Monte Carlo seismic response analysis of permafrost sites: a case study

被引:1
|
作者
Yu, Xiaobo [1 ,2 ,3 ]
Zhang, Rui [1 ]
Cheng, Yushun [1 ]
Hu, Yuting [1 ]
机构
[1] Guilin Univ Technol, Coll Civil & Architecture Engn, Guilin 541004, Peoples R China
[2] Guilin Univ Technol, Guangxi Key Lab Geomech & Geotech Engn, Guilin 541004, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Civil Engn & Mech, Wuhan 430074, Peoples R China
基金
中国博士后科学基金;
关键词
Frozen ground; Monte Carlo method; Response spectrum; Chinese seismic code; NEHRP provisions; STOCHASTIC-ANALYSIS; GROUND RESPONSE; MOTION; CLASSIFICATION; MODULUS; SPECTRA; HAZARD;
D O I
10.1007/s11069-022-05298-8
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The horizontal seismic responses in cold regions have not received adequate attentions. In seismic design for frozen ground, computations for unfrozen ground are generally adopted directly. This study uses the Monte Carlo method to verify the applicability of traditional seismic computations in cold regions. Xidatan valley, Kekexili mountain, Chumaerhe plain, and Beiluhe basin along the Qinghai-Tibet railway are selected as the study regions; a series of random soil profiles are generated. Equivalent linear analysis results show that the current Chinese code provides mismatched spectral site amplification estimations at rare seismic intensity level. These estimations can practically be updated by increasing the current seismic motion parameters along the Qinghai-Tibet railway or by amplifying the existing design spectrum with a coefficient. The melting of permafrost layer would increase spectral peak; 70% of the original thickness would result in spectral peak amplification of 120%. Ground temperature model and permafrost dynamic nonlinear performance should be further explored.
引用
收藏
页码:237 / 259
页数:23
相关论文
共 50 条
  • [41] Taxometric analysis of fuzzy categories: A Monte Carlo study
    Haslam, N
    Cleland, C
    PSYCHOLOGICAL REPORTS, 2002, 90 (02) : 401 - 404
  • [42] Diffusion Monte Carlo method:: Numerical analysis in a simple case
    El Makrini, Mohamed
    Jourdain, Benjamin
    Lelievre, Tony
    ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE, 2007, 41 (02): : 189 - 213
  • [43] Case study on seismic tunnel response
    Kontoe, Stavroula
    Zdravkovic, Lidija
    Potts, David M.
    Menkiti, Christopher O.
    CANADIAN GEOTECHNICAL JOURNAL, 2008, 45 (12) : 1743 - 1764
  • [44] Seismic risk assessment for structures with the Monte Carlo simulation
    Bolotin, V.V.
    Probabilistic Engineering Mechanics, 1993, 8 (3-4) : 169 - 177
  • [45] Markov chain Monte Carlo for seismic facies classification
    Grana, Dario
    de Figueiredo, Leandro
    Mosegaard, Klaus
    GEOPHYSICS, 2023, 88 (03) : M131 - M143
  • [46] A CASE STUDY ON THE NORMALITY OF MONTE-CARLO SIMULATION RESULTS
    Tsembelis, Konstantinos
    Eom, Seyun
    Christodoulou, Nicholas
    Pandey, Mahesh
    Jin, John
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE, 2016, VOL 1B, 2017,
  • [47] MULTIPLE MONTE CARLO SIMULATIONS CASE STUDY OF CROATIAN COUNTIES
    Jurun, Elza
    Pivac, Snjezana
    PROCEEDINGS OF THE 10TH INTERNATIONAL SYMPOSIUM ON OPERATIONAL RESEARCH SOR 09, 2009, : 507 - 516
  • [48] Parallelization of a Monte Carlo simulation of a spins system:: A case study
    Couturier, R
    Méry, D
    INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS I-IV, PROCEEDINGS, 1998, : 1533 - 1537
  • [49] MONTE CARLO AND LATIN HYPERCUBE METHODS THROUGH A CASE STUDY
    Mziou, Samy
    EUROPEAN SIMULATION AND MODELLING CONFERENCE 2009, 2009, : 70 - 74
  • [50] MCPSHA: A New Tool for Probabilistic Seismic Hazard Analysis Based on Monte Carlo Simulation
    Shao, Xiaoyi
    Wang, Xiaoqing
    Xu, Chong
    Ma, Siyuan
    APPLIED SCIENCES-BASEL, 2024, 14 (03):