Mapping and Predicting Soil Properties: Theoryby Myassar M. Tabba, (M.ASCE), Geotechnical Project Engr.; National Boring and Sounding Inc., Group LAVALIN, Montreal, Canada; also Auxiliary Prof. Dept. of Civ. Engrg. and Applied Mechanics. McGill Univ., 817 Sherbrooke W., Montreal, P.Q., Montreal Canada H3A 2K6,
Raymond N. Yong, (M.ASCE), William Scott Prof. of Civ. Engrg. and Applied Mechanics and Dir.; Geotechnical Research Centre, McGill Univ., 817 Sherbrooke St. W., Montreal, P.Q. Canada H3A 2K6,
Serial Information: Journal of the Engineering Mechanics Division, 1981, Vol. 107, Issue 5, Pg. 773-793
Document Type: Journal Paper
The problem of assessment of distribution and variation of random subsoil properties and conditions from available sets of field and laboratory measurement is treated in detail. Distinction is made between biased and unbiased measurements as well as borehole and block data. Calibration of data sets provides the basic parameters describing the soil property and allows combining data sets from different field and laboratory tests. Once the spatial trend is fitted, residuals are then examined, taking anisotropy into account; their autocorrelation is established. These parameters then enable prediction of the means, variances, and covariances of the soil property at desired locations. Some applications of the analytical model are given in a joint paper, with respect to the St. Jean Vianney case study.
Subject Headings: Soil properties | Mapping | Model analysis | Parameters (statistics) | Field tests | Case studies | Boring | Calibration | Subsoils
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