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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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Torsional dynamic wind loads on rectangular tall buildings

TL;DR: In this article, an analytical model of wind-induced dynamic torque on rectangular tall buildings is established accordingly, and a calculation method is presented based on the proposed model to estimate windinduced torsional responses of rectangular tall building in the frequency domain.
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Deep seismic reflection profile across the juncture zone between the Tarim Basin and the West Kunlun Mountains

TL;DR: In this paper, the fine structures of the crust and upper mantle of the basin-and-range juncture on the northwestern margin of the Qinghai-Tibetan Plateau are first delineated by the deep seismic reflection profile across the juncture zone between the Tarim Basin and the West Kunlun Mountains.
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Wind tunnel study of interference effects between twin super-tall buildings with aerodynamic modifications

TL;DR: In this paper, the authors investigate the interference effects between twin super-tall buildings with aerodynamic modifications and show that the dynamic wind loads and responses are greatly increased in critical tandem and staggered arrangements of the twin towers and the minimum peak negative pressure coefficients are approximately 30% larger than those without interference.
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Application of the response surface methods to solve inverse reliability problems with implicit response functions

TL;DR: In this article, two different response surface methods, namely the polynomial-based response surface method and the artificial neural network-based Response Surface method, are developed to solve the inverse reliability problems with implicit response functions, and the accuracy and efficiency of the two response surfaces methods are demonstrated through two numerical examples of steel structures.
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Prediction of wind loads on a large flat roof using fuzzy neural networks

TL;DR: In this article, an Fuzzy neural network (FNN) was used to predict wind loads on buildings on the basis of data obtained from model tests in wind tunnels, where simultaneous pressure measurements were made on a large flat roof model in a boundary layer wind tunnel, and parts of the wind tunnel test results were used as the training sets for the FNN to recognize the pressure distribution patterns.