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Hongtao Shen,Weicheng Hu,Qing-shan Yang,Fucheng Yang,Kunpeng Guo,Tong Zhou,Guowei Qian,Qinggen Xu,Ziting Yuan 한국풍공학회 2022 Wind and Structures, An International Journal (WAS Vol.35 No.6
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.
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Measurement and Analysis of Burst Topic in Microblog
Guozhong Dong,Xin Zou,Wei Wang,Yaxue Hu,Guowei Shen,Korawit Orkphol,Wu Yang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.2
Microblog provides the first communication platform for burst event due to the immediacy and interactivity of microblog. In this paper, we research on user-oriented and message-oriented measurements of burst topic in Sina microblog. The measurements and analysis on large-scale Sina microblog data set show that our proposed measurement method can measure the characteristics of user and message propagation in burst topic. The measurement results in this paper can describe the formation and diffusion mechanism of burst topic which will contribute to better research of relevant issues on burst topic and ensure the well-developed of microblog.
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