Probabilistic estimation of extreme wind loads on low-rise structures

S. Ben Ayed, M. R. Hajj, S. A. Ragab, H. W. Tieleman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A probabilistic analysis is applied on full scale data and numerical simulations to characterize extreme values of pressure coefficients on low-rise structures. The full scale data analyzed here, provided by the Florida Coastal Monitoring Program, are obtained from measurements made on the roof of a house in Florida during Hurricane Ivan in 2004. The analysis provides a probability of non-exceedence of any given load coefficient. This probability is discussed in the context of ASCE 7 GCp values. The same analysis is applied to data obtained from numerical simulations of the flow over a surface-mounted prism. The objective is to quantify the effects of inflow disturbances on the distribution and probability of nonexceedence of peak wind loads on the roof of the prism.

Original languageEnglish
Title of host publicationAdvances in Hurricane Engineering
Subtitle of host publicationLearning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering
Pages982-993
Number of pages12
StatePublished - 2013
Event2012 ATC and SEI Conference on Advances in Hurricane Engineering: Learning from Our Past - Miami, FL, United States
Duration: 24 Oct 201226 Oct 2012

Publication series

NameAdvances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering

Conference

Conference2012 ATC and SEI Conference on Advances in Hurricane Engineering: Learning from Our Past
Country/TerritoryUnited States
CityMiami, FL
Period24/10/1226/10/12

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