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Qiusheng Li

Bio: 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.


Papers
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Journal ArticleDOI
TL;DR: In this article, the atmospheric boundary layer (ABL) and structural performance under extreme wind conditions are of major concern in the design of tall buildings in tropical cyclone-prone regions, and the structural dynamics properties and serviceability of the supertall building during a landfall typhoon are evaluated.
Abstract: Wind characteristics in the atmospheric boundary layer (ABL) and structural performance under extreme wind conditions are of major concern in the design of tall buildings in tropical cyclone-prone regions. On August 22, 2008, Typhoon Nuri (0812) made landfall over Hong Kong and then passed over its city center. This paper presents the analyzed results of the observations collected at two offshore meteorological stations and by a structural health monitoring system installed in a 420-m-high supertall building in downtown Hong Kong during the entire passage of Typhoon Nuri. The wind characteristics over open (sea) and urban (city) terrains at different stages of the typhoon are presented and discussed. Moreover, the wind-induced responses of the supertall building during the typhoon are investigated. The structural dynamics properties and serviceability of the supertall building during a landfall typhoon are evaluated. This study aims to investigate the wind characteristics in the ABL during a landf...

35 citations

Journal ArticleDOI
TL;DR: The computation results show that random vibration analysis of the super tall building with large numbers of degrees of freedom can be conducted conveniently by the PEM on an ordinary personal computer, since the algorithm makes the structural stationary random response analysis be reduced to the analysis of structural harmonic response.

34 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present an observational study of wind characteristics during Super Typhoon Mangkhut and aim to enhance the understanding of the boundary layer wind structure of strong typhoons over land.

34 citations

Journal ArticleDOI
TL;DR: In this article, a comparative analysis on the wind profile characteristics in connection with typhoon, monsoon and thunderstorm winds is presented, in which the wind profiles are constructed by synchronizing the wind measurements taken from a surface cup-anemometer and a Doppler radar profiler equipped at a coastal weather station in Hong Kong.

34 citations

Journal ArticleDOI
TL;DR: In this paper, the large deflection equation of a shallow spherical shell under uniformly distributed transverse loads is established with consideration of effects of transverse shear deformation on flexural deformation.

34 citations


Cited by
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Journal ArticleDOI

[...]

08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

33,785 citations

Book ChapterDOI
11 Dec 2012

1,704 citations

Journal ArticleDOI

1,604 citations

01 Mar 1995
TL;DR: This thesis applies neural network feature selection techniques to multivariate time series data to improve prediction of a target time series and results indicate that the Stochastics and RSI indicators result in better prediction results than the moving averages.
Abstract: : This thesis applies neural network feature selection techniques to multivariate time series data to improve prediction of a target time series. Two approaches to feature selection are used. First, a subset enumeration method is used to determine which financial indicators are most useful for aiding in prediction of the S&P 500 futures daily price. The candidate indicators evaluated include RSI, Stochastics and several moving averages. Results indicate that the Stochastics and RSI indicators result in better prediction results than the moving averages. The second approach to feature selection is calculation of individual saliency metrics. A new decision boundary-based individual saliency metric, and a classifier independent saliency metric are developed and tested. Ruck's saliency metric, the decision boundary based saliency metric, and the classifier independent saliency metric are compared for a data set consisting of the RSI and Stochastics indicators as well as delayed closing price values. The decision based metric and the Ruck metric results are similar, but the classifier independent metric agrees with neither of the other metrics. The nine most salient features, determined by the decision boundary based metric, are used to train a neural network and the results are presented and compared to other published results. (AN)

1,545 citations