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Author:

Jia, Kemin (Jia, Kemin.) | Xu, Chengshun (Xu, Chengshun.) (Scholars:许成顺) | Dou, Pengfei (Dou, Pengfei.) | Song, Jia (Song, Jia.)

Indexed by:

CPCI-S EI Scopus

Abstract:

Based on the completed large-scale shaking table test of liquefaction free field, the OpenSees computational platform was used to establish a numerical model of liquefiable free-field shaking table test in this study. In the numerical modeling, simulation of soil displacement and pore pressure using two-phase fully coupled u-p form. The comparison of shaking table test results shows that the established numerical model can reasonably simulate the seismic response of liquefiable soils, and further verify the reliability of the numerical model. At the same time, the distribution characteristics of soil excess pore water pressure at the critical moment were analyzed. This paper provides an effective numerical method for dynamic response analysis of liquefied soil. © Published under licence by IOP Publishing Ltd.

Keyword:

Dynamic response Soil liquefaction Pore pressure Soils Numerical methods Numerical models

Author Community:

  • [ 1 ] [Jia, Kemin]Key Lab. of Urban Secty. and Disaster Eng. of Min. of Education (Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Xu, Chengshun]Key Lab. of Urban Secty. and Disaster Eng. of Min. of Education (Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Dou, Pengfei]Key Lab. of Urban Secty. and Disaster Eng. of Min. of Education (Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Song, Jia]School of Civil Engineering (North China University of Technology), Beijing; 100144, China

Reprint Author's Address:

  • 许成顺

    [xu, chengshun]key lab. of urban secty. and disaster eng. of min. of education (beijing university of technology, beijing; 100124, china

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Source :

ISSN: 1755-1307

Year: 2020

Issue: 5

Volume: 510

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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