Efficacy of Interpolation-Enhanced Schemes in Random Wind Field Simulation over Long-Span Bridges

2018 ◽  
Vol 23 (3) ◽  
pp. 04017147 ◽  
Author(s):  
Tianyou Tao ◽  
Hao Wang ◽  
Chengyuan Yao ◽  
Xuhui He ◽  
Ahsan Kareem
Keyword(s):  
Wind Field ◽  
Long Span Bridges ◽  
Wind Field Simulation ◽  
Long Span ◽  
Field Simulation

scholarly journals Influence of Wind Speed, Wind Direction and Turbulence Model for Bridge Hanger: A Case Study

Symmetry ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1633
Author(s):  
Yang Ding ◽  
Shuang-Xi Zhou ◽  
Yong-Qi Wei ◽  
Tong-Lin Yang ◽  
Jing-Liang Dong
Keyword(s):  
Wind Speed ◽  
Wind Direction ◽  
Wind Field ◽  
Solid Mechanics ◽  
Von Mises Stress ◽  
Long Span Bridges ◽  
High Rise ◽  
Long Span ◽  
Cfd Models ◽  
Von Mises

Wind field (e.g., wind speed and wind direction) has the characteristics of randomness, nonlinearity, and uncertainty, which can be critical and even destructive on a long-span bridge’s hangers, such as vortex shedding, galloping, and flutter. Nowadays, the finite element method is widely used for model calculation, such as in long-span bridges and high-rise buildings. In this study, the investigated bridge hanger model was established by COMSOL Multiphysics software, which can calculate fluid dynamics (CFD), solid mechanics, and fluid–solid coupling. Regarding the wind field of bridge hangers, the influence of CFD models, wind speed, and wind direction are investigated. Specifically, the bridge hanger structure has symmetrical characteristics, which can greatly reduce the calculation efficiency. Furthermore, the von Mises stress of bridge hangers is calculated based on fluid–solid coupling.

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

2019 ◽  
Vol 9 (24) ◽  
pp. 5506
Author(s):  
Zidong Xu ◽  
Hao Wang ◽  
Han Zhang ◽  
Kaiyong Zhao ◽  
Hui Gao ◽  
...  
Keyword(s):  
Wind Field ◽  
Spectral Representation ◽  
Wind Fields ◽  
Turbulent Wind ◽  
Long Span Bridges ◽  
Long Span ◽  
Spectral Representation Method ◽  
Representation Method ◽  
Turbulent Wind Field ◽  
Non Negative Matrix Factorization

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.

Experimental Study on Wind Field Simulation of Asymmetric Spatial Heterodyne Spectrometer

2018 ◽  
Vol 47 (7) ◽  
pp. 701001
Author(s):  
姜通 JIANG Tong ◽  
施海亮 SHI Hai-liang ◽  
沈静 SHEN Jing ◽  
代海山 DAI Hai-shan ◽  
熊伟 XIONG Wei
Keyword(s):  
Experimental Study ◽  
Wind Field ◽  
Wind Field Simulation ◽  
Field Simulation ◽  
Heterodyne Spectrometer

A Sensitivity Research of Numerical Simulation about Winter Sea-Land Breeze

2013 ◽  
Vol 380-384 ◽  
pp. 1800-1803
Author(s):  
Xiao Lan Tang ◽  
Shui Yuan Cheng
Keyword(s):  
Numerical Simulation ◽  
Wind Field ◽  
Wrf Model ◽  
Horizontal Resolution ◽  
Land Breeze ◽  
Threshold Values ◽  
Tropical Island ◽  
Wind Field Simulation ◽  
Field Simulation ◽  
The Impact

Using the WRF model and NCEP data, a typical winter sea-land breeze progress in China tropical island was simulated, analyzing the impact of wind field simulation with the horizontal resolution, analog range, nesting level, and analog time. The results showed: the simulate effects of the WRF model could not always keep step with the increase of horizontal resolution. Obviously there was a threshold for the model horizontal resolution. By the same token, analog range, nesting level, and analog time have its threshold. The accuracy of the simulation reduced when the threshold values were exceeded.

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