Estimation of peak wind pressure on a low-rise building

Luping Yang, Xinlai Peng, Eri Gavanski, Kurtis Gurley, David Prevatt

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

2 Citations (Scopus)

Abstract

The most appropriate statistical technique to determine a peak pressure coefficient from wind tunnel data is not a settled issue. This lack of standardization can lead to inconsistent definitions of the peak pressure coefficient. Recent papers have proposed a peak pressure coefficient cumulative distribution function (CDF) estimation procedure which utilizes the entirety of a short time history rather than sampled peaks from a long time history to derive the peak distribution. This method relies upon the accurate probabilistic modeling of the time history. The first part of this paper will present a robust PDF model developed to represent fluctuating pressures over the entire surface of a low-rise building. The existing short time history peak CDF estimation method is then modified using this new PDF model. Very long duration wind tunnel data is used to provide an empirical peak CDF to benchmark the performance of the existing and proposed new method.

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
Pages960-969
Number of pages10
Publication statusPublished - 2013 Nov 18
Event2012 ATC and SEI Conference on Advances in Hurricane Engineering: Learning from Our Past - Miami, FL, United States
Duration: 2012 Oct 242012 Oct 26

Publication series

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

Other

Other2012 ATC and SEI Conference on Advances in Hurricane Engineering: Learning from Our Past
Country/TerritoryUnited States
CityMiami, FL
Period12/10/2412/10/26

ASJC Scopus subject areas

  • Environmental Engineering

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