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Author:

Luo, Chengrui (Luo, Chengrui.) | Peng, Yongbo (Peng, Yongbo.)

Indexed by:

EI Scopus SCIE

Abstract:

In the seismic reliability analysis of engineering structures, it is often necessary to adopt stochastic ground motions as inputs. However, the current methods used to generate stochastic samples, such as the spectral representation method, the spectral transfer method, the dynamic source method, the physical source method, and the comprehensive method, etc., are not very convincing since they do not contain the complete information of seismic occurrence and propagation. In this study, an improved finite-fault model for stochastic simulation of ground motions is proposed. Compared to existing stochastic finite-fault model, the improved model considers the propagation law of phase spectrum, local site effect, and the impact of wave velocity on the arrival time of seismic waves. Besides, identification and statistics of model parameters are carried out based on ground motion records. Reasonable samples of stochastic ground motions are then obtained. In addition, parameter sensitivity analysis is conducted to determine critical random variables, which reduces the complexity of stochastic simulation. Simulation results are compared with recorded accelerograms from the 1999 Chi-Chi earthquake. It is shown that the improved stochastic finite-fault model is reliable, and the acceleration response spectra of simulated samples are consistent with those of station records collected at various site classes and the design spectra. © 2023 Elsevier Ltd

Keyword:

Wave propagation Faulting Sensitivity analysis Earthquakes Reliability analysis Stochastic models Stochastic systems

Author Community:

  • [ 1 ] [Luo, Chengrui]State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai; 200092, China
  • [ 2 ] [Luo, Chengrui]College of Civil Engineering, Tongji University, Shanghai; 200092, China
  • [ 3 ] [Peng, Yongbo]State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai; 200092, China
  • [ 4 ] [Peng, Yongbo]Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai; 200092, China
  • [ 5 ] [Peng, Yongbo]The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing; 100124, China

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Source :

Soil Dynamics and Earthquake Engineering

ISSN: 0267-7261

Year: 2024

Volume: 176

4 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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