中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (8): 1-6.doi: 10.16265/j.cnki.issn1003-3033.2017.08.001

• 安全科学技术基础学科 •    下一篇

基于PTVA模型的房屋多灾种耦合物理脆弱性评估

卢颖1 讲师, 王洁鑫1, 姜学鹏**1 副教授, 赵云胜2 教授   

  1. 1 武汉科技大学 资源与环境工程学院,湖北 武汉 430081;
    2 中国地质大学(武汉) 工程学院,湖北 武汉 430084
  • 收稿日期:2017-05-13 修回日期:2017-07-23 出版日期:2017-08-20 发布日期:2020-10-13
  • 通讯作者: **姜学鹏(1976—),男,山东青岛人,博士,教授,从事城市消防安全、地下空间火灾动力学研究。E-mail:jxp5276@126.com。
  • 作者简介:卢颖(1986—),女,湖北钟祥人,博士,讲师,主要从事城市公共安全风险理论与控制技术、地下空间火灾动力学等方面的研究。E-mail:luying@wust.edu.cn。
  • 基金资助:
    国土资源部公益性行业科研专项(201211039);公安部消防局科研计划项目(2016XFCX20);湖北省自然科学基金资助(2015CFB200);武汉科技大学青年科技骨干培育计划项目(2017XZ014)。

Assessment of physical vulnerability of building to coupled multi-hazard based on PTVA model

LU Ying1, WANG Jiexin1, JIANG Xuepeng1, ZHAO Yunsheng2   

  1. 1 School of Resource & Environmental Engineering, Wuhan University of Science and Technology, Wuhan Hubei 430081, China;
    2 School of Engineering, China University of Geosciences (Wuhan), Wuhan Hubei 430084, China
  • Received:2017-05-13 Revised:2017-07-23 Online:2017-08-20 Published:2020-10-13

摘要: 为解决因诸灾害间相互作用导致房屋多灾种脆弱性评估较难实现的问题,提出一种基于修正的Papathoma海啸脆弱性评估(PTVA)模型的多灾种耦合物理脆弱性评估方法。首先根据不同灾种影响下承灾体脆弱性指标的差异性,构建指标体系;然后运用修正的PTVA模型,计算单灾种初始脆弱性指数和耦合后的脆弱性指数,经综合计算后,得到2个综合脆弱性指数;最后以福建某市典型区域为例进行实证分析。研究表明:该方法在多灾种耦合物理脆弱性评估中具有可行性,提高了评估的准确性。

关键词: 多灾种, Papathoma海啸脆弱性评估(PTVA)模型, 物理脆弱性, 耦合效应, 房屋脆弱性

Abstract: A method was developed for assessing physical vulnerability of building to coupled multi-hazard based on modified PTVA model. According to differences between vulnerability indicators under different disaster conditions, a multi-hazard physical vulnerability assessment index system was established. Initial single hazard vulnerability indexed and coupling hazard vulnerability indexed were obtained by using the modified multi-hazard PTVA model. Then two comprehensive physical vulnerability indices of the initial and the coupling were calculated respectively. The method was used in a typical area in Fujian Province. The application results show that this method can reflect the similarity and difference between physical vulnerabilities of different buildings to different coupling effects, and can improve the accuracy of multi-hazard physical vulnerability assessment.

Key words: multi-hazard, Papathoma tsunami vulnerability assessment(PTVA)model, physical vulnerability, coupling effect, vulnerability of building

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