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Toward a numerical-simulation-based liquefaction hazard assessment for urban regions using high-performance computing.

Authors :
Chen, Jian
O-tani, Hideyuki
Takeyama, Tomohide
Oishi, Satoru
Hori, Muneo
Source :
Engineering Geology. Aug2019, Vol. 258, pN.PAG-N.PAG. 1p.
Publication Year :
2019

Abstract

Effective and efficient liquefaction hazard assessment is critical in making disaster mitigation plans for urban regions. In this paper, we present a numerical-simulation (NS)-based method for assessing urban-wide liquefaction hazard. The method includes an automatic modelling for individual sites and an application of high-performance computing (HPC) for efficient assessment. The feasibility of the method is demonstrated by conducting simulations for more than 10,000 individual sites in an urban region. The urban-wide assessment results depend on a pressure threshold of liquefaction occurrence and the dependence increases as the ground motion increases. A comparison with a conventional method using engineering indices (EI) shows a tendency of the EI-based method to predict a considerably greater number of liquefied sites than the proposed method. With the continuing improvement on numerical simulations and on computer efficiency, NS-based assessments can be regarded as promising alternatives to conventional EI-based methods for urban-wide liquefaction assessment. • For assessing urban-wide liquefaction hazard, a method based on a numerical simulation enhanced with HPC is proposed. • More than 10,000 sites in an urban region were assessed for liquefaction hazard, by applying the proposed method. • The urban-wide assessment depends on a pressure threshold, and the dependence increases as the ground motion increases. • A conventional method using Factor of Safety determined a much greater number of liquefied sites than the proposed method. • The prediction from the conventional method may indicate its tendency of overestimation of the liquefaction occurrence. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00137952
Volume :
258
Database :
Academic Search Index
Journal :
Engineering Geology
Publication Type :
Academic Journal
Accession number :
138435719
Full Text :
https://doi.org/10.1016/j.enggeo.2019.105153