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Erschienen in: Bulletin of Engineering Geology and the Environment 3/2016

01.08.2016 | Original Paper

Predicting liquefaction probability based on shear wave velocity: an update

verfasst von: Mengfen Shen, Qiushi Chen, Jie Zhang, Wenping Gong, C. Hsein Juang

Erschienen in: Bulletin of Engineering Geology and the Environment | Ausgabe 3/2016

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Abstract

The simplified methods based on the cone penetration test (CPT), standard penetration test (SPT), and shear wave velocity (V s ) test are prevalent in liquefaction potential evaluation. In this study, new case histories with the shear wave velocity measurements and the liquefaction phenomenon observations are compiled from the 22 February 2011 Canterbury earthquakes in New Zealand. The new case histories are combined with the existing V s database for assessing and updating probabilistic models. The widely used logistic regression models, as well as other probabilistic models, are examined in the framework of generalized linear models (GLMs). To this end, the maximum likelihood estimation (MLE) principle is used to determine the model parameters. Then, the developed generalized linear models are ranked using three model assessment criteria. Based on the assessment criteria adopted, the log–log and logistic models are recommended for both the existing and the combined database. The updated log–log model and logistic model are recommended for shear wave velocity based liquefaction potential evaluation.

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Metadaten
Titel
Predicting liquefaction probability based on shear wave velocity: an update
verfasst von
Mengfen Shen
Qiushi Chen
Jie Zhang
Wenping Gong
C. Hsein Juang
Publikationsdatum
01.08.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Bulletin of Engineering Geology and the Environment / Ausgabe 3/2016
Print ISSN: 1435-9529
Elektronische ISSN: 1435-9537
DOI
https://doi.org/10.1007/s10064-016-0880-8

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