Liquefaction Response of Partially Saturated Sands. II: Empirical Model
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 139, Issue 6
Abstract
Partial saturation in sands attributable to the presence of gas bubbles (not capillarity) can be encountered naturally in the field because of the decomposition of organic matter, or it can be induced for liquefaction mitigation. An empirical model (RuPSS) was developed to predict the excess pore pressure ratio () in partially saturated sands subjected to earthquake-induced shear strains. The model is based on experimental test results on partially saturated sands. Cyclic simple shear strain tests were performed on specimens prepared and tested in a special liquefaction box. Excess pore pressures were measured for a range of degrees of saturation , relative densities , and cyclic shear strains . The test results demonstrated that partially saturated sands achieved a maximum excess pore pressure ratio () when large enough cycles of shear strain were applied. The excess pore pressure ratio () that partially saturated sand can achieve under a given earthquake-induced peak shear strain and the number of equivalent cycles of application can be significantly smaller than . Therefore, the empirical model was developed in two stages. In the first stage, was related to , , and shear strain (). In the second stage, a model was developed relating to , shear strain amplitude (), effective stress (), and earthquake magnitude (). This paper presents the equations that define the predictive models for and . Through these equations, plots for and are provided for ranges of soil and earthquake parameters for ease of use in engineering applications. To illustrate the implementation of the empirical model for predicting and , an example is presented in which a partially saturated sand layer experiencing a peak earthquake-induced shear strain was analyzed, and the pore pressure response of the sand was evaluated using both the predictive equations and the plots.
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Acknowledgments
This research was funded by the National Science Foundation through the Geoenvironmental Engineering and Geohazard Mitigation Program under Grant No. CMS-0509894. The support of the NSF and Program Director Dr. Richard J. Fragaszy is greatly appreciated. The valuable comments and suggestions for improvement of the paper made by the reviewers are very much appreciated. The contribution to this research by former undergraduate civil engineering student Meredith Washington is acknowledged. Special appreciation is expressed to Dr. David Whelpley and Michael MacNeil for their valuable support of the laboratory experiments.
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© 2013 American Society of Civil Engineers.
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Received: Aug 19, 2011
Accepted: Aug 8, 2012
Published online: Aug 20, 2012
Published in print: Jun 1, 2013
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