Dynamic response and reliability analysis of tall buildings subject to wind loading.pdf

ARTICLE IN PRESSJournal of Wind Engineering and Industrial Aerodynamics 96 (2008) 25–400167-6105/$ - doi:10.1016/j Correspo E-mail ad (Y. Peng). 1Tel.: +86 2Tel.: +86/locate/jweiaDynamic response and reliability analysis of tall buildings subject to wind loading Lin-lin Zhangb,1, Jie Lia,, Yongbo Pengb,2 aUrban Design Institute, Shanghai Municipal Engineering Design General Institute, North Zhongshan No. 2 Road, Shanghai 200092, PR China bDepartment of Building Engineering, School of Civil Engineering, Tongji University, Siping Road 1239, Shanghai 200092, PR China Received 31 July 2005; received in revised form 25 November 2006; accepted 13 March 2007 Available online 30 April 2007Abstract This paper explores the wind stochastic field from a new viewpoint of stochastic Fourier spectrum (SFS). The basic random parameters of the wind stochastic field, the roughness length z0 and the mean wind velocity at 10m height U10, as well as their probability density functions (PDF), are obtained. It provides opportunities to use probability density evolution method (PDEM), which had been proved to be of high accuracy and efficiency, in computing the dynamic response and reliability of tall buildings subject to the wind loading. Principals and corresponding numerical solving algorithm of the PDEM are first presented. Then, the adopted model of the wind stochastic field is described briefly. The simulation method of the fluctuating wind velocity based on the SFS is introduced. Finally, as an example of the application of the PDEM, a 20-storey frame subject to wind loading is investigated in detail. The responses, including the mean value and the standard deviation, and the reliabilities of the frame are evaluated by the PDEM. The results demonstrate that the PDEM is applicable and efficient in the dynamic response and reliability analysis of wind-excited tall building. r 2007 Elsevier Ltd. All rights reserved. Keywords: Wind loading; Stochastic Fourier spectrum; Probability den