Digital simulation of 3D turbulence wind field of Sutong Bridge based on measured wind spectra  

作　　者：Hao WANG Zhou-hong ZONG Ai-qun LI Teng TONG Jie NIU Wen-ping DENG 

机构地区：[1]Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education,Southeast University,Nanjing 210096,China [2]Key Laboratory of Environmental Impact and Structural Safety in Engineering,China University of Mining&Technology,Xuzhou 221116,China

出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2012年第2期91-104,共14页浙江大学学报（英文版）A辑（应用物理与工程）

基　　金：supported by the National Natural Science Foundation of China (Nos. 50725828, 50908046, and 50978056);the Teaching & Scientific Research Fund for Excellent Young Teachers of Southeast University;the Open Fund of Jiangsu Key Laboratory of Environmental Impact and Structural Safety in Engineering;the Basic Scientific & Research Fund of Southeast University (No. Seucx-201106);the Priority Academic Program Development Foundation of Jiangsu Higher Education Institutions, China

摘　　要：Time domain analysis is an essential implement to study the buffeting behavior of long-span bridges for it can consider the non-linear effect which is significant in long-span bridges. The prerequisite of time domain analysis is the accurate description of 3D turbulence winds. In this paper, some hypotheses for simplifying the 3D turbulence simulation of long-span cable-stayed bridges are conducted, considering the structural characteristics. The turbulence wind which is a 3D multivariate stochastic vector process is converted into four independent 1D univariate stochastic processes. Based on recorded wind data from structural health monitoring system (SHMS) of the Sutong Bridge, China, the measured spectra expressions are then presented using the nonlinear least-squares fitting method. Turbulence winds at the Sutong Bridge site are simulated based on the spectral representation method and the Fast Fourier transform (FFT) technique, and the relevant results derived from target spectra including measured spectra and recommended spectra are compared. The reliability and accuracy of the presented turbulence simulation method are validated through comparisons between simulated and target spectra (measured and recommended spectra). The obtained turbulence si-mulations can not only serve further analysis of the buffeting behavior of the Sutong Bridge, but references for structural anti-wind design in adjacent regions.Time domain analysis is an essential implement to study the buffeting behavior of long-span bridges for it can consider the non-linear effect which is significant in long-span bridges. The prerequisite of time domain analysis is the accurate description of 3D turbulence winds. In this paper, some hypotheses for simplifying the 3D turbulence simulation of long-span cable-stayed bridges are conducted, considering the structural characteristics. The turbulence wind which is a 3D multivariate stochastic vector process is converted into four independent 1D univariate stochastic processes. Based on recorded wind data from structural health monitoring system （SHMS） of the Sutong Bridge, China, the measured spectra expressions are then presented using the nonlinear least-squares fitting method. Turbulence winds at the Sutong Bridge site are simulated based on the spectral representation method and the Fast Fourier transform （FFT） technique, and the relevant results derived from target spectra including measured spectra and recommended spectra are compared. The reliability and accuracy of the presented turbulence simulation method are validated through comparisons between simulated and target spectra （measured and recommended spectra）. The obtained turbulence si- mulations can not only serve further analysis of the buffeting behavior of the Sutong Bridge, but references for structural anti-wind design in adjacent regions.

关 键 词：Turbulence simulation Spectral representation method Fast Fourier transform （FFT） Cable-stayed bridges Struc-tural health monitoring system （SHMS） Power spectral density 

分 类 号：U448.27[建筑科学—桥梁与隧道工程]