Three-Dimensional Numerical Investigation on Seismic Response of Subway Station in Liquefied Soil by the Loosely Coupled Effective Stress Model

ABSTRACT

Three-dimensional numerical simulation for clarifying the seismic response characteristics of an underground structure considering the influences of dynamic interaction with the surrounding liquefied soil is still a huge challenge. Using the proposed generic loosely coupled nonlinear effective stress method for site response of liquefiable soil, the authors developed an effective stress seismic response analysis of the underground subway station structure. Based on the effective stress method, the responses of the model underground subway station with three floors and three spans in model liquefiable foundation in the shaking table test are simulated. The comparison between the measured and simulated results proves that the developed method can effectively capture the response characteristics of the liquefiable foundation，by which the generation of residual excess pore water pressure and the effect of cyclic stiffness softening and degradation can be taken into good consideration, and the measured responses of model underground structure can be well reproduced. The results also demonstrate the availability of the shaking table test simulating the dynamic interaction between the underground structure and the surrounding liquefied soil.

KEYWORDS:

• Underground structure
• soil liquefaction
• effective stress method
• shaking table test
• finite element modelling

Acknowledgements

The authors are grateful for the research funding provided by the National Natural Science Foundation of China (NSFC, Grant Nos. 51978333). All statements, results, and conclusions are those of the researchers and do not necessarily reflect the views of these foundations. The authors also sincerely thank the anonymous reviewers for their insightful comments and suggestions. Meanwhile, we are grateful to the High Performance Computing Centre of Nanjing Tech University for supporting the computational resources.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work was supported by the National Natural Science Foundation of China [51978333,51978334]; National Key R&D Project of China [2018YFC1504301, 2017YFC1500403].