Technical Papers
Dec 4, 2017

Uncertainty of Peak Value of Non-Gaussian Wind Load Effect: Analytical Approach

Publication: Journal of Engineering Mechanics
Volume 144, Issue 2

Abstract

Estimating the peak value of wind load effects is an important task for engineers of structural and cladding design. Because of the various sources of uncertainties, such as the aerodynamic effect, model selection, and calibration errors, the peak wind load effects may have large variations. This study evaluates the uncertainty of the peak value of wind load effects across multiple samples from a wind tunnel. The Hermite polynomial model (HPM)-based translation process method is adopted to estimate the peak wind load effect. An empirical formula is proposed to estimate the parameters of peak value distribution. Two analytical approaches to model the uncertainty of the peak value at any fractile are proposed based on the probability function and the Gaussianity inference of the peak value. Numerical examples including the wind pressure coefficient and wind-induced response illustrate the performance of the proposed approaches.

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Acknowledgments

The support by the National Natural Science Foundation of China (Grant Nos. 51778546 and 51478401) and Youth Fund Program of Sichuan Province (2016JQ0005) is greatly acknowledged.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 144Issue 2February 2018

History

Received: Jan 12, 2017
Accepted: Aug 2, 2017
Published online: Dec 4, 2017
Published in print: Feb 1, 2018
Discussion open until: May 4, 2018

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Authors

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Guoqing Huang, A.M.ASCE [email protected]
Professor, School of Civil Engineering, Southwest Jiaotong Univ., Chengdu 610031, China (corresponding author). E-mail: [email protected]
Xiaowen Ji, S.M.ASCE [email protected]
Ph.D. Student, School of Civil Engineering, Southwest Jiaotong Univ., Chengdu 610031, China. E-mail: [email protected]
Haitao Zheng [email protected]
Professor, School of Mathematics, Southwest Jiaotong Univ., Chengdu 610031, China. E-mail: [email protected]
Ph.D. Student, School of Civil Engineering, Southwest Jiaotong Univ., Chengdu 610031, China. E-mail: [email protected]
Xinyan Peng [email protected]
Master Student, School of Civil Engineering, Southwest Jiaotong Univ., Chengdu 610031, China. E-mail: [email protected]
Qingshan Yang [email protected]
Professor, School of Civil Engineering, Chongqing Univ., Chongqing 400044, China. E-mail: [email protected]

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