Modeling vortex-shedding effects for the stochastic response of tall buildings in non-synoptic winds

详细信息    查看全文

• 作者：Thai-Hoa Le^a ; ^b ; Luca Caracoglia^a ; ^{lucac@coe.neu.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Tall buildings ; Non-synoptic winds ; Vortex shedding ; Stochastic response ; Thunderstorm downburst ; Wavelet-Galerkin method
• 刊名：Journal of Fluids and Structures
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：61
• 期：Complete
• 页码：461-491
• 全文大小：2654 K

文摘

This study derives a model for the vortex-induced vibration and the stochastic response of a tall building in strong non-synoptic wind regimes. The vortex-induced stochastic dynamics is obtained by combining turbulent-induced buffeting force, aeroelastic force and vortex-induced force. The governing equations of motion in non-synoptic winds account for the coupled motion with nonlinear aerodynamic damping and non-stationary wind loading. An engineering model, replicating the features of thunderstorm downbursts, is employed to simulate strong non-synoptic winds and non-stationary wind loading. This study also aims to examine the effectiveness of the wavelet-Galerkin (WG) approximation method to numerically solve the vortex-induced stochastic dynamics of a tall building with complex wind loading and coupled equations of motions. In the WG approximation method, the compactly supported Daubechies wavelets are used as orthonormal basis functions for the Galerkin projection, which transforms the time-dependent coupled, nonlinear, non-stationary stochastic dynamic equations into random algebraic equations in the wavelet space. An equivalent single-degree-of-freedom building model and a multi-degree-of-freedom model of the benchmark Commonwealth Advisory Aeronautical Research Council (CAARC) tall building are employed for the formulation and numerical analyses. Preliminary parametric investigations on the vortex-shedding effects and the stochastic dynamics of the two building models in non-synoptic downburst winds are discussed. The proposed WG approximation method proves to be very powerful and promising to approximately solve various cases of stochastic dynamics and the associated equations of motion accounting for vortex shedding effects, complex wind loads, coupling, nonlinearity and non-stationarity.