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作者:

Wang, Fei (Wang, Fei.) | Su, Jingyu (Su, Jingyu.) (学者:苏经宇) | Wang, Wei (Wang, Wei.) (学者:王伟)

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EI Scopus

摘要:

The post earthquake collapse is one of the important causes of the mountain town houses damaged and traffic congestion, it has important significance to carry on the scientific and reasonable assessment to take preventive measures accordingly. Aiming at the complexity of post earthquake collapse formation mechanism and the uncertainty of evaluation index, according to evidence theory and fuzzy set theory, a risk assessment method of collapse disaster can be taken into account interaction of multiple indicator has been proposed. In this method, the element of evidence space is firstly considered as fuzzy sets. Through the fuzzy probability to describe expert advice, which has combined with expert advice to get fuzzy sets to determine the probability distribution function. Then by the synthesis rules of evidence theory function, the trust degree function of post earthquake collapse risk can be obtained, thus the collation based on the risk levels of classification has been established. Finally, examples were provided to validate and prove its scientific and reasonable, which has provide a new way for post earthquake collapse risk evaluation. © 2015 ejge.

关键词:

Distribution functions Earthquakes Function evaluation Fuzzy sets Fuzzy set theory Geophysics Probability distributions Risk assessment Risks Traffic congestion

作者机构:

  • [ 1 ] [Wang, Fei]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing, China
  • [ 2 ] [Su, Jingyu]College of Architecture and Urban Planning, Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing, China
  • [ 3 ] [Wang, Wei]College of Architecture and Urban Planning, Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing, China

通讯作者信息:

  • [wang, fei]institute of earthquake resistance and disaster reduction, beijing university of technology, beijing, china

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来源 :

Electronic Journal of Geotechnical Engineering

年份: 2014

期: Z4

卷: 19

页码: 16805-16814

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