Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where H. M. Chow is active.

Publication


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

Detection of Multiple Cracks on a Partially Obstructed Plate Structure Following the Probabilistic Approach

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

Enhancing the performance of structural model identification by optimal sensor placement

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

Dynamic reduction-based structural damage detection of transmission tower utilizing ambient vibration data

T. Yin; H. F. Lam; H. M. Chow; Hongping Zhu


Structural Control & Health Monitoring | 2011

Optimal sensor configuration of a typical transmission tower for the purpose of structural model updating

H. M. Chow; H. F. Lam; T. Yin; Siu-Kui Au


Proceedings of the 7th International Conference on Tall Buildings | 2009

Detection of Multiple Cracks on a Partially Obstructed Plate Following the Bayesian Approach

H. F. Lam; T. Yin; H. M. Chow


7th International Conference on Tall Buildings | 2009

OPTIMAL SENSOR PLACEMENT METHOD FOR THE PURPOSE OF STRUCTURAL HEALTH MONITORING

H. F. Lam; H. M. Chow; T. Yin


international conference on intelligent systems | 2008

Detection of multiple cracks on obstructed structural members by measured dynamic responses

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

Detection of Cracks on a Plate by a Bayesian Probabilistic Methodology

H. M. Chow; H. F. Lam


11th East Asia-Pacific Conference on Structural Engineering and Construction, EASEC-11 | 2008

Statistical optimal sensor placement technique for structural model updating

H. M. Chow; H. F. Lam; T. Yin


11th East Asia-Pacific Conference on Structural Engineering and Construction, EASEC-11 | 2008

Crack detection of plate structures by a bayesian probabilistic methodology

H. F. Lam; T. Yin; H. M. Chow

Collaboration


Dive into the H. M. Chow's collaboration.

Top Co-Authors

Avatar

H. F. Lam

City University of Hong Kong

View shared research outputs
Top Co-Authors

Avatar

T. Yin

City University of Hong Kong

View shared research outputs
Top Co-Authors

Avatar

Hongping Zhu

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Siu-Kui Au

University of Liverpool

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge