A probabilistic framework for hurricane damage assessment considering non-stationarity and correlation in hurricane actions

Quanwang Li, Cao Wang, Hao Zhang

Research output: Contribution to journalArticleResearchpeer-review

58 Citations (Scopus)

Abstract

The intensity and/or frequency of hurricane storms may change due to the impact of potential climate change. This paper presents a probabilistic framework to assess the hurricane damage to residential constructions considering the non-stationarity and correlation in hurricane actions. The framework includes a non-stationary Poisson process of hurricane occurrence, a failure rate function of hurricane damage, and explicit formulas for evaluating the mean and variance of annual hurricane damage. The framework is illustrated using a case study of Miami-Dade County, Florida, where the current probabilistic models of hurricane intensity and occurrence rate were estimated by examining hurricane history in this area. The impacts of time-variant hurricane intensity and time-variant hurricane frequency on building damage are assessed individually using the developed framework. The paper also investigates the effects of correlation in hurricane wind speeds on hurricane damage.

Original languageEnglish
Pages (from-to)108-117
Number of pages10
JournalStructural Safety
Volume59
DOIs
Publication statusPublished - Mar 2016
Externally publishedYes

Keywords

  • Climate change
  • Correlation in wind speeds
  • Damage assessment
  • Hurricane
  • Structural reliability
  • Time-variant frequency
  • Time-variant intensity

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