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author:

Wu, Min-Hao (Wu, Min-Hao.) [1] | Wang, Jui-Pin (Wang, Jui-Pin.) [2] | Wu, Yi-Jie (Wu, Yi-Jie.) [3] | Chen, Zhibo (Chen, Zhibo.) [4] (Scholars:陈志波)

Indexed by:

EI Scopus

Abstract:

Liquefaction potential index (LPI) is commonly used for liquefaction risk assessment. Although several LPI classifications have been proposed, those classifications are categorical and descriptive, which are not useful for quantitative risk assessments (risk = probability x consequence). In this study, a total of 135 soil liquefaction data points from Taiwan, Turkey, and Italy were collected and used for developing a new empirical relationship between LPI and liquefaction probability with logistic regression. In addition, we conducted 10 additional sensitivity analyses to evaluate the possible impact of random data arrangement on this study, showing that the impact was very insignificant given the similar results obtained from the analyses. © Taiwan Geotechnical Society.

Keyword:

Logistic regression Risk assessment Sensitivity analysis Soil liquefaction

Community:

  • [ 1 ] [Wu, Min-Hao]Department of Civil and Environmental Engineering, National University of Kaohsiung, Taiwan
  • [ 2 ] [Wang, Jui-Pin]Department of Civil Engineering, Associate Director of Research Center for Hazard Mitigation and Prevention, National Central University, Taiwan
  • [ 3 ] [Wu, Yi-Jie]Department of Civil Engineering, National Central University, Taiwan
  • [ 4 ] [Chen, Zhibo]Department of Geotechnical and Geological Engineering, Fuzhou University, Fujian, China

Reprint 's Address:

  • [wang, jui-pin]department of civil engineering, associate director of research center for hazard mitigation and prevention, national central university, taiwan

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Source :

Journal of GeoEngineering

ISSN: 1990-8326

Year: 2020

Issue: 3

Volume: 15

Page: 135-144

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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