ACCEPTED MANUSCRIPT 54

1. Introduction Permeable pavement systems have emerged as a topic of considerable interest in

56

recent years. The main objectives of permeable pavement systems are to increase

57

groundwater recharge, reduce surface runoff, treat stormwater and prevent pollution of

58

receiving water bodies through surface runoff. Typically, permeable pavement systems

59

enable stormwater to infiltrate through the pavement surface, into the filter layer and

60

eventually releasing it as flow either through pipeline or surrounding soils. Moreover,

61

permeable pavement systems have large hydraulic conductivity rates except when residue has

62

accrued on the pavement surface (Bean et al. 2007). Furthermore, various types of substances

63

such as dust particles, rubber from tyres and other particles from surrounding environment

64

have a major effect on urban runoff waste. Traditionally, permeable pavements are used for

65

light duty pavement due to insufficient structural loading and geotechnical design

66

considerations (Scholz and Grabowiecki, 2007). Permeable pavement systems are useful for

67

light vehicles and pedestrian as well as storm water treatment, infiltration, storage and

68

distribution. A typical cross section of a permeable pavement system is shown in Fig. 1.

TE D

M AN U

SC

RI PT

55

Permeable pavement systems are designed to collect stormwater on the pavement

70

surface and then to allow it to infiltrates into the subgrade layer and deeper ground. The

71

conventional road pavement is impervious and it accumulates large amounts of runoff water

72

during storms which creates flash flooding and this water also carries different types of

73

pollutants (EPA, U.S., 2005). Several researchers studied the benefits of permeable pavement

74

in reducing pavement runoff and pollutants (Chopra et al. 2010).

AC C

EP

69

75

With rapid industrialization and population growth, large amounts of land are being

76

used in infrastructures such as roads, footpaths and parking lots in both urban and rural areas.

77

It is now imperative to design and manage these developments in an integrated way so that 3

ACCEPTED MANUSCRIPT this can reduce runoff, as well as pollutants that are transported during storms. Urban runoff

79

is one of the main causes of pollution and hence stormwater management is an increasing

80

priority worldwide. Permeable pavements are however difficult to implement on a large scale

81

due to cost and infrastructure factors and hence they are often combined with non-permeable

82

surfaces to cover only a limited percentage, rather than the whole catchment area. Permeable

83

pavement is a useful technique of urban stormwater management which can help to prevent

84

flooding and control pollution. The clogging behaviour and stormwater treatment of

85

permeable pavement systems in urban catchment areas has been discussed by Newton et al.

86

(2003). The proficiency of permeable pavement systems in reducing peak flood discharges

87

has been confirmed by several researchers (Bean et al., 2007).

M AN U

SC

RI PT

78

The primary causes of infiltration reduction in permeable pavements are solids

89

accompanying stormwater runoff, solids infiltration into the ground and exfiltration capacity.

90

Emerson et al. (2010) reported that the infiltration rates reduce by one to two orders of

91

magnitude after three years with permeable pavers; although this may also vary among sites.

92

Barrett et al. (1998) reported that permeable roads with larger daily traffic volume had higher

93

Total Suspended Solids (TSS) concentrations. Generally, a portion of the sediment is

94

captured near the surface of the permeable pavement where it can be removed by periodic

95

maintenance. However, there are no natural mechanisms and hence restore infiltration

96

capacity in permeable pavement systems and periodic surface maintenance is necessary to

97

remove accumulated sediments and restore infiltration. Several researchers described the

98

infiltration reduction and clogging behaviour of the permeable pavement systems in terms of

99

traffic conditions and locations (Boving et al. 2008).

AC C

EP

TE D

88

100

Clogging is a process that develops due to the accumulation and deposition of

101

sediments from stormwater over time (Bouwer, 2002). Usually this clogging forms at the 4

ACCEPTED MANUSCRIPT interface between filter and underlying soil (Siriwardene et al. 2007). Therefore, porosity and

103

hydraulic conductivity decreases, leading to the decrease in the infiltration rate. Several

104

studies on pollutant removal and clogging in quarry aggregates have been conducted (Bean et

105

al., 2007). Influence of clogging effects on the effective age of permeable pavement has also

106

been discussed by Pezzaniti et al. (2009).

RI PT

102

The aggregate sizes and hydraulic performances of filter materials should be precise

108

so that the permeable pavement is able to drain runoff quickly and store enough water to

109

avoid flash flooding. The hydraulic performance of permeable highway shoulder pavement,

110

which can capture stormwater runoff from the pavement surface, has been assessed by Chai

111

et al. (2012). In addition, the laboratory measurements of hydraulic performance and several

112

treatment options including permeable pavement systems have been discussed by several

113

researchers (Hatt et al. 2009).

M AN U

SC

107

Melbourne is the capital of the state of Victoria, Australia. The Victorian state

115

government has put into effect a zero-waste policy directive in which all wastes, regardless of

116

quantity, should be diverted from landfill. Challenges of low-carbon economies and resource

117

depletion are major factors in pushing toward reuse of C&D materials in roadwork

118

applications (DSEWPC 2012). The extensive amount of waste generated by various

119

industries and human activities has made the disposal of solid waste a major problem in

120

Victoria, as well as around the world (Rahman et al. 2014a). In Australia, approximately 8.7

121

Mt of demolition concrete, 1.3 Mt of demolition brick, 3.3 Mt of waste excavation rock, 1.0

122

Mt of waste glass and 1.2 Mt of reclaimed asphalt pavements are stockpiled annually and

123

these stockpiles are growing radically (Clay et al. 2007; Sustainability Victoria, 2010).

AC C

EP

TE D

114

124

Recycling of C&D materials into sustainable civil engineering applications is of

125

global importance, as new ways to conserve the natural resources and reducing the amount of 5

ACCEPTED MANUSCRIPT waste materials being sent to landfill are sought globally (Blengini and Garbarino, 2010;

127

Rodrigues et al. 2013). This includes C&D aggregates such as RCA, which can be used as

128

bitumen bound materials, pipe bedding, embankments and fill (Arulrajah et al. 2014a), CB

129

can be used as pavement sub-base, landscaping, ground cover and filler for concrete

130

construction (Arulrajah et al. 2012a), RAP can be returned into pavement base or sub-base

131

applications (Puppala et al. 2011; Arulrajah et al. 2014b), crushed glass in road sub-base

132

applications (Grubb et al. 2006) and waste excavation rock in pavement sub-base applications

133

(Tsang et al. 2005; Arulrajah et al. 2012b). It is also noted that some previous studies

134

demonstrated environmental risk on using some recycled materials such as recycled glass, fly

135

ash, ground granulated blast-furnace slag due to presence of some hazardous chemicals

136

(Horpibulsuk et al. 2012; Disfani et al. 2012). However, some recent studies ascertain that the

137

recycled materials used in this research are not having significant environmental effects (Yu

138

and Shui, 2014).

M AN U

SC

RI PT

126

The collection, sorting, transportation and reusing of C&D materials may have some

140

negative environmental and public perception effects (Rahman et al. 2014b). However, as the

141

goal is to divert waste from landfills, the public is generally supportive of any attempt to be

142

sustainable and resourceful. Also as the permeable drainage section is not visible, people

143

from society would not be concerned about this application. In addition, different researchers

144

found that C&D materials have less environmental and social effects as leachate release and

145

existing heavy metals are within the acceptable limit for civil engineering applications

146

(Arulrajah et al. 2013).

AC C

EP

TE D

139

147

The sustainable usages of waste materials in stormwater systems and geotechnical

148

engineering applications have considerable social and economic benefits to industrialized and

149

developing nations (Sieffert, et al. 2014). Simultaneously, shortages of natural mineral

150

resources and increasing waste disposal costs have brought added significance to the 6

ACCEPTED MANUSCRIPT recycling and reusing of C&D waste in recent years (Arulrajah et al. 2014a). Landfill cost is

152

also a major concern in traditional dumping of C&D waste materials. Furthermore, there are

153

some additional levy charges introduced by state and local governments which add up to the

154

landfill cost. Therefore, reusing of C&D waste would be a more economical solution

155

compare to using natural virgin aggregate in permeable pavement systems (Lindsey, 2011).

RI PT

151

Several researchers stated that natural virgin materials have been used in permeable

157

pavement drainage applications (Shackel et al. 2008). In recent years, recycled materials also

158

been used in pavement applications, however still there are some issues that need to be

159

addressed for further improvement. The usage of C&D materials in permeable pavements

160

would provide a sustainable solution and furthermore it will reduce the demand for limited

161

quarry natural resources (Reid et al. 2009; Zong et al. 2014). The recycling of waste materials

162

will significantly reduce carbon footprints as compared to traditional quarried materials and

163

ultimately it will lead to a more sustainable environment (Tam, 2009; Häkkinen and Vares,

164

2011).

TE D

M AN U

SC

156

A comparison of the C&D material’s properties is required for permeable pavement

166

as this will be of importance to consultants, contractors, designers, local councils, state road

167

authorities, operators, and end-users alike in their potential usage in civil engineering

168

applications. However, Melbourne Water and state road authorities have introduced these

169

predominant C&D waste materials as permeable filter materials in many suburbs surrounding

170

Melbourne. These C&D waste materials are also being used as permeable drainage

171

aggregates in many other countries such as Australia, New Zealand, USA and some European

172

countries (DDC, 2005; Melbourne Water, 2012). For example, urban runoff and clogging

173

performance of the permeable pavement have been investigated by Fassman and Blackbourne

174

(2010) in New Zealand.

AC C

EP

165

7

ACCEPTED MANUSCRIPT An attempt has been made in this research to encourage reusing of C&D materials as

176

permeable pavement filter materials in urban storm water management systems. The

177

geotechnical and hydraulic behaviour of C&D materials in permeable pavement systems has

178

yet to be established. There is also a lack of information on the treatment performance of

179

various pollutants (Total suspended solid, total nitrogen and total phosphorus) of C&D

180

materials in permeable pavements. The present study investigates the hydraulic performance

181

and pollutants removal efficiency of permeable pavement systems through a novel approach

182

using C&D materials in combination with geotextile. To replicate polluted stormwater,

183

influent suspensions were prepared in the laboratory, by adding sediments with distilled

184

water. These influent suspensions were passed through different samples of C&D materials

185

and pollutant concentrations in the effluent were also measured. Several researches have been

186

done involving modelling of pollutants treatment in urban stormwater systems (Pitt et al.

187

2004; Strynchuk et al. 2003). However, estimation of the pollutants in urban permeable

188

pavement systems during a storm event is very complex because such estimations correlate to

189

multiple media, environments and various time scales (Ahyerre et al. 1998). Another attempt

190

has also been made in this research to validate laboratory test results with the simulated

191

results using the MUSIC program.

192

2. Materials and Methods

SC

M AN U

TE D

EP

AC C

193

RI PT

175

Recycled C&D materials were collected from a recycling site in the state of Victoria,

194

Australia. Commercially available nonwoven geotextile was also used in this study. The

195

samples were first oven dried and subsequently different laboratory tests were undertaken on

196

the recycled aggregates targeting their usage as alternative filter materials in urban

197

stormwater permeable pavement systems. As recycled C&D materials also contain different

198

types of unwanted materials such as wood, paper, cardboard and plastics, therefore screening 8

ACCEPTED MANUSCRIPT and hand picking methods were used for pre-treatment of the materials prior to reuse.

200

Physical, geotechnical, hydraulic conductivity and chemical tests were subsequently carried

201

out in this research. Statistical analysis of the pollutant removal of C&D materials with and

202

without geotextiles was performed and the pollutant removals were predicted by.

203

2.1 Physical and Geotechnical Testing

RI PT

199

The particle size distribution tests of C&D materials were conducted by sieve analysis

205

according to ASTM D422-63 (2007). The particle size distribution for C&D materials

206

targeted lower and upper bound reference lines for aggregates in pavement applications

207

(Arulrajah et al. 2012a) which is similar to type 1 gradation C material recommended in

208

ASTM specification for soil-aggregate sub-base, base and surface courses materials (ASTM

209

D1241, 2007). Initially the samples were washed with distilled water through a sieve size of

210

75 µm. The retained samples were taken and dried for 24 hours before further sieve analysis

211

tests.

TE D

M AN U

SC

204

Specific gravity and water absorption tests of coarse (retained on 4.75 mm sieve) and

213

fine aggregates (passed through 4.75 mm sieve) were undertaken according to ASTM C127

214

(2007). The pH tests were performed in accordance with BS 1377 (1990). About 30 g of dry

215

sample, which passed through a 200 µm sieve, was taken and 75 ml of distilled water was

216

added in the sample and stirred for a few minutes before suspension was left standing

217

overnight. The suspension was stirred immediately before testing. The pH value of the

218

suspension was measured by a digital meter with a glass electrode. The loss of ignition

219

method was used to determine the organic content of the aggregates (ASTM D2974, 2007).

220

To determine the maximum dry density and optimum moisture content, modified compaction

221

tests were undertaken on the recycled materials (ASTM D1557, 2009).

AC C

EP

212

9

ACCEPTED MANUSCRIPT 222

2.2 Hydraulic Conductivity and Water Quality Testing Infiltration or hydraulic conductivity test is a useful technique to determine the

224

permeability of the samples. Constant head method is used for coarse grained samples and

225

falling head method is used for fine grained samples. A laboratory test setup of constant head

226

hydraulic conductivity testing apparatus was used in this research for determining the

227

coefficient of hydraulic conductivity of the C&D materials. The schematic diagram of the

228

hydraulic conductivity testing apparatus is shown in Fig. 2. Commercially available

229

nonwoven geotextile with a hydraulic conductivity of 1.6 mm/s and porosity of 89% was

230

used in the research. The physical and hydraulic properties of the geotextile are summarised

231

in Table 1. The C&D materials were selected between the lower and upper bound limits as

232

per the local road authority requirements which will allow sufficient infiltration through the

233

media. As the hydraulic conductivity test is a very basic test, either Australian or ASTM

234

standard test procedure should be good enough for these types of particular C&D materials.

235

For the current research, the hydraulic conductivity tests were performed in accordance with

236

the Australian standard (SAA, 2003), which is also similar to ASTM D2434-68 (2006). The

237

infiltration or permeability tests were carried out for three replicate samples for each test. To

238

maintain consistency of the results, tests were performed under the same laboratory

239

conditions. The approximate test duration was between 90 and 120 seconds for each test. As

240

C&D aggregate was used in this research, the above mentioned test duration was sufficient to

241

collect enough outflow water to calculate the permeability value. The sample for this test was

242

compacted with modified Proctor compaction effort at optimum moisture content (OMC) and

243

maximum dry density (MDD). Furthermore, a series of samples with lower and higher

244

densities was used to investigate the hydraulic conductivity on the effect of density.

AC C

EP

TE D

M AN U

SC

RI PT

223

10

ACCEPTED MANUSCRIPT The influent suspensions were prepared in the laboratory by adding known amounts

246

of pollutants (approximately 250 mg/L to 450 mg/L) with distilled water, which is slightly

247

higher than the average TSS concentrations in stormwater runoff generated in urban areas

248

(Kim and Sansalone, 2008; Li and Davis, 2008). The effluent sediment concentrations after

249

filtration through various filter media such as sand, carbon sand, peat sand and composed

250

sand, have been measured by several researchers (Hatt et al. 2005; Clark and Pitt, 2009).

251

Different sizes of the sediment particles (75 µm to 600 µm) were selected to investigate the

252

effect of sediment sizes. A number of hydraulic conductivity tests with variable C&D particle

253

sizes (1.18 mm to 13.20 mm) and density (1850 kg/m3 to 2400 kg/m3) were undertaken in this

254

research. As worst case scenario, a series of hydraulic conductivity tests were carried out

255

using fine coarse aggregates (1.18 mm to 2.36 mm) and 450 mg/L of pollutants concentration

256

as influent suspension to investigate the clogging effects over time. Water samples to (i.e.

257

inflow) and from (i.e. outflow) the C&D filter media were collected. These water samples

258

were analysed for TSS, TN (Total Nitrogen) and TP (Total Phosphorus) using Australian

259

standard (SAA, 2003; Standard Methods, 1998) conducted by a well-known commercial

260

environmental laboratory.

261

2.3 Statistical Analysis and Water Quality Modelling

EP

TE D

M AN U

SC

RI PT

245

Statistical analysis of the experimental results was performed to compare the

263

reinforced and unreinforced C&D materials. To compare the parameters between each test,

264

two hypothesis tests were analysed using two-tailed t-tests, using 1% and 5% level of

265

significance. The null hypothesis states that each parameter should be similar to the other and

266

the level of significance (α) is defined as the probability of rejecting the null hypothesis.

267

Hence, it is safe to reject the critical (α) value if it is very small (Franks et al. 2012).

AC C

262

11

ACCEPTED MANUSCRIPT MUSIC (Model for Urban Stormwater Improvement Conceptualisation) developed by

269

Wong et al. (2002) enables users to evaluate conceptual design of stormwater management

270

systems to ensure they are appropriate for their catchments. MUSIC is a stochastic model,

271

which stochastically calculates generation of stormwater pollutants (gross pollutants, total

272

suspended solids, total phosphorus and total nitrogen) from catchment(s). MUSIC provides

273

the ability to simulate both quantity and quality of runoff from different types of catchments

274

(i.e. urban, agricultural and forest). Pollutants generation in MUSIC can be calculated either

275

using ‘mean concentration’ or log-normally generated distribution. The log-normal

276

distribution included in the MUSIC allows the user to alter the mean and standard deviation

277

parameters from the default values. Fletcher and Deletic (2007) conducted a comprehensive

278

review of statistical generation and estimation of pollutant loads from catchments. Duncan

279

(1999) undertook a comprehensive review of stormwater quality in urban catchments and this

280

review forms the basis for default values of event average concentration of total suspended

281

solids, total phosphorus and total nitrogen adopted in the MUSIC.

TE D

M AN U

SC

RI PT

268

In the present study, MUSIC was used to simulate pollutants removal efficiencies of

283

the C&D materials. The MUSIC’s simulations of the TSS, TN and TP removal efficiencies

284

were validated with the experimental results. Different C&D materials are represented by

285

their relevant hydraulic conductivity values in MUSIC program. To simulate the effects of

286

different types of C&D materials, hydraulic conductivity results found from the experimental

287

results were selected as model input data. As MUSIC requires rainfall data, a random 6

288

minutes interval recorded rainfall series from the year 1959 was selected for this purpose.

289

The MUSIC’s default parameters regarding inflow pollutants concentrations were adjusted to

290

generate the same influent pollutants concentrations used in the experiments.

AC C

EP

282

12

ACCEPTED MANUSCRIPT 291

3. Results and Discussion The physical and geotechnical properties of the C&D materials in urban stormwater

293

permeable pavement applications and comparison with typical specified requirements are

294

presented in Table 2.

295

3.1 Physical and Geotechnical Properties

RI PT

292

The physical properties were tested from three replicate samples for each test to

297

maintain consistency of the results. The specific gravity of RCA, CB and RAP were found to

298

meet specified requirements. The specific gravity for RAP was however found to be a little

299

lower than RCA and CB materials. This may be attributed to the fact that some bitumen

300

contents presence with RAP sample which have low density. The specific gravity results for

301

the C&D materials indicate that they can be considered as high quality aggregates. It can

302

also be noted from Table 2 that the specific gravity value of coarse aggregates is slightly

303

higher than that of the fine aggregates for RCA materials due to lower organic content and

304

higher density. The water absorptions of coarse aggregates are lower than the fine aggregates

305

for all recycled materials except for CB. This is because fine particles have larger surface

306

area and hence it can absorb more water than the coarse particles. It is found that the water

307

absorption values of recycled materials range from 6% to 14% while for a natural aggregate

308

the value does not exceed 3% (Poon and Chan, 2006). Therefore, it can be considered as

309

good quality materials and suitable for civil engineering applications. The gradation curves of

310

the C&D materials are shown in Fig. 3(a), and compared with the local engineering and

311

water authorities’ specifications for the usage of quarried materials in urban stormwater

312

management systems. Based on the gradation curves, the grain size distribution parameters

313

including Cu, Cc, and percentage of gravel, sand and fine particles are summarised in Table 2.

314

The results show that the properties obtained from particle size distribution were within the

AC C

EP

TE D

M AN U

SC

296

13

ACCEPTED MANUSCRIPT 315

typical requirements for various civil engineering applications. The particle size distribution

316

curve of the suspension solids is shown in Fig. 3 (b). The result shows that the particles are

317

less than 300 microns which satisfy the local water authorities’ minimum (<300 microns)

318

requirement (Duncan, 1999). Soil classification symbols from the Australian Soil Classification System (ASCS),

320

the Unified Soil Classification System (USCS) and the AAHOTO systems are presented in

321

Table 2. According to the ASCS, the investigated C&D materials (RCA, CB and RAP) have

322

approximately equal amounts of sand and gravel fractions, enabling them to be classified as

323

well-graded gravel (GW). The results show that the C&D aggregates were consistent with the

324

requirements of typical aggregates for civil engineering applications such as flexible

325

pavement sub-bases, footpaths and backfilling purposes (Arulrajah et al. 2014c; Rahman et

326

al. 2014a).

M AN U

SC

RI PT

319

The results of modified compaction tests conducted on the recycled C&D materials

328

are shown in Table 2. The modified compaction results indicate that RCA had the highest

329

MDD, while RAP had the lowest due to the presence of bitumen substances with RAP. The

330

OMC of the C&D materials indicate that RAP had the lowest OMC of 8.30%, while CB had

331

the highest of 12.75%. This is may be due to the fact that CB had higher pore spaces and

332

hence it can absorb more water than other C&D materials. The organic contents of the C&D

333

materials were found to be low except for RAP, which was also found within the acceptable

334

ranges. The results show that RCA had the lowest organic content than CB and RAP

335

aggregates. This is may be attributed to the fact that RCA consists with cement, sand and

336

stone which have low eruption property. The pH values of the C&D materials indicate that it

337

were slightly alkaline, though still within expected limits. Kolay et al. (2011) stated that pH

AC C

EP

TE D

327

14

ACCEPTED MANUSCRIPT 338

value depends on the organic contents, as therefore RAP had the lowest pH value due to

339

higher organic content.

340

3.2 Hydraulic Conductivity and Water Quality Testing Constant head hydraulic conductivity tests of the C&D materials were undertaken in

342

this research under different conditions such as different sediment percentages, sediment

343

sizes, aggregate densities, and aggregate sizes. The effluent suspensions were collected and

344

tested from a commercial environmental laboratory to investigate the hydraulic properties

345

and trapping efficiencies of the C&D materials.

SC

RI PT

341

Fig. 4 shows the hydraulic behaviour of the C&D materials (with and without a

347

geotextile layer) under various sediment concentrations (250 mg/L to 450 mg/L) used in this

348

study. Although these concentration levels are slightly higher than the average concentration

349

generated from urban areas, those were selected in this research as a worst case scenario

350

(Kim and Sansalone, 2008; Li and Davis, 2008). Among the tested C&D materials, hydraulic

351

conductivity is the highest for RAP and the lowest for CB. This is because, RAP had the

352

lowest fine contents when compared with RCA and CB aggregates, and hence it had the

353

highest hydraulic conductivity value. In general, the hydraulic conductivity values of the

354

C&D materials are higher than that of natural aggregate with same soil classification (Poon

355

and Chan, 2006). The hydraulic conductivity values were found to be within the range of

356

those specified for the usage in filter media in urban stormwater permeable pavement systems

357

(Melbourne Water, 2001). For any given C&D materials used in this research, the hydraulic

358

behaviour is almost the same for various sediment concentrations. Therefore, the authors

359

believe that it is difficult to find the difference in hydraulic behaviour for various sediment

360

concentrations and short term laboratory investigations. However, after a long period

AC C

EP

TE D

M AN U

346

15

ACCEPTED MANUSCRIPT 361

significant difference in hydraulic conductivities may be observed due to accumulated

362

clogging of sediments. It is also expected that the particle sizes of filter media has an effect on hydraulic

364

conductivity performance. Therefore, different filter media with various particle size ranges

365

between 1.18 mm and 13.20 mm were used in this research. The suspension concentration of

366

450 mg/L was selected for this particular series of tests as the worst case scenario. Higher

367

hydraulic conductivity was observed when higher particle sizes were used as filter media. It

368

is due to larger void spaces between larger particle sizes which eventually led to higher

369

hydraulic conductivity. The relationship between inflow sediment concentration and

370

hydraulic conductivity can be approximated with power function as shown in Fig. 5. It is to

371

be noted that these relationships are expected to vary with the filter media porosity/density

372

and the amount of accumulated clogging. Several researchers also found similar results,

373

where hydraulic conductivity increased with the increases of particle size (Shepherd, 1989).

M AN U

SC

RI PT

363

Another series of hydraulic conductivity tests was undertaken to assess the effects of

375

density of the filter media on hydraulic conductivity. The finer sizes (1.18 mm to 2.36 mm)

376

of particle were used for filter media as it represents as a worst case scenario in regards to

377

hydraulic conductivity. The results are shown in Fig. 6, where density variations are

378

considered at MDD, slightly higher and lower than MDD for the selected C&D materials

379

used in this research. From the figure it can be seen that the filter media density and the

380

hydraulic conductivity have an inverse linear relationship, i.e. with the increase of density,

381

hydraulic conductivity decreases linearly. However, this sort of linear relationship may not

382

exist for other materials. It is to be noted that the results may vary for a wider range and

383

several more variable numbers of density. Assouline (2006) also discussed a relationship

384

between bulk density and hydraulic conductivity of the soils and found a linear trend between

385

those parameters, which is similar to the current finding. However, due to compaction

AC C

EP

TE D

374

16

ACCEPTED MANUSCRIPT 386

energy, some water released from the sample which may have negative effects on the

387

permeability results. To overcome this problem, moisture contents with different fractions,

388

control compaction or undisturbed samples with larger size could be considered in order to

389

achieve more reliable results in future research. Long term clogging is one of the major concerns of infiltration through permeable

391

pavement systems. The clogging also depends on the sediments particle sizes and filter media

392

particle sizes. Therefore, hydraulic conductivity tests were conducted with different sizes of

393

sediment and lower sizes of filter media particles and the results are shown in Fig. 7. The

394

results show that hydraulic conductivity decreased with the increases of sediment sizes, as

395

larger sediment particles can easily seal the void spaces of the filter media. This relationship

396

is dependent on the grain size and mineralogy of the sediments (Bryant et al. 1975). In

397

practical field, different types of particles such as plastics, woods, dust and rubber from tyres

398

in surrounding environment of permeable pavement during storm event may create some

399

negative impacts on the hydraulic properties. However, the pavement surface should be

400

cleaned periodically to maintain higher permeability in filter layer. It is noted that correct

401

procedures such as gloves, overalls and dust masks with adequate ventilation system should

402

be used during cleaning the pavement surface as rubber crumb contains some chemical

403

elements. The typical chemical composition of rubber crumb have been discussed by

404

Richardson et al. (2011) which was determined according to IS 7490 (1997). The chemical

405

composition of the rubber crumb results are shown in Table 3. It shows that the

406

mercaptobenzothiazole (MBT) value is 0.5 and this is only concern with regard to human

407

health and safety. It is noted that the stearic acid has not any significant problem when used

408

in the alkaline characteristics environment.

AC C

EP

TE D

M AN U

SC

RI PT

390

17

ACCEPTED MANUSCRIPT To assess the clogging of filter media over the time after several filtrations, the same

410

test was repeated up to ten times (with one day intervals) for each of the tested materials

411

(with and without geotextile). The hydraulic conductivity and clogging characteristics mainly

412

depend on the filter media aggregate sizes (Shainberg et al. 1997). Finer filter media (1.18

413

mm to 2.36 mm) were used in this series of hydraulic conductivity tests as a worst case

414

scenario. Fig. 8 shows the hydraulic conductivity results for ten cycles of the selected C&D

415

materials. From Fig. 8, it is shown that hydraulic conductivity commenced reducing after

416

several cycles of the tests, as after several cycles significant amount of sediments were

417

trapped within the filter media causing impediment to the subsequent inflow. The results also

418

show that the highest clogging observed in CB and the lowest clogging from RAP aggregate

419

due to void spaces.

M AN U

SC

RI PT

409

The rate of average hydraulic conductivity reduction in each cycle was approximately

421

1% for all the cases. Though magnitude of reduction is very small, after a long period and

422

numerous storm events bringing inflows with high sediment concentrations, these higher

423

concentrations are likely to cause significant flow impediments to the inflows due to

424

successive accumulation (clogging) of sediments within the filter media, which eventually

425

may jeopardise the effectiveness of any such system. The design of permeable pavement

426

should be considered in terms of reduction in permeability and pollutant removal efficiency

427

over time due to sediment accumulation and clogging. Argue (2004) found from laboratory

428

and modelling studies that the permeability decreased 30-50% after a certain period of

429

service life for permeable pavement. The clogging effects of the pavement layers (filter

430

media) have also been discussed by other researchers (Winter et al. 2003). According to

431

Coustumer et al. (2008), after a certain performance period the effective hydraulic

432

conductivity can be assumed as 50% of the design value, and this value should be matched

433

with the relevant specifications. Nevertheless, filter media may need replacing after a certain

AC C

EP

TE D

420

18

ACCEPTED MANUSCRIPT 434

period of use and further in-depth investigations may be needed to provide reasonable

435

estimation of the operational period of such systems. Fig. 9 shows the relationships between inflow and outflow TSS concentrations for all

437

the materials (with and without geotextile). Fine aggregates as filter media and larger density

438

of sediments (450 mg/L) were used as a worst case scenario in this series of hydraulic

439

conductivity tests. As evident, outflow TSS concentrations linearly increase with the

440

increases of inflow TSS concentrations for all the C&D materials. For the same inflow TSS

441

concentrations, outflow TSS concentrations are much lower for the cases where geotextile

442

was used. This is due to the additional filtration caused by the geotextile. Also, for the cases

443

with geotextile, the rate of outflow TSS concentration (i.e. slopes of the lines in Fig. 9)

444

increases with the increase of inflow TSS concentration for all the materials. On average,

445

among the materials, CB has the highest trapping efficiency and RAP has the lowest trapping

446

efficiency. However, in general differences in trapping efficiencies among these materials are

447

very small. This is may be due to short term laboratory experiments rather than long term

448

investigation. However, it is recommended that field experimental works would be

449

undertaken to achieve significant results from these particular C&D materials.

EP

TE D

M AN U

SC

RI PT

436

An assessment of pollutants removal through finer C&D materials and geotextile was

451

undertaken in this research. The results obtained from single layer and double layer

452

geotextiles are shown in Table 4. The results show that the gross pollutants of TSS, TN and

453

TP were significantly reduced through C&D media when double layer geotextiles were used.

454

In some cases, the effects of a geotextile layer on pollutants removal performance are not

455

significant; it might be due to larger geotextile pore sizes and smaller pollutants particle sizes.

456

This is also may be attributed to the fact that some bound pollutants (especially phosphorus)

457

are mainly associated with smaller particles and trapping of such smaller particles is not

AC C

450

19

ACCEPTED MANUSCRIPT 458

achievable through tested filter media. However, for a longer period of such sediment

459

accumulations, the filter media is expected to become clogged, and eventually would be able

460

to trap smaller particles (Hatt et al. 2005). Nevertheless, some irregular variations in the

461

results might be due to the mixing variations in the dosing tank while testing. The pollutant removal efficiency is the highest for CB and the lowest for RAP

463

aggregate. These phenomena can be correlated with the hydraulic conductivity characteristics

464

of the C&D materials, which was the highest for RAP and the lowest for CB aggregate. It is

465

proved that the higher the hydraulic conductivity, the lower the pollutant removal efficiency.

466

Hatt et al. (2005) also found similar observation from gravel and sand media. It is to be noted

467

that the laboratory experiments were carried out with samples of smaller depth. In practice,

468

pavement filter media thickness would be higher, as such higher pollutant removal

469

efficiencies are expected. It is noted that the combination of geotextile and C&D materials

470

exhibit higher pollutant removal efficiency than the C&D materials alone while the hydraulic

471

conductivity remains almost the same (refer to Figs. 5 and 9). Previous researchers also stated

472

that the combination of geotextile and permeable pavement base can significantly reduce

473

contaminants or gross pollutants from stormwater runoff (Tota-Maharaj et al. 2012). The

474

authors believe that 100% pollutants removal efficiency is achievable in many cases,

475

however with the compromise of reducing hydraulic conductivity, which is not recommended

476

with the consideration of urban flooding. As such, there should be always a balance of target

477

pollutants removal efficiency and acceptable hydraulic conductivity.

478

3.3 Statistical Analysis and Water Quality Modelling

AC C

EP

TE D

M AN U

SC

RI PT

462

479

Statistical analysis was carried out using the experimental data on inflow and outflow

480

concentration which is represented as regression line as shown in Fig. 9. The statistical

481

analysis from Fig. 9 indicates that the slopes for RCA+Geotextile, CB+Geotextile and 20

ACCEPTED MANUSCRIPT RAP+Geotextile regressions lines are almost similar to each other at 5% level of significance

483

(Tables 5 and 6) where the mass of pollutants removal through the above media is

484

statistically the same. Similarly, the slopes obtained from RCA, CB and RAP regressions

485

lines are also almost the same at 1% level of significance. However they are significantly

486

different when geotextile was used with the C&D materials. The y-intercept values from Fig.

487

9 and Table 5 for the regression lines for RCA+Geotextile and RAP+Geotextile are equal at

488

5% level of significance (Table 6). Similarly, y-intercept values for CB and CB+Geotextile

489

are also the same at 5% level of significance.

SC

RI PT

482

A set of experimental results was analysed using MUSIC program for the permeable

491

pavement system. The MUSIC was simulated for a fictitious catchment area. A typical

492

permeable pavement system’s surface area was selected so that the discharge to surface area

493

ratio of the model was the same as the discharge to surface area ratio of the experimental

494

specimen. The comparison of experimental and MUSIC modelling results are shown in

495

Table 7. From the table it is shown that MUSIC simulations for TSS, TN and TP reductions

496

through C&D material are very close to the experimental results. However, maximum TSS

497

reduction (90%) was obtained from CB model analysis and maximum reduction for TN

498

(61.8%) and TP (70.2%) were found from RAP model analysis. Imteaz et al. (2013)

499

compared the MUSIC’s estimations with different experimental measurements in different

500

countries for three different treatment systems including permeable pavement. They also

501

noted MUSIC’s overestimation in regards to pollutants removal efficiencies. However,

502

reported deviations were much higher in their study.

503

4. Conclusions

504 505

AC C

EP

TE D

M AN U

490

The results obtained from C&D materials were compared with the fine particle size filter media considering as worst case scenario for permeable pavement systems. 21

ACCEPTED MANUSCRIPT The pH values of the materials indicate that the materials to be slightly alkaline,

507

though still within expected limits. The compaction characteristics of the various C&D

508

materials were found to be in a consistent range and equivalent to those expected of a

509

quarried material. The water absorptions of coarse aggregates were less than the fine

510

aggregates for all the cases except for CB aggregate. The fine particles have cumulative

511

larger specific surface, which led to absorb more water than the coarse particles. The specific

512

gravity values of C&D materials were found to meet specified requirements and these

513

indicate that they can be considered high quality aggregates. The organic contents of the

514

recycled C&D materials were found to be low, except for RAP for which the organic content

515

was also found within the acceptable ranges. The hydraulic conductivity of the recycled

516

materials can be described as low for RCA and CB and high for RAP aggregate. The lowest

517

pollutant removal was observed from RAP aggregate, as the hydraulic conductivity of RAP is

518

higher than that of RCA and CB aggregates.

M AN U

SC

RI PT

506

The results show that hydraulic conductivity increased with the increase of filter

520

media particle size, with the decrease of density and with the decrease of inflow sediment

521

sizes. Furthermore, it was found that the hydraulic conductivity reduced slightly after 10

522

cycles of experiments. To overcome this potential clogging effect and maintain water quality,

523

larger aggregates of filter media with suitable geotextile layer can be used to obtain required

524

hydraulic conductivity while achieving sufficient pollutants removals. However, a long-term

525

in-depth field investigation is necessary to assess potential effects of long-term clogging

526

behaviours of such systems with and without geotextile layers and with different sizes of

527

aggregates. Comparisons between experimental results and the MUSIC model reveal that

528

TSS, TN and TP values were also very close and the results obtained from MUSIC model are

529

slightly higher than the laboratory experimental results.

AC C

EP

TE D

519

22

ACCEPTED MANUSCRIPT The results presented would provide the reader with an indication of the testing

531

methodology, geotechnical properties, hydraulic properties, chemical properties and

532

performance of these traditionally waste materials in permeable pavement applications.

533

Based on the extensive suite of geotechnical, hydraulic and chemical tests, it is concluded

534

that the C&D materials used in this research are suitable alternative filter materials in

535

permeable pavement systems.

RI PT

530

AC C

EP

TE D

M AN U

SC

536

23

ACCEPTED MANUSCRIPT 537

References

538

Ahyerre, M., Chebbo, G., Tassin, B. and Gaume, E., 1998. Storm water quality modelling, an

539

ambitious objective. Water. Sc. Tech., 37 (1), 205–213. Argue, J.R., 2004. Water Sensitive Urban Design: basic procedures for ‘source control’ of

541

stormwater – a handbook for Australian practice. Urban Water Resources Centre,

542

University of South Australia, Adelaide, Australia.

RI PT

540

Arulrajah, A., Piratheepan, J., Bo, M.W. and Sivakugan, N., 2012a. Geotechnical

544

characteristics of recycled crushed brick blends for pavement sub-base applications.

545

Can. Geotech. J., 49 (7), 796-811.

M AN U

SC

543

546

Arulrajah, A., Ali, M.M.Y., Piratheepan, J. and Bo, M.W., 2012b. Geotechnical properties of

547

waste excavation rock in pavement sub-base applications. J. Mater. Civ. Eng., 24 (7),

548

924-932.

Arulrajah, A., Piratheepan, J., Disfani, M.M. and Bo, M.W., 2013. Geotechnical and

550

geoenvironmental properties of recycled construction and demolition materials in

551

pavement subbase applications, J. Mater. Civ. Eng., 25 (8), 1077-1088.

TE D

549

Arulrajah, A., Rahman, M., Piratheepan, J., Bo, M. and Imteaz, M., 2014a. Evaluation of

553

Interface Shear Strength Properties of Geogrid-Reinforced Construction and

554

Demolition Materials using a Modified Large Scale Direct Shear Testing

556 557 558

AC C

555

EP

552

Apparatus. J. Mater. Civ. Eng., 26 (5), 974–982.

Arulrajah,

A.,

Piratheepan,

J.

and

Disfani,

M.M.,

2014b.

Reclaimed

asphalt

pavement/recycled concrete aggregate blends in pavement subbase applications: laboratory and field evaluation. J. Mater. Civ. Eng., 25 (12), 1920-1928.

559

Arulrajah, A., Disfani, M.M., Horpibulsuk, S., Suksiripattanapong, C. and Prongmanee, N.,

560

2014c. Physical properties and shear strength responses of recycled construction and 24

ACCEPTED MANUSCRIPT 561

demolition materials in unbound pavement base/subbase applications. Con. Build.

562

Mater., 58, 245–257.

563 564

Assouline, S., 2006. Modeling the Relationship between Soil Bulk Density and the Hydraulic Conductivity Function. Vad. Zone J., 5 (2), 697-705. ASTM C127, 2007. Standard Test Method for Density, Relative Density (Specific Gravity),

566

and Absorption of Coarse Aggregate. ASTM, West Conshohocken, PA, USA.

567

ASTM D1241, 2007. Standard specification for materials for soil-aggregate subbase, base

572 573 574 575 576 577 578 579 580

SC

M AN U

571

(Constant Head). ASTM, West Conshohocken, PA, USA.

ASTM D1557, 2009. Standard test methods for laboratory compaction characteristics of soil using modified effort. ASTM, West Conshohocken, PA, USA. ASTM D2974, 2007. Standard test methods for moisture, ash, and organic matter of peat and other organic soils. ASTM, West Conshohocken, PA, USA.

TE D

570

ASTM D2434-68, 2006. Standard Test Method for Hydraulic conductivity of Granular Soils

ASTM D422-63, 2007. Standard Test Method for Particle-Size Analysis of Soils. ASTM, West Conshohocken, PA, USA.

Barrett, M.E., Irish, L.B., Malina, J.F. and Charbeneau, R.J., 1998. Characterization of

EP

569

and surface courses. ASTM, West Conshohocken, PA, USA.

highway runoff in Austin, Texas, area. J. Env. Eng., 124 (2), 131–137.

AC C

568

RI PT

565

Bean, E.Z., Hunt, W.F. and Bidelspach, D.A., 2007. Field survey of permeable pavement surface infiltration rates. J. Irrig. Drain. Eng., 133 (3), 249–255.

581

Blengini, G.A. and Garbarino, E., 2010. Resources and waste management in Turin (Italy):

582

the role of recycled aggregates in the sustainable supply mix. J. Clean. Prod., 18 (10–

583

11), 1021–1030.

584

25

ACCEPTED MANUSCRIPT 585 586

Bouwer, H., 2002. Artificial recharge of groundwater: hydrogeology and engineering. J. Hydro., 10 (1), 121-142. Boving, T.B., Stolt, M.H., Augenstern, J. and Brosnan, B., 2008. Potential for localized

588

groundwater contamination in a porous pavement parking lot setting in Rhode Island.

589

Env. Geol., 55 (3), 571–582.

RI PT

587

Bryant, W.R., Hottman, W. and Trabant, P., 1975. Hydraulic conductivity of unconsolidated

591

and consolidated marine sediments, gulf of Mexico. Marine Geotechnology Geotech.,

592

1 (1), 1-14.

594

BS 1377, Part 1–4, 1990. Soils for civil engineering purposes. British Standards Institution. London. UK.

M AN U

593

SC

590

595

Chai, L., Kayhanian, M., Givens, B., Harvey, J.T. and Jones, D., 2012. Hydraulic

596

Performance of Fully Permeable Highway Shoulder for Storm Water Runoff

597

Management. J. Env. Eng., 138, (7), 711-722.

Chopra, M., Kakuturu, S., Ballock, C., Spence, J. and Wanielista, M., 2010. Effect of

599

Rejuvenation Methods on the Infiltration Rates of Pervious Concrete Pavements. J.

600

Hydro. Eng., 15, (6), 426-433.

EP

602

Clark, S.E. and Pitt, R., 2009. Solids removal in storm-water filters modelled using a power equation. J. Env. Eng., 135 (9), 896–899.

AC C

601

TE D

598

603

Clay, S., Gibson, D. and Ward, J., 2007. Sustainability Victoria: influencing resource use,

604

towards zero waste and sustainable production and consumption. J. Clean. Prod., 15

605

(8–9), 782–786.

606

Coustumer, S.L, Fletcher, T.D, Deletic, A. and Potter, M., 2008. Hydraulic performance of

607

biofilter systems for stormwater management: lessons from a field study.

608

Investigation into the long term sustainability of stormwater bioretention systems.

609

Monash University, Melbourne, Vic., 3800, Australia. 26

ACCEPTED MANUSCRIPT 610 611 612 613

Dept. of Design and Construction (DDC), 2005. High performance infrastructure guidelines. Department of Design and Construction (DDC), New York, USA. Dept. of Sustainability, Environment, Water, Population and Communities (DSEWPC). 2012. The Australian recycling sector. Canberra, Australia. Disfani, M.M., Arulrajah, A., Bo, M.W. and Sivakugan, N., 2012. Environmental Risks of

615

Using Recycled Crushed Glass in Road Applications. J. Clean. Prod., 20 (1), 170–

616

179.

618

Duncan, H.P., 1999. Urban Stormwater Quality: A Statistical Overview. Report 99/3, CRC for Catchment Hydrology, Melbourne, Australia.

SC

617

RI PT

614

Emerson, C.H., Wadzuk, B.M. and Traver, R.G., 2010. Hydraulic evolution and total

620

suspended solids capture of an infiltration trench. Hydrol. Processes, 24 (8), 1008–

621

1014.

M AN U

619

EPA U.S., 2005. National management measures guidance to control nonpoint source

623

pollution from urban areas. EPA 841-B-05-004, U.S. Environmental Protection

624

Agency,Washington DC, USA.

626

Fassman, E and Blackbourne, S., 2010. Urban runoff mitigation by a permeable pavement system over impermeable soils. J. Hydro. Eng., 15 (6), 475-485.

EP

625

TE D

622

Fletcher, T.D. and Deletic, A., 2007. Statistical observations of a stormwater monitoring

628

programme; lessons for the estimation of pollutant loads. 6th international conference

629 630

AC C

627

on sustainable techniques and strategies in urban water management, NOVATECH, 3 (1575-1582).

631

Franks, C.A, Davis, A.P. and. Aydilek, A.H., 2012. Geosynthetic Filters for Water Quality

632

Improvement of Urban Storm Water Runoff. J. Mater. Civil Eng., 138 (10), 1018-

633

1028.

27

ACCEPTED MANUSCRIPT 634

Grubb, D.G., Gallagher, P.M., Wartman, J., Liu, Y. and Carnivale, M.C., 2006. Laboratory

635

evaluation of crushed glass-dredged material blends. J. Geotech. Geoenviro Geoenv.

636

Eng. 132 (5), 562-576. Häkkinen, T. and Vares, S., 2011. Environmental impacts of disposable cups with special

638

focus on the effect of material choices and end of life. J. Clean. Prod., 18 (14), 1458-

639

1463.

RI PT

637

Hatt, B,T., Fletcher, T.D. and Deletic, A., 2009. Hydrologic and pollutant removal

641

performance of stormwater biofiltration systems at the field scale. J. Hydro., 365 (3-

642

4), 310-321.

SC

640

Hatt, B.E., Siriwardene, N., Deletic, A. and Fletcher, T.D., 2005. Filter media for stormwater

644

treatment and recycling: the influence of hydraulic properties of flow on pollutant

645

removal. 10th International Conference on Urban Drainage, Copenhagen, Denmark,

646

21-26 August 2005.

650 651 652 653 654

TE D

649

Carbide Residue and Fly Ash. J. Mater. Civil Eng., 24 (2), 184-193. Imteaz, M.A., Ahsan, A., Rahman, A. and Mekanik, F., 2013. Modelling Stormwater Treatment Systems using MUSIC: Accuracy. Res. Conser. Recy., 71, 15-21.

EP

648

Horpibulsuk, S., Phetchuay, C. and Chinkulkijniwat, A., 2012. Soil Stabilization by Calcium

IS 7490, 1997. Reclaimed Rubber Specifications. Bureau of Indian Standards, New Delhi,

AC C

647

M AN U

643

India.

Kim, J.K. and Sansalone, A.H., 2008. Event-based size distributions of particulate matter transported during urban rainfall-runoff events. Water Res., 42 (10–11), 2756–2768.

655

Kolay, P.K., Aminur, M.R., Taib, S.N.L. and Mohd Zain, M.I.S., 2011. Stabilization of

656

tropical peat soil from Sarawak with different stabilizing agents. Geotech. Geol. Eng.

657

29:1135–1141.

28

ACCEPTED MANUSCRIPT

660 661 662 663 664 665

field studies. J. Env. Eng., 134 (6), 409–418. Lindsey, T.C., 2011. Sustainable principles: common values for achieving sustainability. J. Clean. Prod., 19 (5), 561-565. Melbourne Water, 2001. Sands, Crushed rock and crushed scoria. Specification 21.A.038,

RI PT

659

Li, H. and Davis, A.P., 2008. Urban particle capture in bioretention media I: Laboratory and

August, Melbourne water, Victoria, Australia. .

Melbourne Water, 2012. Porous paving. Healthy waterways, Melbourne water, Victoria, Australia.

SC

658

Newton, D.B., Jenkins, G.A. and Phillips, I., 2003. The potential of porous pavement for

667

urban stormwater management. Paper presented at the 28th International Hydrology

668

and Water Resources Symposium, Engineers Australia Wollongong, NSW.

669 670

M AN U

666

Pezzaniti, D., Beecham, S. and Kandasamy, J., 2009. Influence of clogging on the effective life of permeable pavements. J. Water Manag., 162 (2), 76-87. Pitt, R., Bannerman, R., Clark, S. and Williamson, D., 2004. Sources of pollutants in urban

672

areas, Part 2. In: Effective Modeling of Urban Water Systems, Monograph 13. James,

673

Irvine, McBean and Pitt, Eds. ISBN 0-9736716-0-2.

EP

675

Poon, C.S. and Chan, D., 2006. Feasible use of recycled concrete aggregates and crushed clay brick as unbound road sub-base. Constr. Build. Mater., 20 (8), 578–585.

AC C

674

TE D

671

676

Puppala, A.J., Hoyos, L.R. and Potturi, A.K., 2011. Resilient Moduli Response of

677

Moderately Cement-Treated Reclaimed Asphalt Pavement Aggregates. J. Mater. Civil

678

Eng., 23 (7), 990-998.

679

Rahman, M.A., Imteaz, M.A., Arulrajah, A. and Disfani, M.M., 2014a. Suitability of recycled

680

construction and demolition aggregates as alternative pipe backfilling materials. J.

681

Clean. Prod., 66, 75-84.

29

ACCEPTED MANUSCRIPT 682

Rahman, M.A., Arulrajah, A., Piratheepan, J., Bo, M.W. and Imteaz, M., 2014b. Resilient

683

modulus and permanent deformation responses of geogrid-reinforced construction and

684

demolition materials. J. Mater. Civil Eng., 26 (3), 512-519.

686 687 688

Reid, C., Be´ caert, V., Aubertin, M., Rosenbaum, R.K. and Descheˆnes, L., 2009. Life cycle assessment of mine tailings management in Canada. J. Clean. Prod., 17 (4), 471–479.

RI PT

685

Richardson, A.E., Coventry K., Dave, U. and Pineaar, J., 2011. Freeze/thaw protection of concrete using granulated rubber crumb. J. Green Build., 6 (1), 83 -92.

Rodrigues, F., Carvalho, M.T., Evangelista, L. and Brito, J., 2013. Physicalechemical and

690

mineralogical characterization of fine aggregates from construction and demolition

691

waste recycling plants, J. Clean. Prod., 52, 438-445.

693

M AN U

692

SC

689

Scholz, M. and Grabowiecki, P., 2007. Review of permeable pavement systems. Build. Env., 42 (11), 3830-3836.

Shackel, B., Beecham, S.,Pezzaniti, D. and Myers, B. 2008. Design of permeable pavements

695

for australian conditions. 23rd ARRB Conference – Research Partnering with

696

Practitioners, Adelaide, Australia.

699 700

Properties. Soil Sci., 62 (7), 470-478.

EP

698

Shainberg, I., Levy, G.J., Levin, J. and Goldstein, D., 1997. Aggregate Size and Seal

Shepherd, R.G., 1989. Correlations of Hydraulic conductivity and Grain Size. Groundwater,

AC C

697

TE D

694

27 (5), 633–638.

701

Sieffert, Y., Huygen, J.M. and Daudon, D., 2014. Sustainable construction with repurposed

702

materials in the context of a civil engineering architecture collaboration, J. Clean.

703

Prod., 67, 125-138.

704

Siriwardene, N., Deletic, A. and Fletcher, T.D., 2007. Clogging of stormwater gravel

705

infiltration systems and filters: Insights from a laboratory study. Water Res., 41 (7),

706

1433-1440. 30

ACCEPTED MANUSCRIPT 707 708

Standard Association of Australia, (SAA) 2003. Soils for landscaping and garden use. AS 4419. NSW, Australia. Standard Methods, 1998. Examination of water and wastewater. 20th edn, American Public

710

Health Association/American Water Works Association/Water Pollution Control

711

Federation, (APHA/AWWA/WPCF), Washington, DC, USA.

RI PT

709

Strynchuk, J., Royal, J. and England, G., 2003. Study of decomposition of grass and leaves.

713

In: Practical Modeling of Urban Water Systems, Monograph 11. Edited by W. James.

714

373.

716 717 718

Sustainability Victoria. 2010. Victorian recycling industries annual report 2008-2009. ISSN 1836-9902, Melbourne, VIC, Australia.

M AN U

715

SC

712

Tam, V.W.Y., 2009. Comparing the implementation of concrete recycling in the Australian and Japanese construction industries. J. Cleaner Prod., 17(7), 688–702. Tota-Maharaj, K., Grabowiecki, P., Babatunde, A. and Coupe, S.J., 2012. The Performance

720

and Effectiveness of Geotextiles within Permeable Pavements for Treating

721

Concentrated Stormwater. Sixteenth International Water Technology Conference,

722

IWTC 16 2012, Istanbul, Turkey.

TE D

719

Tsang, C.F, Bernier, F. and Davies, C., 2005. Geohydromechanical processes in the

724

Excavation Damaged Zone in crystalline rock, rock salt, and indurated and plastic

726

AC C

725

EP

723

clays—in the context of radioactive waste disposal. Int. J. Rock Mech., 42 (1), 109– 125.

727

Winter, K.J. and Goetz, D., 2003. The impact of sewage composition on the soil clogging

728

phenomena of vertical flow constructed wetlands. Water Sc. Tech., 48 (5), 9-14.

729

Wong, T.H.F., Fletcher, T.D., Duncan, H.P., Coleman, J.R. and Jenkins, G.A., 2002. A

730

Model for Urban Stormwater Improvement Conceptualization, in Integrated

731

Assessment and Decision Support. Proceedings of the 1st Biennial Meeting of the 31

ACCEPTED MANUSCRIPT 732

International Environmental Modelling and Software Society, Lugano, Switzerland,

733

1, 48-53.

735 736 737

Zong, L., Fei, Z. and Zhang, S., 2014. Permeability of recycled aggregate concrete containing fly ash and clay brick waste, J. Clean. Prod., 70, 175-182. Yu, R. and Shui, Z., 2014. Efficient reuse of the recycled construction waste cementitious Materials, J. Clean. Prod., 78, 202-207.

AC C

EP

TE D

M AN U

SC

738

RI PT

734

32

ACCEPTED MANUSCRIPT

List of Tables

740

Table 1: Physical and hydraulic properties of the nonwoven geotextile

741

Table 2: Physical and geotechnical properties of C&D materials

742

Table 3: Analysis of rubber crumb (IS 7490: 1997)

743

Table 4: Assessment of pollutants removal from finer C&D materials using geotextiles

744

Table 5: Slope and constant values (b1 and b0) and their corresponding standard error

745

Table 6: Critical levels of significance obtained from statistical two-tailed t-tests analysis

746

Table 7: Comparison of model and experimental results for permeable pavement

SC

RI PT

739

AC C

EP

TE D

M AN U

747

33

ACCEPTED MANUSCRIPT

Table 1: Physical and hydraulic properties of the nonwoven geotextile

748

Hydraulic properties

Flow rate (L/m2/s)

Permittivity (s-1)

Hydraulic conductivity k (mm/s)

Porosity (%)

Unit weight (kN/m3)

Thickness (mm)

Grab tensile strength (N)

Trapezoidal Tear Strength (N)

80

120

1.2

1.6

89

5.04

3.25

2130

740

SC

Pore size (µm)

749

M AN U

750 751 752

757 758 759

EP

756

AC C

755

TE D

753 754

RI PT

Physical properties

34

ACCEPTED MANUSCRIPT Table 2: Physical and geotechnical properties of C&D materials

760

RCA

CB

RAP

Typical Specified Requirements

Coefficient of uniformity (cu)

78.0

71.0

7.8

>4

Coefficient of curvature (cc)

2.9

2.8

1.8

1 ≤ Cc ≤ 3

Gravel contents (%)

47.9

52.6

56.3

40-100

Sand contents (%)

42.2

38.4

41.6

30-50

Fine contents (%)

9.9

9.0

2.1

<10

USCS classification

GP-GM

GW

GW

GW/SW

ASCS classification

GP-GM GP-GM

Specific gravity - Coarse

A-1-a

A-1-a

2.4

2.3

>2.0

2.6

2.5

2.3

>2.0

6.7

13.8

12.02

<10

7.1

10.3

13.9

<10

1.8

2.0

4.03

5

10.5

9.5

7.2

6-11

Compaction (Modified): MDD (kg/m3)

2100

2010

1900

1750

Compaction (Modified): OMC (%)

12.5

12.8

8.3

8-15

Water absorption - Coarse (%) Water absorption - Fine (%)

EP AC C

pH

TE D

Organic content (%)

762

A-1-a

GW/SW

2.7

Specific gravity - Fine

761

SC

A-1-a

GP

M AN U

AASHTO classification

RI PT

Geotechnical Properties

35

ACCEPTED MANUSCRIPT Table 3: Analysis of rubber crumb (IS 7490: 1997)

763

Ingredients

Parts per hundred - Rubber

1

Rubber Crumb

100 (As rubber hydrocarbon)

2

Zinc Oxide

5.0

3

Stearic acid

4

MBT

5

Sulphur

2.0

0.50 3.0

AC C

EP

TE D

M AN U

SC

764

RI PT

Sample

36

ACCEPTED MANUSCRIPT

Table 4: Assessment of pollutants removal from finer C&D materials using geotextiles

Layer-1

Layer-2

Effluent 16.90

Effluent 8.5

CB

CB+Geotextile Layer-1

Layer-2

Effluent 28.50

Effluent 12.58

Effluent 7.2

1.10

0.70

250

Total Nitrogen (mg/L)

2.75

1.80

0.92

0.9

1.73

Total Phosphorous (mg/L)

2.35

1.50

0.65

0.75

1.25

M AN U

TSS (mg/L)

Effluent 36.50

Note: Layer-1 denoted as single layer geotextile and

TE D

Layer-2 denoted as double layer geotextile

EP

768

Influent

RCA+Geotextile

AC C

767

RCA

RI PT

Test Type

SC

765 766

37

RAP

RAP+Geotextile Layer-1

Layer-2

Effluent 46.80

Effluent 23.10

Effluent 15.7

0.65

1.15

0.45

0.31

0.42

0.79

0.29

0.12

ACCEPTED MANUSCRIPT Table 5: Slope and constant values (b1 and b0) and their corresponding standard error Se (b1)

b0

Se (b0)

RCA

0.37

0.005

–0.04

0.002

RCA+Geotextile

0.20

0.004

–0.02

0.001

CB

0.33

0.009

–0.03

0.003

CB+Geotextile

0.19

0.004

RAP

0.31

0.003

RAP+Geotextile

0.21

0.006

RI PT

b1

–0.03

0.001

–0.01

0.001

–0.02

0.002

EP

TE D

M AN U

SC

Material Type

AC C

769

38

ACCEPTED MANUSCRIPT

Table 6: Critical levels of significance obtained from statistical two-tailed t-tests analysis

771 772

RI PT

RCA

1 0.0051 0.0829 0.0159 0.0116

SC

1 <0.0001 0.1445 <0.0001 0.0092 <0.0001

M AN U

RCA RCA+Geotextile CB CB+Geotextile RAP RAP+Geotextile RCA RCA+Geotextile CB CB+Geotextile RAP RAP+Geotextile

Material Type RCA+Geotextile CB CB+Geotextile <0.0001 <0.0001 0.1287 1 <0.0001 0.0803 <0.0001 1 <0.0001 < 0.0001 1 0.0820 <0.0001 <0.0001 0.3034 <0.0001 0.0697 0.0122 0.0080 1 0.0010 0.4286 0.2155

TE D

b0

Material Type

EP

Parameter in linear regression b1

AC C

770

39

0.1025 0.0010 1 0.0026 0.0016

0.0155 0.3612 0.0017 1 0.7164

RAP 0.0092 <0.0001 0.3216 <0.0001 1 <0.0001

RAP+Geotextile <0.0001 0.0661 <0.0001 <0.0001 <0.0001 1

0.0143 0.1805 0.0013 0.7440 1

0.0110 0.9401 0.0015 0.0015 0.2827

ACCEPTED MANUSCRIPT Table 7: Comparison of model and experimental results for permeable pavement

773

Elements

Inflow parameters

Reduction in outflow parameters (%) RCA

CB

RAP

Experiment Model Experiment Model Experiment 85.40 87.04 88.60 90.00 81.28

Model 83.4

250

TN (mg/L)

2.75

34.55

37.45

37.09

40.00

58.18

61.8

TP (mg/L)

2.35

36.17

40.43

46.81

51.06

66.38

70.2

AC C

EP

TE D

M AN U

SC

774

RI PT

TSS (mg/L)

40

ACCEPTED MANUSCRIPT

List of Figures

776

Fig. 1: Schematic diagram of a typical permeable pavement cross section.

777

Fig. 2: Schematic diagram of testing setup for hydraulic conductivity testing.

778

Fig. 3: Particle size distribution of C&D materials.

779

Fig. 4: Effect of sediment concentration on hydraulic conductivity.

780

Fig. 5: Effect of particle size on hydraulic conductivity.

781

Fig. 6: Effect of density on hydraulic conductivity.

782

Fig. 7: Effect of sediments particle size on hydraulic conductivity.

783

Fig. 8: Effect of time with influent suspension on clogging.

784

Fig. 9: Effect of influent suspension percentages on effluent suspension.

AC C

EP

TE D

M AN U

SC

RI PT

775

41

ACCEPTED MANUSCRIPT

Walkway Permeable paving surface layer Runoff

RI PT

Choker course

Geotextile layer

Subgrade layer

AC C

EP

TE D

M AN U

Perforated pipe

Subbase storage layer

SC

Durable stone

ACCEPTED MANUSCRIPT

Mixer

RI PT

Influent suspension Control valve

SC

Constant head water jar

Overflow tube

Inlet tube

132 mm

M AN U

Geotextile filter

TE D

C&D filter media

152 mm

EP

Outlet tube

AC C

Sampling bottle

Head loss tube

ACCEPTED MANUSCRIPT

Crushed Brick (CB)

60

20

Suspension soilids particle size distribution

TE D

100

Fig. 3(a)

80

EP

60 40 20 Fig. 3(b)

0 0.001

AC C

0

100

M AN U

Reclaimed Asphalt Pavement (RAP)

40

10

RI PT

1

Recycled Concrete Aggregate (RCA)

80

Percentage Passing (%)

0.1

SC

0.01 100

0.010 Particle Size (mm)

0.100

ACCEPTED MANUSCRIPT

RCA

RCA+Geotextile

CB

CB+Geotextile

RAP+Geotextile

SC

120

M AN U

100

TE D

80

EP

60

40

AC C

Hydraulic conductivity (mm/h)

RAP

RI PT

140

20 250

300

350 Inflow TSS (mg/L)

400

450

ACCEPTED MANUSCRIPT

180 160

SC M AN U

120 100

TE D

80

EP

60 40

RCA RCA+Geotextile CB CB+Geotextile RAP RAP+Geotextile

AC C

Hydraulic conductivity, k (mm/h)

140

RI PT

RCA: k = 35.383 PS0.5546 RCA+Geotextile: k = 34.747 PS0.5575 CB: k = 19.475 PS0.7363 CB+Geotextile: k = 18.902 PS0.7453 RAP: k = 65.86 PS0.35 RAP+Geotextile: k = 64.262 PS0.3579 Note: "PS" denoted as particle size

20 0 0

2

4

6 8 Filter media particle size (mm)

10

12

14

ACCEPTED MANUSCRIPT

140

RI PT M AN U

SC

100

80

TE D

60

EP

40

RCA RCA+Geotextile CB CB+Geotextile RAP RAP+Geotextile

AC C

Hydraulic conductivity, k (mm/h)

120

20

0 1.5

1.7

1.9

2.1

Filter media particle density (Mg/m3)

2.3

2.5

ACCEPTED MANUSCRIPT

140

RCA

RCA+Geotextile

CB

CB+Geotextile

RI PT

RAP+Geotextile

M AN U

SC

100

80

TE D

60

EP

40

AC C

Hydraulic conductivity, k (mm/h)

120

RAP

20

0 75

150

300 Inflow sediment size (µm)

425

600

ACCEPTED MANUSCRIPT

100

RI PT

90

M AN U

SC

70 60 50

TE D

40

EP

30 20 10

RCA

AC C

Hydraulic conductivity, k ((mm/h)

80

RCA+Geotextile

CB

CB+Geotextile

RAP

RAP+Geotextile

0 0

1

2

3

4

5

6

7

Cycles (one day interval)

8

9

10

11

ACCEPTED MANUSCRIPT

RI PT

0.12

SC M AN U

0.08

TE D

0.06

EP

0.04

0.02

0.00

RCA RCA+Geotextile CB CB+Geotextile RAP RAP+Geotextile

AC C

Effluent TSS (g/L)

0.10

0.2

0.3

0.4

Influent TSS (g/L)

0.5

ACCEPTED MANUSCRIPT HIGHLIGHTS

Accumulation of clogging effect for recycled materials was analysed.



Permeability tests were performed with different variables.



Water modelling results were compared with laboratory experiments.



Statistical analysis was developed using experimental data.



Recycled materials are suitable in permeable pavement applications.

AC C

EP

TE D

M AN U

SC

RI PT