Technical Papers
Apr 20, 2015

Extreme Wind Pressures and Non-Gaussian Characteristics for Super-Large Hyperbolic Cooling Towers Considering Aeroelastic Effect

Publication: Journal of Engineering Mechanics
Volume 141, Issue 7

Abstract

Super-large hyperbolic cooling towers (SCT) are typical cylinder-like structures and feature spatial, three-dimensional (3D), circumferential motion characteristics, wherein the non-Gaussian probability distribution characteristics of local fluctuating wind pressures involved with vortex shedding or reattachment phenomena are excessive compared with the traditional wind load theoretical system based on Gaussian assumption. In this paper, the stochastic distribution characteristics of fluctuating wind pressures for the SCT (H=215m) in the Jiangxi nuclear power plant with aeroelastic effect based on synchronous pressure and vibration wind tunnel test were investigated, then the formation mechanism of non-Gaussian fluctuating wind pressures was further revealed. According to the formation mechanism, the probability distribution characteristics, spatial correlation, criterion, and division of non-Gaussian fluctuating wind pressures were discussed in detail. Finally, the prediction method and distribution characteristics of extreme value distribution of wind pressures on the basis of guaranteed rate and correlation were proposed. Herein, some useful conclusions can be used for reference in the design of wind-resistant SCT.

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Acknowledgments

This project is jointly supported by the National Natural Science Foundation (51178353 and 51208254), Jiangsu Province Natural Science Foundation (BK2012390), and China Postdoctoral Science Foundation (2013M530255; 1202006B), which are gratefully acknowledged.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 141Issue 7July 2015

History

Received: Aug 28, 2014
Accepted: Dec 29, 2014
Published online: Apr 20, 2015
Published in print: Jul 1, 2015
Discussion open until: Sep 20, 2015

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Authors

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Associate Professor, Dept. of Civil Engineering, Nanjing Univ. Aeronautics and Astronautics, No. 29 Yudao Rd., Nanjing 210016, China (corresponding author). E-mail: [email protected]
Professor, State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji Univ., No. 1239 Siping Rd., Shanghai 200092, China. E-mail: [email protected]

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