Wind and Structures

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Non-Gaussian wind features over complex terrain under atmospheric turbulent boundary layers: A case study

  • Hongtao, Shen (PowerChina Sichuan Electric Power Engineering Co., Ltd.) ;
  • Weicheng, Hu (Institute for Smart Transportation Infrasture, School of Transportation Engineering, East China Jiaotong University) ;
  • Qingshan, Yang (Chongqing Key Laboratory of Wind Engineering and Wind Energy Utilization, School of Civil Engineering, Chongqing University) ;
  • Fucheng, Yang (PowerChina Sichuan Electric Power Engineering Co., Ltd.) ;
  • Kunpeng, Guo (Chongqing Key Laboratory of Wind Engineering and Wind Energy Utilization, School of Civil Engineering, Chongqing University) ;
  • Tong, Zhou (Department of Civil Engineering, School of Engineering, The University of Tokyo) ;
  • Guowei, Qian (Department of Civil Engineering, School of Engineering, The University of Tokyo) ;
  • Qinggen, Xu (Jiangxi Provincial Architectural Design and Research Institute Group Co., Ltd.) ;
  • Ziting, Yuan (School of Civil Engineering and Architecture, Nanchang Jiaotong Institute)
  • Received : 2022.08.05
  • Accepted : 2022.12.13
  • Published : 2022.12.25
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Abstract

In wind-resistant designs, wind velocity is assumed to be a Gaussian process; however, local complex topography may result in strong non-Gaussian wind features. This study investigates the non-Gaussian wind features over complex terrain under atmospheric turbulent boundary layers by the large eddy simulation (LES) model, and the turbulent inlet of LES is generated by the consistent discretizing random flow generation (CDRFG) method. The performance of LES is validated by two different complex terrains in Changsha and Mianyang, China, and the results are compared with wind tunnel tests and onsite measurements, respectively. Furthermore, the non-Gaussian parameters, such as skewness, kurtosis, probability curves, and gust factors, are analyzed in-depth. The results show that the LES method is in good agreement with both mean and turbulent wind fields from wind tunnel tests and onsite measurements. Wind fields in complex terrain mostly exhibit a left-skewed Gaussian process, and it changes from a softening Gaussian process to a hardening Gaussian process as the height increases. A reduction in the gust factors of about 2.0%-15.0% can be found by taking into account the non-Gaussian features, except for a 4.4% increase near the ground in steep terrain. This study can provide a reference for the assessment of extreme wind loads on structures in complex terrain.

Keywords

Acknowledgement

The authors gratefully acknowledge the financial support provided by the National Natural Science Foundation of China (Grant No. 52208479), the China Postdoctoral Science Foundation project (Grant No. 2022M720577), the Postdoctoral Research Project of Zhejiang Province (Grant No. ZJ2022037), the Science and Technology Research Project of Jiangxi Provincial Education Department (Grant No. GJJ210657), and the Foundation of Humanities and Social Science Universities of Jiangxi Province (Grant No. GL21225).

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