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Numerical simulation of 3D liquefaction disasters using an automatic time stepping method

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Listed:
  • Xiwen Zhang
  • Xiaowei Tang
  • Ryosuke Uzuoka

Abstract

Three-dimensional numerical simulation of large model under seismic loading is a time-consuming process due to the huge number of degrees and the duration of time. With respect to the uniform time stepping method, an automatic time stepping strategy is proposed based on a finite element–finite difference coupled scheme and an effective mixed error estimation of the solid–fluid mixture. Two seismic liquefaction examples are conducted, one is a three-dimensional embankment located in liquefied area, and the other is a three-dimensional caisson wharf subjected to the seismic load. The results show that the liquefaction induces large displacement to the embankment and caisson wharf; the proposed automatic time stepping method can save 17–24 % computational time than the uniform time stepping method at the premises of similar accuracy. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Xiwen Zhang & Xiaowei Tang & Ryosuke Uzuoka, 2015. "Numerical simulation of 3D liquefaction disasters using an automatic time stepping method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1275-1287, June.
    • Handle: RePEc:spr:nathaz:v:77:y:2015:i:2:p:1275-1287
    DOI: 10.1007/s11069-015-1651-8
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    References listed on IDEAS

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    1. Yu Huang & Miao Yu, 2013. "Review of soil liquefaction characteristics during major earthquakes of the twenty-first century," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 2375-2384, February.
    2. Ming-Wu Wang & Peng Xu & Jian Li & Kui-Yuan Zhao, 2014. "A novel set pair analysis method based on variable weights for liquefaction evaluation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1527-1534, January.
    3. Xinhua Xue & Xingguo Yang, 2013. "Application of the adaptive neuro-fuzzy inference system for prediction of soil liquefaction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 901-917, June.
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