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Wind and Structures
  Volume 35, Number 6, December 2022 , pages 419-430
DOI: https://doi.org/10.12989/was.2022.35.6.419
 


Non-Gaussian wind features over complex terrain under atmospheric turbulent boundary layers: A case study
Hongtao Shen, Weicheng Hu,Qingshan Yang, Fucheng Yang, Kunpeng Guo, Tong Zhou, Guowei Qian, Qinggen Xu and Ziting Yuan

 
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.
 
Key Words
    atmospheric turbulent boundary layers; complex terrain; gust factor; LES; non-Gaussian wind features
 
Address
Hongtao Shen:PowerChina Sichuan Electric Power Engineering Co., Ltd., Chengdu, 610016, China

Weicheng Hu:1)Institute for Smart Transportation Infrasture, School of Transportation Engineering,
East China Jiaotong University, Nanchang, 330013, China
2)Chongqing Key Laboratory of Wind Engineering and Wind Energy Utilization, School of Civil Engineering,
Chongqing University, Chongqing, 400044, China
3)Zhejiang Jiangnan Project Management Co., Ltd., Hangzhou, 310007, China

Qingshan Yang:Chongqing Key Laboratory of Wind Engineering and Wind Energy Utilization, School of Civil Engineering,
Chongqing University, Chongqing, 400044, China

Fucheng Yang:PowerChina Sichuan Electric Power Engineering Co., Ltd., Chengdu, 610016, China

Kunpeng Guo:Chongqing Key Laboratory of Wind Engineering and Wind Energy Utilization, School of Civil Engineering,
Chongqing University, Chongqing, 400044, China

Tong Zhou:Department of Civil Engineering, School of Engineering, The University of Tokyo, Tokyo, 113-8656, Japan

Guowei Qian:Department of Civil Engineering, School of Engineering, The University of Tokyo, Tokyo, 113-8656, Japan

Qinggen Xu:Jiangxi Provincial Architectural Design and Research Institute Group Co., Ltd., Nanchang, 330046, China

Ziting Yuan:School of Civil Engineering and Architecture, Nanchang Jiaotong Institute, Nanchang, 330100, China
 

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