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

Wang, Hao; Zong, Zhouhong; Li, Aiqun; Tong, Teng; Niu, Jie; Deng, Wenli

doi:10.1631/jzus.a1100177

Cited by 8 publications

(7 citation statements)

References 26 publications

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“…Usually, only the correlation in spatial distributions of turbulent winds is considered in practice. Hence, a 3D-nV stochastic vector process can be simplified as three independent 1D-nV stochastic processes [35]. Specifically, turbulence v is not considered for the main girder since it is a linear component.…”

Section: The Hypothesesmentioning

confidence: 99%

“…As along-bridge vibrations of the towers are determined by the main cables, turbulence v for towers is not simulated. Meanwhile, turbulence w for towers is also not simulated [35]. In general, four independent 1D-nV stochastic processes can be assumed for the main girder and towers of the RSB based on the above hypotheses, listed in Table 1.…”

Section: The Hypothesesmentioning

confidence: 99%

“…where U 1 and U 2 denote wind speeds at altitude Z 1 and Z 2 , respectively, and α is a dimensionless exponent which depends on roughness of terrain, taken as measured value 0.12 herein [35]. Based on Equation ( 36), the explicit form of the lagged decomposed EPSD matrix Λ can be expressed as [36]:…”

Section: Turbulent Wind Field Simulation For the Main Girdermentioning

confidence: 99%

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Non-Stationary Turbulent Wind Field Simulation of Long-Span Bridges Using the Updated Non-Negative Matrix Factorization-Based Spectral Representation Method

et al. 2019

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Numerical simulation of the turbulent wind field on long-span bridges is an important task in structural buffeting analysis when it comes to the system non-linearity. As for non-stationary extreme wind events, some efforts have been paid to update the classic spectral representation method (SRM) and the fast Fourier transform (FFT) has been introduced to improve the computational efficiency. Here, the non-negative matrix factorization-based FFT-aided SRM has been updated to generate not only the horizontal non-stationary turbulent wind field, but also the vertical one. Specifically, the evolutionary power spectral density (EPSD) is estimated to characterize the non-stationary feature of the field-measured wind data during Typhoon Wipha at the Runyang Suspension Bridge (RSB) site. The coherence function considering the phase angles is utilized to generate the turbulent wind fields for towers. The simulation accuracy is validated by comparing the simulated and target auto-/cross-correlation functions. Results show that the updated method performs well in generating the non-stationary turbulent wind field. The obtained wind fields will provide the research basis for analyzing the non-stationary buffeting behavior of the RSB and other wind-sensitive structures in adjacent regions.

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Section: The Hypothesesmentioning

confidence: 99%

Section: The Hypothesesmentioning

confidence: 99%

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Non-Stationary Turbulent Wind Field Simulation of Long-Span Bridges Using the Updated Non-Negative Matrix Factorization-Based Spectral Representation Method

et al. 2019

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“…Owing to the large span and the complex structural system, wind-induced motions of the SCB are relatively complicated and its behavior shows strong nonlinearity caused by geometrical and aerodynamic effects. To compute the structural buffeting responses in time-domain, a 3D wind field is essential to be used as input components (Simiu and Scalan, 1996;Wang et al, 2012).…”

Section: Climate At the Bridge Sitementioning

confidence: 99%

A simulation study on the optimal control of buffeting displacement for the Sutong Bridge with multiple tuned mass dampers

Wang

Tao

Cheng

et al. 2014

J. Zhejiang Univ. Sci. A

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The buffeting of long-span cable-supported bridges under strong winds is one of the key issues in bridge wind engineering. In order to study the effectiveness of the multiple tuned mass dampers (MTMDs) in buffeting control of long-span bridges, the Sutong Cable-stayed Bridge (SCB) with a main span of 1088 m in China is taken as an example in this paper. The spatial finite element model of the SCB is established and the modal analysis is conducted based on ANSYS. After the 3D turbulence wind field of the SCB is simulated using the measured wind parameters, the time-domain buffeting analysis on the SCB is conducted with the aerodynamic self-excited forces included. According to the dynamic characteristics and the time-domain buffeting analysis results of the SCB, the parameter sensitivity analysis on buffeting vibration control with MTMD is conducted in ANSYS. The optimum parameters are then obtained with the construction difficulty and economic factors considered. Results show that the control efficiency is sensitive to the number of the TMD, mass ratio, frequency band-width ratio, and damping ratio. Both the vertical and the lateral vibrations can be effectively controlled when proper design parameters of a MTMD system are used. In addition, the control effect on lateral vibration is better than that on vertical vibration. Results obtained in this study can provide references for anti-wind design and buffeting control of long-span cable-stayed bridges.

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“…Wind disasters are the main cause of human casualties and damage to low-rise buildings [1][2][3]. However, wind resistance research on low-rise buildings has not been sufficient; thus, it is of great practical importance to study the action mechanism and wind field characteristics of low-rise buildings in strong wind conditions [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Typhoon “Fung‐Wong” Near Earth Pulsation

Zhou

et al. 2021

Shock and Vibration

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To study the wind field characteristics near the ground pulsation in typhoon conditions, wind field conditions in the area affected by Typhoon “Fung-Wong” were monitored using wind field instruments installed in the construction building of Wenzhou University, China. Real-time wind field data were collected during typhoons. Wind characteristic parameters such as mean wind speed, wind direction angle, turbulence intensity, gust factor, peak factor, coherence function, and autocorrelation were analyzed, and the wind field characteristics during the typhoon were summarized. The results indicated that the longitudinal and lateral turbulence intensities decreased with an increase in the mean wind speed, and there was an obvious linear relationship between them. The vertical and horizontal gust factor and peak factor decreased with an increase in mean wind speed, and the trend was more obvious in the horizontal direction. There was a significant correlation between the gust factor and the peak factor. The turbulence intensity and gust factor decreased with time, and the turbulence intensity attenuation speed increased with time. The empirical curve presented by Davenport (1961) can simulate the correlation characteristics of the fluctuating wind speed components of Typhoon Fung-Wong at some measuring points. With an increase in the time difference, the dependence of the instantaneous values at the two time points gradually decreased.

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

Cited by 8 publications

References 26 publications

Non-Stationary Turbulent Wind Field Simulation of Long-Span Bridges Using the Updated Non-Negative Matrix Factorization-Based Spectral Representation Method

Non-Stationary Turbulent Wind Field Simulation of Long-Span Bridges Using the Updated Non-Negative Matrix Factorization-Based Spectral Representation Method

A simulation study on the optimal control of buffeting displacement for the Sutong Bridge with multiple tuned mass dampers

Characteristics of Typhoon “Fung‐Wong” Near Earth Pulsation

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