Regional Liquefaction Mapping Accounting for Multiscale Spatial Variability of Soil Parameters with Geological Constraints

Chaofeng Wang, Qiushi Chen, C. Hsein Juang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper aims at introducing a framework for estimating regional liquefaction hazard considering the spatial variability of soil properties and geological constraints. Firstly, the ground-truth liquefaction potential index (LPI) at in-situ testing locations is calculated. Then, fake LPI values are randomly sampled according to their distributions within different surficial geological units. Both ground-truth and fake LPI values are then treated as known data and fed into a novel multiscale random field model, which can generate LPI values at places where in-situ testing is not performed. The developed framework is able to make predictions of liquefaction potential within a large region. The multiscale random field model is advanced because it can refine the prediction into finer resolutions. Another advantage of the developed framework is that the geological constrains is easy to apply to the random field model so that the predictions could be corrected by geology conditions of the studied area. An example application is performed to estimate the liquefaction potential in an earthquake prone region in the Alameda County of California. It is found that the developed framework is able to capture the fragile portions of the studied region without significant contradictions to the geological constraints.

Original languageEnglish
Title of host publicationGeotechnical Special Publication
EditorsJinsong Huang, Gordon A. Fenton, Limin Zhang, D. V. Griffiths
PublisherAmerican Society of Civil Engineers (ASCE)
Pages43-53
Number of pages11
EditionGSP 283
ISBN (Electronic)9780784480700
DOIs
StatePublished - 2017
EventGeo-Risk 2017: Reliability-Based Design and Code Developments - Denver, United States
Duration: 4 Jun 20177 Jun 2017

Publication series

NameGeotechnical Special Publication
NumberGSP 283
Volume0
ISSN (Print)0895-0563

Conference

ConferenceGeo-Risk 2017: Reliability-Based Design and Code Developments
Country/TerritoryUnited States
CityDenver
Period4/06/177/06/17

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