Regression Models For Evaluating Liquefaction Probability
Publication: Journal of Geotechnical Engineering
Volume 114, Issue 4
Abstract
Statistical models are developed to express the probability of liquefaction as a function of earthquake load and soil resistance parameters. Results are obtained based on a catalog compiled for this study, which consists of 278 cases of liquefaction/nonliquefaction occurrences. A method of binary regression is used to derive four models recommended for use in assessment of liquefaction probability. Two of them use the cyclic stress ratio (Seed and Idriss 1971) as the earthquake load parameter; the other two use, as load parameters, explicit functions of earthquake magnitude and distance, similar to the function proposed by Davis and Berrill (1981). All four models measure liquefaction resistance through the corrected/normalized SPT value. Recommendations for practical implementation are provided, and comparisons are made with other methods of liquefaction analysis.
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Published In
Journal of Geotechnical Engineering
Volume 114 • Issue 4 • April 1988
Pages: 389 - 411
Copyright
Copyright © 1988 ASCE.
History
Published online: Apr 1, 1988
Published in print: Apr 1988
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