Non-parametric probabilistic seismic capacity model for the stochastic interaction system of soil-subway station structures

Minze Xu , Chunyi Cui , Hailong Liu , Jingbo Li , Jingtong Zhao , Chengshun Xu

Underground Space ›› 2025, Vol. 24 ›› Issue (5) : 79 -103.

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Underground Space ›› 2025, Vol. 24 ›› Issue (5) : 79 -103. DOI: 10.1016/j.undsp.2025.03.003
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Non-parametric probabilistic seismic capacity model for the stochastic interaction system of soil-subway station structures

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Abstract

A reasonable seismic capacity model is crucial for establishing the seismic performance level system and evaluating the seismic reliability of subway station structures. However, the deterministic structural and geotechnical mechanical parameters are usually applied to calibrate the seismic performance levels of subway station structures in the traditional seismic capacity analysis, which ignores the stochasticity of the soil-subway station interaction system. To overcome the challenge caused by the stochastic interaction system, the probability space partition method and stochastic pushover analysis method are combined to develop a calibration strategy of seismic performance levels considering the complete probabilistic information of the stochastic interaction system, and the non-parametric probabilistic seismic capacity models of the subway station structure are further established based on the principle of probability conservation in this paper. A subway station is also taken as the prototype to investigate the applicability of the proposed strategy and the influence of system randomness on the seismic capacity of the subway station structure. The results demonstrate that the seismic performance levels calibrated according to the proposed strategy can effectively consider the complete probabilistic information of the interaction system, which are more rigorous than the existing performance levels. Meanwhile, the probability density evolution of the bearing capacity of the subway station structure is essentially a non-stationary stochastic process, and the non-parametric probability density curves of seismic capacity display noticeable multi-peak characteristic. Moreover, the seismic capacity for LP1 and LP2 levels is more sensitive to the variability of geotechnical parameters above and below the structure, while the former for LP3 and LP4 levels is more sensitive to that on both sides of the structure. The relevant conclusions can provide some guidance for seismic design and improvement of the performance limits of underground structures in the related codes.

Keywords

Subway station structure / Seismic performance level / Seismic capacity / Stochastic interaction system / Principle of probability conservation

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Minze Xu, Chunyi Cui, Hailong Liu, Jingbo Li, Jingtong Zhao, Chengshun Xu. Non-parametric probabilistic seismic capacity model for the stochastic interaction system of soil-subway station structures. Underground Space, 2025, 24(5): 79-103 DOI:10.1016/j.undsp.2025.03.003

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

CRediT authorship contribution statement

Minze Xu: Writing - original draft, Software, Conceptualization, Methodology, Validation, Investigation. Chunyi Cui: Writing - review & editing, Project administration, Resources, Supervision, Funding acquisition. Hailong Liu: Investigation, Supervision. Jingbo Li: Software, Investigation. Jingtong Zhao: Validation, Investigation. Chengshun Xu: Data curation, Methodology.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgment

The authors gratefully acknowledge the funding supports from the National Natural Science Foundation of China (Grant Nos. 52178315 and 51578100), the Fundamental Research Funds for the Central Universities (Grant No. 3132023504), the Dalian Science and Technology Innovation Fund (Grant No. 2022JJ12GX031), and the Project of Shenyang Key Laboratory of Safety Evaluation and Disaster Prevention of Engineering Structures (Grant No. S230184).

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