Q
Qiusheng Li
Researcher at City University of Hong Kong
Publications - 476
Citations - 11153
Qiusheng Li is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Wind speed & Wind tunnel. The author has an hindex of 47, co-authored 429 publications receiving 8830 citations. Previous affiliations of Qiusheng Li include Chinese Ministry of Education & Guangzhou University.
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SINOPROBE deep reflection profile reveals a Neo-Proterozoic subduction zone beneath Sichuan Basin
Rui Gao,Chen Chen,Haiyan Wang,Zhanwu Lu,Lawrence D. Brown,Shuwen Dong,Shaoying Feng,Qiusheng Li,Wenhui Li,Zhongping Wen,Feng Li +10 more
TL;DR: In this paper, a multichannel seismic reflection profile collected across the Sichuan Basin in southern China by SINOPROBE images prominent reflectors that originate within the lower crust and penetrate well into the underlying mantle.
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Dynamic characteristics and wind-induced responses of a super-tall building during typhoons
J. Yi,J.W. Zhang,Qiusheng Li +2 more
TL;DR: In this article, the authors presented the field measurement results of dynamic characteristics and wind-induced responses of a 420m high tall building in Hong Kong during the passage of typhoons.
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Full-scale measurements of wind effects on Guangzhou West Tower
TL;DR: In this article, field measurements of wind characteristics and wind effects on Guangzhou West Tower (GZWT) were conducted when Typhoon Megi affected this super tall building on October 22, 2010.
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Implementing wind turbines in a tall building for power generation: A study of wind loads and wind speed amplifications
TL;DR: In this paper, the authors investigated the wind loads on a tall building and the wind speed up factors in the tunnels for wind-power generation based on wind tunnel tests and wind climate data analysis.
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Damping in buildings : its neural network model and AR model
TL;DR: In this article, two models of damping in a tall building, the artificial neural network (ANN) model and the auto-regressive (AR) model, are established by employing ANN and AR methods, and used to predict the damping values at high amplitude level, which are difficult to obtain from field measurements.