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Author:

Zhang, W. (Zhang, W..) | Sun, R. (Sun, R..) | Ni, P. (Ni, P..) | Zhao, M. (Zhao, M..) | El, Naggar, M.H. (El, Naggar, M.H..) | Du, X. (Du, X..)

Indexed by:

EI Scopus SCIE

Abstract:

The seismic performance of underground structures is strongly influenced by the characteristics of both the surrounding soil and the earthquake. In contrast to traditional deterministic analysis methods, this study uses a stochastic analysis approach to investigate the effect of uncertainties in nonlinear soil characteristics, shear wave velocity, density, and earthquake randomness on the response of underground stations. The equivalent linearization method is employed to approximate the nonlinear behavior of the soil. The soil was modeled using a linear elastic constitutive model combined with Rayleigh damping in the finite element model. Inter-story displacements are used to determine structural damage. Probabilistic analysis methods are used to obtain their statistical characteristics, and the probability of failure is calculated. The results show that, according to single parameter analysis, random ground motion results in the greatest probability of exceeding the threshold (PET), while ground shear wave velocity significantly affects the coefficient of variation (COV), and the effect of density is the smallest. The study also found that when soil nonlinearity, shear wave velocity, and random ground motion are considered simultaneously, the range, mean, standard deviation, and COV of interstory displacement all increase significantly, but the PET slightly decreases. In summary, the analysis results indicate that random ground motion has the greatest impact on interstory displacement, followed by shear wave velocity, with nonlinear soil characteristics having a smaller effect, and density the least. Therefore, the impact of various uncertainties should be fully considered in the analysis of underground structures, especially random ground motion and shear wave velocity. © 2024 Elsevier Ltd

Keyword:

Underground structures Probabilistic analysis Random ground motion Density Shear wave velocity Nonlinear soil characteristics

Author Community:

  • [ 1 ] [Zhang W.]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhang W.]Department of Civil and Environmental Engineering, Western University, Canada
  • [ 3 ] [Sun R.]Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai, 200092, China
  • [ 4 ] [Ni P.]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhao M.]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, China
  • [ 6 ] [El Naggar M.H.]Department of Civil and Environmental Engineering, Western University, Canada
  • [ 7 ] [Du X.]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, China

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Source :

Soil Dynamics and Earthquake Engineering

ISSN: 0267-7261

Year: 2025

Volume: 188

4 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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