Multivariate Coastal and Off-Shore Design and Risk Assessment via Copulas at the Arabian Gulf

G. Salvadori, G. R. Tomasicchio, F. D'Alessandro, E. Musci, W. El-Shorbagy, A. El-Hakeem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A frequent statistical problem in many coastal and off-shore engineering situations is to estimate the probability of structural failure expressed in terms of return period and design quantile. Usually, an univariate approach is carried out to quantify the risk of failure. However, coastal and off-shore structures typically fail because of the occurrence of a critical combination of the variables at play in a single sea storm: Thus, it may be important to consider the joint occurrence of dangerous conditions. The present paper provides a sensible multivariate analysis of the available wave data at the Arabian Gulf, including a randomization procedure to cope with repeated observations. In addition, suitable strategies for performing multivariate design are presented and discussed.

Original languageEnglish
Title of host publicationCoastal Structures and Solutions to Coastal Disasters 2015
Subtitle of host publicationResilient Coastal Communities - Proceedings of the Coastal Structures and Solutions to Coastal Disasters Joint Conference 2015
EditorsLouise Wallendorf, Daniel T. Cox
PublisherAmerican Society of Civil Engineers (ASCE)
Pages275-284
Number of pages10
ISBN (Electronic)9780784480304
DOIs
Publication statusPublished - 2015
EventCoastal Structures and Solutions to Coastal Disasters Joint Conference 2015 - Boston, United States
Duration: Sept 9 2015Sept 11 2015

Publication series

NameCoastal Structures and Solutions to Coastal Disasters 2015: Resilient Coastal Communities - Proceedings of the Coastal Structures and Solutions to Coastal Disasters Joint Conference 2015

Other

OtherCoastal Structures and Solutions to Coastal Disasters Joint Conference 2015
Country/TerritoryUnited States
CityBoston
Period9/9/159/11/15

ASJC Scopus subject areas

  • Atmospheric Science
  • Economic Geology
  • Computers in Earth Sciences

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