Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/11181
Title: A technique for developing probabilistic properties of earth material
Authors: Mississippi State University. Department of Civil and Environmental Engineering.
United States. Defense Nuclear Agency.
Cargile, James D.
Keywords: Clayey sand
Compressibility
Covariance analysis
Ground shock
Probabilistic properties
Rosenblueth's point estimate procedures
Shear strength
Statistical analysis
Soil mechanics
Publisher: Structures Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Technical report (U.S. Army Engineer Waterways Experiment Station) ; SL-88-25.
Description: Technical Report
Abstract: Ground shock calculation techniques currently used by analysts of explosive test events require deterministic input. In actuality, ground shock calculations should be treated probabilistically since the properties of earth materials and the characteristics of explosive blasts are dispersed random variables. A three-phase project is underway at the US Army Engineer Waterways Experiment Station to (A.) develop a procedure for providing probabilistic properties of earth materials, (B.) develop a probabilistic cap-type elastic-plastic constitutive model, and (C.) develop a probabilistic ground shock calculation computer code. This report documents phase (A.). Probabilistic properties of earth materials are developed for each layer of the subsurface profile at a given site. One-way analysis of variance tests conducted on mass-volume, index, and seismic velocity data determine the profile. Probabilistic mechanical properties are based on covariance analysis of laboratory test results, field experiments, and engineering knowledge. A procedure for extrapolating the variance of laboratory-based recommended probabilistic mechanical properties to higher stresses is presented. The analysis technique was applied to data obtained for two adjacent areas located near Yuma, Arizona. One-way analysis of variance of mass-volume data was very useful for developing the subsurface profile. Similar probabilistic responses were obtained by (A.) applying covariance analysis to mechanical property test data plotted in forms conducive to constitutive modeling and (B.) applying the Rosenblueth procedure to results from covariance analysis of plots of "measured data." The uniqueness of a soil specimen's response during a mechanical property test was maintained by plotting stresses and strains instead of loads and deflections. The effect of correlation coefficients in the Rosenblueth procedure was evaluated. Coefficients of variation for laboratory-based recommended mechanical properties were used to extrapolate variance to higher stresses since they maximized the variance about the extrapolated mean. The recommended probabilistic properties should be used in all possible combinations since the variance was not coupled. NOTE: This file is large. Allow your browser several minutes to download the file.
Rights: Approved for public release; distribution is unlimited.
URI: http://hdl.handle.net/11681/11181
Appears in Collections:Technical Report

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