The Influence of Ground-Motion Variability in Earthquake Loss Modelling

被引:0
|
作者
Julian J. Bommer
Helen Crowley
机构
[1] Imperial College London,Civil and Environmental Engineering
[2] ROSE School,undefined
来源
关键词
earthquake loss models; ground-motion variability; spatial correlation; spatial variability;
D O I
暂无
中图分类号
学科分类号
摘要
Earthquake loss models are subject to many large uncertainties associated with the input parameters that define the seismicity, the ground motion, the exposure and the vulnerability characteristics of the building stock. In order to obtain useful results from a loss model, it is necessary to correctly identify and characterise these uncertainties, incorporate them into the calculations, and then interpret the results taking account of the influence of the uncertainties. An important element of the uncertainty will always be the aleatory variability in the ground-motion prediction. Options for handling this variability include following the traditional approach used in site-specific probabilistic seismic hazard assessment or embedding the variability within the vulnerability calculations at each location. The physical interpretation of both of these approaches, when applied to many sites throughout an urban area to assess the overall effects of single or multiple earthquake events, casts doubts on their validity. The only approach that is consistent with the real nature of ground-motion variability is to model the shaking component of the loss model by triggering large numbers of earthquake scenarios that sample the magnitude and spatial distributions of the seismicity, and also the distribution of ground motions for each event as defined by the aleatory variability.
引用
收藏
页码:231 / 248
页数:17
相关论文
共 50 条
  • [31] A new model for the prediction of earthquake ground-motion duration in Iran
    Yaghmaei-Sabegh, Saman
    Shoghian, Zhila
    Sheikh, M. Neaz
    NATURAL HAZARDS, 2014, 70 (01) : 69 - 92
  • [32] A new model for the prediction of earthquake ground-motion duration in Iran
    Saman Yaghmaei-Sabegh
    Zhila Shoghian
    M. Neaz Sheikh
    Natural Hazards, 2014, 70 : 69 - 92
  • [33] Stochastic ground-motion simulations for the 2016 Kumamoto, Japan, earthquake
    Zhang, Long
    Chen, Guangqi
    Wu, Yanqiang
    Jiang, Han
    EARTH PLANETS AND SPACE, 2016, 68
  • [34] Influence of earthquake ground-motion duration on damage estimation: application to steel moment resisting frames
    Barbosa, Andre R.
    Ribeiro, Filipe L. A.
    Neves, Luis A. C.
    EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 2017, 46 (01): : 27 - 49
  • [35] Influence of ground-motion correlation on probabilistic assessments of seismic hazard and loss: sensitivity analysis
    Vladimir Sokolov
    Friedemann Wenzel
    Bulletin of Earthquake Engineering, 2011, 9
  • [36] Influence of ground-motion correlation on probabilistic assessments of seismic hazard and loss: sensitivity analysis
    Sokolov, Vladimir
    Wenzel, Friedemann
    BULLETIN OF EARTHQUAKE ENGINEERING, 2011, 9 (05) : 1339 - 1360
  • [37] Comparison of strong ground motion records from Ludian, China, earthquake with ground-motion attenuation models
    Zhang Bin
    Li XiaoJun
    Yu YanXiang
    Li Na
    Zhu Jun
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2020, 63 (08): : 2999 - 3014
  • [38] Earthquake ground-motion parameters at stiff sites in Addis Ababa, Ethiopia
    Yoseph, B.
    Ramana, G. V.
    INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING, 2008, 2 (01) : 45 - 58
  • [39] Nonlinear ground-motion amplification by sediments during the 1994 Northridge earthquake
    Field, EH
    Johnson, PA
    Beresnev, IA
    Zeng, YH
    NATURE, 1997, 390 (6660) : 599 - 602
  • [40] A Bayesian Updating Applied to Earthquake Ground-Motion Prediction Equations for Iran
    Shahidzadeh, Mohammad Sadegh
    Yazdani, Azad
    JOURNAL OF EARTHQUAKE ENGINEERING, 2017, 21 (02) : 290 - 324