H. M. Chow
City University of Hong Kong
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Featured researches published by H. M. Chow.
2nd International Symposium on Computational Mechanics, ISCM II, and the 12th International Conference on the Enhancement and Promotion of Computational Methods in Engineering and Science, EPMESC XII | 2010
T. Yin; H. F. Lam; H. M. Chow
This paper addresses the problem of detecting multiple cracks on thin plates utilizing measured dynamic responses from only a few points on the target plate. Most existing model‐based methods in the literature focus on the detection of single‐crack or multi‐crack with given crack number on beams. Only very limited number of researches have been carried out for the detection of multiple cracks for plate‐type structures following the model‐based method. There are two phase contained in the proposed crack detection methodology. The number of cracks is first identified by adopting the Bayesian model class selection method in the first stage. After that, the posterior (updated) probability density function (PDF) of the crack parameters, such as crack locations, lengths and depths are identified in the second phase following the Bayesian statistical identification framework. Very encouraging results are obtained for the case studies showing that the proposed methodology can correctly identify the number of crac...
2nd International Symposium on Computational Mechanics, ISCM II, and the 12th International Conference on the Enhancement and Promotion of Computational Methods in Engineering and Science, EPMESC XII | 2010
H. F. Lam; H. M. Chow; T. Yin
A methodology is presented in this paper for the identification of an effective way to install a given number of sensors on a structure to extract as much information as possible for structural model identification utilizing measured dynamic data. The information entropy is employed as a measure to quantify the uncertainties of the set of identified model parameters. The problem of optimal sensor placement is then formulated as a discrete optimization problem, in which the information entropy measure is minimized, with the sensor configurations as the minimization variables. The methodology is illustrated numerically and experimentally using shear building models. The performance of the optimal sensor placement technique is verified using the identification results based on the measured acceleration responses of a 4‐storey shear building model under laboratory conditions.
Engineering Structures | 2009
T. Yin; H. F. Lam; H. M. Chow; Hongping Zhu
Structural Control & Health Monitoring | 2011
H. M. Chow; H. F. Lam; T. Yin; Siu-Kui Au
Proceedings of the 7th International Conference on Tall Buildings | 2009
H. F. Lam; T. Yin; H. M. Chow
7th International Conference on Tall Buildings | 2009
H. F. Lam; H. M. Chow; T. Yin
international conference on intelligent systems | 2008
H. F. Lam; Ching-Tai Ng; H. M. Chow
12th Annual Conference of HKSTAM 2007/2008 and the 5th Shanghai-Hong Kong Forum on Mechanics & Its Application | 2008
H. M. Chow; H. F. Lam
11th East Asia-Pacific Conference on Structural Engineering and Construction, EASEC-11 | 2008
H. M. Chow; H. F. Lam; T. Yin
11th East Asia-Pacific Conference on Structural Engineering and Construction, EASEC-11 | 2008
H. F. Lam; T. Yin; H. M. Chow