Simplified Procedure for Developing Joint Distribution of and for Probabilistic Liquefaction Hazard Analysis
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 134, Issue 8
Abstract
This paper presents an innovative approach for a probabilistic analysis of liquefaction hazard at a given site in a specified exposure time based on the U.S. Geological Survey (USGS) National Seismic Hazard Maps data. The foundation of this new approach is a simplified procedure for obtaining a joint distribution of peak ground surface acceleration and moment magnitude of earthquake at any given locality in the United States based on the USGS website data. The developed joint probability distribution of and can be readily combined with the conditional probability of liquefaction (given a pair of and ) to obtain the total probability of liquefaction at a given site in a specified exposure time. Detailed formulation of the new approach is presented and demonstrated with examples.
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Acknowledgments
This paper is based upon work supported by the National Science Foundation under Grant No. CMS-0218365. This financial support is greatly appreciated. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the writers and do not necessarily reflect the views of the National Science Foundation. Dr. Chris Cramer of University of Memphis is thanked for his thorough review of the initial draft of the paper. Professor Wilson Tang of Hong Kong University of Science and Technology, Dr. Jianye Ching of National Taiwan University of Science and Technology, and Dr. Bryant Nielson of Clemson University are thanked for their thorough review of the formulation of the proposed model. Mr. Jesse Chen of Clemson University is thanked for conducting part of the analysis presented in this paper. Last but not the least, the anonymous journal reviewers are thanked for their thorough reviews and constructive comments that help shape this paper. The writers are, however, solely responsible for the contents of this paper.
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© 2008 ASCE.
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Received: Oct 31, 2006
Accepted: Dec 7, 2007
Published online: Aug 1, 2008
Published in print: Aug 2008
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