Uncertainties in the estimation of peak pressures on low-rise buildings with Gumbel fitting approach

Eri Gavanski, Kurtis R. Gurley, Gregory A. Kopp

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

2 Citations (Scopus)

Abstract

This paper examines the uncertainties associated with a Gumbel fitting approach to estimate local peak pressure coefficients from wind tunnel data of the duration commonly found in practice. The sources of uncertainty include the use of short duration records (in practice) as well as the assumption that the observed peaks from wind tunnel pressure data are Gumbel distributed. Empirical cumulative distributions of local peak values are generated from very long wind tunnel time histories and provide a benchmark against which to evaluate the precision and accuracy of the method that assume the peaks are Gumbel distributed. This paper demonstrates that with a time scale appropriate for design, an equivalent full-scale duration of 100 min of data can achieve reasonably accurate local peak pressure estimates.

Original languageEnglish
Title of host publication12th Americas Conference on Wind Engineering 2013, ACWE 2013
Subtitle of host publicationWind Effects on Structures, Communities, and Energy Generation
Pages95-104
Number of pages10
Publication statusPublished - 2013 Dec 1
Event12th Americas Conference on Wind Engineering 2013: Wind Effects on Structures, Communities, and Energy Generation, ACWE 2013 - Seattle, WA, United States
Duration: 2013 Jun 162013 Jun 20

Publication series

Name12th Americas Conference on Wind Engineering 2013, ACWE 2013: Wind Effects on Structures, Communities, and Energy Generation
Volume1

Other

Other12th Americas Conference on Wind Engineering 2013: Wind Effects on Structures, Communities, and Energy Generation, ACWE 2013
Country/TerritoryUnited States
CitySeattle, WA
Period13/6/1613/6/20

Keywords

  • Low-rise buildings
  • Peak pressure coefficients
  • Uncertainty
  • Wind loads

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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