TY - JOUR

T1 - Stochastic harmonic function based wind field simulation and wind-induced reliability of super high-rise buildings

AU - Chen, Jianbing

AU - Chen, Youwei

AU - Peng, Yongbo

AU - Zhu, Shiyun

AU - Beer, Michael

AU - Comerford, Liam

N1 - Funding information: The supports of the National Natural Science Foundation of China (Grant Nos. 11672209 , 51538010 , 51725804 , 51878505 , and 11761131014 ), and the National Key R&D Program of China (Grant No. 2017YFC0803300 ) are highly appreciated. The authors are grateful to Mr Guangjing Sha and Mr Xi Zhu for their helps in preparing this article.

PY - 2019/11/1

Y1 - 2019/11/1

N2 - Wind field simulation and wind-induced reliability assessment are two critical steps in wind-induced vibration analysis and design of super high-rise buildings. Owing to its simple algorithm and rigorous theoretical basis, the spectral representation method (SRM) is widely used in practice. However, the SRM still encounters the computational challenge due to the Cholesky decomposition with respect to the crossing-power spectral density (PSD) matrix, particularly in the simulation of multi-variate random processes of large-size wind fluctuation fields. To circumvent this challenge, the stochastic harmonic function based spectral representation method (SHF-SRM) proposed in recent years is extended to the simulation of multi-variate random processes. In conjunction with the probability density evolution method (PDEM), the stochastic response analysis and reliability assessment of wind-induced random vibration of structures is addressed. For illustrative purposes, the wind field simulation and wind-induced vibration and reliability assessment of a 417.7 m high building are carried out. The numerical example proves the effectiveness of the SHF-SRM in simulating multi-variate random processes, and reveals the value of reliability assessment in terms of the global reliability and the time-variant reliability for the enhancement of wind-resistant design of high-rise buildings.

AB - Wind field simulation and wind-induced reliability assessment are two critical steps in wind-induced vibration analysis and design of super high-rise buildings. Owing to its simple algorithm and rigorous theoretical basis, the spectral representation method (SRM) is widely used in practice. However, the SRM still encounters the computational challenge due to the Cholesky decomposition with respect to the crossing-power spectral density (PSD) matrix, particularly in the simulation of multi-variate random processes of large-size wind fluctuation fields. To circumvent this challenge, the stochastic harmonic function based spectral representation method (SHF-SRM) proposed in recent years is extended to the simulation of multi-variate random processes. In conjunction with the probability density evolution method (PDEM), the stochastic response analysis and reliability assessment of wind-induced random vibration of structures is addressed. For illustrative purposes, the wind field simulation and wind-induced vibration and reliability assessment of a 417.7 m high building are carried out. The numerical example proves the effectiveness of the SHF-SRM in simulating multi-variate random processes, and reveals the value of reliability assessment in terms of the global reliability and the time-variant reliability for the enhancement of wind-resistant design of high-rise buildings.

KW - Multi-variate random processes

KW - Probability density evolution method

KW - Reliability assessment

KW - Stochastic harmonic function

KW - Super high-rise buildings

KW - Wind field simulation

UR - http://www.scopus.com/inward/record.url?scp=85070378424&partnerID=8YFLogxK

U2 - 10.1016/j.ymssp.2019.106264

DO - 10.1016/j.ymssp.2019.106264

M3 - Article

AN - SCOPUS:85070378424

VL - 133

JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

SN - 0888-3270

M1 - 106264

ER -