Chapter
Jun 7, 2018
Geotechnical Earthquake Engineering and Soil Dynamics V

Predicting Soil Liquefaction Lateral Spreading: The Missing Time Dimension

Publication: Geotechnical Earthquake Engineering and Soil Dynamics V: Liquefaction Triggering, Consequences, and Mitigation (GSP 290)

ABSTRACT

The most popular procedure for evaluating liquefaction potential is heavily based on peak ground acceleration (PGA). Not only is it an inadequate representation of such a complex phenomenon, but also limited to a binary classification (liquefaction or no liquefaction) without providing associated information on the damage caused by liquefaction. This paper presents an experimental study on identifying an optimum parameter that can potentially predict lateral spreading during a liquefaction event. To identify this optimal parameter, the missing dimension of time is brought into consideration with the use of evolutionary ground motion intensity measures (IMs). It is essential to identify the time that liquefaction is initiated within a given ground motion to accurately predict the lateral displacement because the damage predominantly occurs after liquefaction initiation. The experimental program using cyclic simple shear tests evaluate the responses of sands subjected to undrained transient loadings with a wide range of spectral and temporal characteristics. Out of the four IMs considered in this study, the post-initiation cumulative absolute velocity (CAV5) is identified as the most efficient IM for predicting liquefaction induced displacements.

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ACKNOWLEDGEMENT

This work was supported by the National Science Foundation, NEES Research program, under Grant No. 0936408, and the Department of Civil, Architectural and Environmental Engineering at The University of Texas at Austin. This support is gratefully acknowledged.

REFERENCES

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Go to Geotechnical Earthquake Engineering and Soil Dynamics V
Geotechnical Earthquake Engineering and Soil Dynamics V: Liquefaction Triggering, Consequences, and Mitigation (GSP 290)
Pages: 450 - 462
Editors: Scott J. Brandenberg, Ph.D., University of California, Los Angeles, and Majid T. Manzari, Ph.D., George Washington University
ISBN (Online): 978-0-7844-8145-5

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Published online: Jun 7, 2018

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Wing Shun Kwan, Ph.D., M.ASCE [email protected]
P.E.
Dept. of Civil Engineering, California State Univ., 5151 State Univ. Dr., Los Angeles, CA 90032. E-mail: [email protected]
Sam S. Sideras [email protected]
Shannon & Wilson, Inc., 400 N. 34th St., Suite 100, Seattle, WA 98103. E-mail: [email protected]
Chadi El Mohtar, Ph.D., A.M.ASCE [email protected]
Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 1 Univ. Station, C1792, Austin, TX 78712. E-mail: [email protected]

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