Multilinear Regression Equations for Predicting Lateral Spread Displacement from Soil Type and Cone Penetration Test Data
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 140, Issue 4
Abstract
In the 1990s, Bartlett and Youd introduced empirical equations for predicting horizontal displacement from liquefaction-induced lateral spreading; these equations have become popular in engineering practice. The equations were developed by multilinear regression (MLR) of lateral spreading case history data compiled by these researchers. In 2002, these equations were revised and updated to include additional case history data. The regressions indicated that the amount of horizontal displacement is statistically related to the topography, earthquake magnitude, and distance from the seismic energy source. It is also related to the thickness, fines content, and mean grain size of the saturated, granular sediments with corrected standard penetration test blow count values less than 15. This paper proposes to modify the MLR empirical equations by replacing the fines content and mean grain size factors with soil description factors. Such modification allows investigators performing preliminary evaluations to make lateral spread displacement estimates using existing geotechnical data with sparse laboratory measurements. The paper also proposes a methodology to estimate the required geotechnical inputs in the proposed modified MLR equations using cone penetration test data.
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Published In
Journal of Geotechnical and Geoenvironmental Engineering
Volume 140 • Issue 4 • April 2014
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Jan 18, 2013
Accepted: Oct 7, 2013
Published online: Dec 5, 2013
Published in print: Apr 1, 2014
Discussion open until: May 5, 2014
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