Back-analysis method from displacements for viscoelastic rock mass

283A 905228 General statistical procedure for ground-water detection monitoring at waste disposal facilities Gibbons, R D Ground Water V28, N2, March-April 1990, P235-243 Nonparametric prediction limits provide a straightforward approach to detection of potential indicator parameters at waste disposal sites. If resampling is included as a fundamental part of the probability statement,a relatively small background sample size is necessary to provide simultaneous 95% upper predictor limits for relatively large numbers of monitoring wells. The background of the method is presented, and examples of its application shown. 905229 New method for reservoir mapping Journel, A G; Aiabert, F G J Pet Teetmol V42, N2, Feb 1990, P212-218 A new algorithm, sequential indicator simulation (SIS), is presented, which allows construction of alternative, equiprobable models of reservoir heterogeneities, which reflect the spatial connectivity patterns of extreme values such as permeability. Its application is illustrated using the data set from slabs of Berea sandstone which have previously been densely sampled for permeability. 9O523O Spatial simulation of geologic variables Sen, Z Math Gcol V22, N2, Feb 1990, P175-188 Since the advent of geostatistics, frequency distribution functions of spatial variables and interdependence within the data themselves or with other variables have been studied. Simulation models of geologic data such as ore grade, fracture parameters, or lithology are sought both to enable control of the variables themselves in the case of any change and to assess risks associated with the data. A three dimensional, anisotropic autoregressive simulation model is presented, which is easily reduced for the cases of 1, 2, or 3 dimensional isotropic simulation. 905231 Probabilistic estimate of the design strength of chemically stabilized loess clayey soil Sheinin, V I; Uiyakhin, O V; Grachev, Y A Soil Mech Found Engng V26, N2, March-April 1989, P49-53 Chemically stabilised soil masses are generally nonuniform, with coefficient of variation of strength of 0.5 or more. A probabilistic analysis to estimate the strength of such a soil mass is presented, based on a correlation function considering distance between points in plan and depth. Penetration test data are used as input for the analysis. Probability characteristics of variability of soil characteristics are determined, and design strength of the soil mass evaluated. 905232 Probabilistie analysis of cone penetration testing data: some problems and solutions Ferronsky, V I; Divinsky, M L Proc 1st International Symposium on Penetration Testing, ISOPT-I, Orlando,20-24 March 1988 V2. P751-755. Publ Rotterdam." A A Balkema, 1988 Current requirements for the high degree of the safety and reliability of static cone penetration test results necessitate the improvement of methods for data analysis. The importance of

the construction of a conceptual model of distribution of random variables and its effect on the analysis results are outlined. Some problems concerning the sample numbers, measurement accuracy, as well as examination of the sequences of soil characteristics within a test hole are examined. 9O5233 Structural analysis of the methane content in the deposit Cyrul, T Rock Mec&mics as a Guide for E.~icient Utilization of Natural Resources: Proc 30th U.S. Symposium, Morgantown, 19-22 June 1989 P883-890. Publ Rotterdam: A A Balkema, 1989 Available data on coal seam methane concentration for two adjacent pits in the Upper Silesian coal field in Poland have been examined geostatistically in order to develop a method for predicting underground safety. The data are irregularly scattered within the deposit and variograms are scattered and difficult to interpret. 9O5234 Back-analysis method from displacements for viscoelastic rock mas~ Wang Sijing; Yang Zhifa; Xue Ling Proc 2nd InternatioMl Symposium on Field Measurements in Geomechanics, Kobe, 6-9 April 1987 V2, P1059-I068. Publ Rotterdam: A A Balkema, 1988 A method for back analysis of various parameters of a weak rock mass from displacements caused by excavation is presented. Rheological back analysis in plane strain is combined with back analysis in a 3-D problem of elasticity. Viscoelastic solutions are derived for 3 rheological models and a method to back analyse parameters of a theological rock mass developed for Maxwell, Poyting-Thomson and Kelvin bodies. Two examples are presented to illustrate use of the method. 905235 Preliminary assessment of correct reduction of field measurement data: scalars, vectors and tensors Dyke, C G; Hyett, A J; Hudson, J A Proc 2nd Imernatiomd Symposium on Field Measurements in Geomeclumics, Kobe, 6-9 April 1987 V2, P1085-1095. Publ Rotterdam: A A Balkema, 1988 Parameters associated with rock properties and behaviour are not all scalar, so data reduction methods must be matched to the type of quantity in question, scalar, vector or tensor. Vector and tensor quantities cannot be reduced by traditional statistical techniques. Methods to derive mean, accuracy and precision for tensors and vectors and variation for vectors are presented. Inaccuracy of scalar methods is illustrated by averaging the stress tensor by conventional scalar least squares method and the new method proposed. 905236 Estimation of subsurface soil layer in Mexico City using the database system Kawamura, M; Arai, T; Ozawa, T Proc internmiomd Conference on Engineering Problems of Regional Soils, Beijing , 11-15 August 1988 P415-419. Publ Beijing: International Academic Publishers, 1989 A database of the subsurface in the Mexico City area was developed to facilitate analysis of the 1985 earthquake. Estimation of the distribution of soils and the classification of soil layers is discussed. Layers are classified using the database system and cluster analysis and soil profiles along an arbitrary section can be drawn automatically and objectively.

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