Yong Xia

Prof. Yong Xia

orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2021 in Journal of Sound and Vibration
Verified
Journal Article
Closed access
RHRongrong Hou
Rongrong Hou
YXYong Xia
Yong Xia

5 January 2009 in Structural Control and Health Monitoring
Verified
Journal Article
Closed access
PDF file
Yi-Qing NiYi-Qing Ni
Yi-Qing Ni
YXYong Xia
Yong Xia
WLW. Y. Liao
W. Y. Liao
JKJ. M. Ko
J. M. Ko
The Guangzhou New TV Tower (GNTVT), currently being constructed in Guangzhou, China, is a supertall structure with a height of 610 m. This tube-in-tube structure comprises a reinforced concrete inner tube and a steel outer tube adopting concrete-filled-tube columns. A sophisticated structural health monitoring (SHM) system consisting of over 600 sensors has been designed and is being implemented by The Hong Kong Polytechnic University to GNTVT for both in-construction and in-service real-time monitoring. This paper outlines the technology innovation in developing and implementing this SHM system, which includes (i) modular design of the SHM system, (ii) integration of the in-construction monitoring system and the in-service monitoring system, (iii) wireless-based data acquisition and Internet-based remote data transmission, (iv) design and implementation of a fiber Bragg grating sensing system,(v) structural health and condition assessment using static and dynamic monitoring data, (vi) verification of the effectiveness of vibration control devices by the SHM system, and (vii) development of an SHM benchmark problem by taking GNTVT as a test bed and using real-world measurement data. Preliminary monitoring data including those obtained during the Wenchuan earthquake and recent typhoons are also presented. Copyright © 2008 John Wiley & Sons, Ltd.

1 February 2006 in Engineering Structures
Verified
Journal Article
Closed access
YXYong Xia
Yong Xia
HHHong Hao
Hong Hao
GZGiovanna Zanardo
Giovanna Zanardo
ADAndrew Deeks
Andrew Deeks

8 January 2012 in Journal of Civil Structural Health Monitoring
Verified
Journal Article
Closed access
PDF file
YXYong Xia
Yong Xia
BCBo Chen
Bo Chen
SWShun Weng
Shun Weng
Yi-Qing NiYi-Qing Ni
Yi-Qing Ni
YXYou-Lin Xu
You-Lin Xu

1 September 2001 in Finite Elements in Analysis and Design
Verified
Journal Article
Closed access
JBJ.M.W. Brownjohn
J.M.W. Brownjohn
PXPin-Qi Xia
Pin-Qi Xia
HHHong Hao
Hong Hao
YXYong Xia
Yong Xia

1 July 2002 in Journal of Computing in Civil Engineering
Verified
Journal Article
Closed access
HHHong Hao
Hong Hao
YXYong Xia
Yong Xia
Vibration-based methods are being rapidly applied to detect structural damage. The usual approaches incorporate sensitivity analysis and the optimization algorithm to minimize the discrepancies between the measured vibration data and the analytical data. However, conventional optimization methods are gradient based and usually lead to a local minimum only. Genetic algorithms explore the region of the whole solution space and can obtain the global optimum. In this paper, a genetic algorithm with real number encoding is applied to identify the structural damage by minimizing the objective function, which directly compares the changes in the measurements before and after damage. Three different criteria are considered, namely, the frequency changes, the mode shape changes, and a combination of the two. A laboratory tested cantilever beam and a frame are used to demonstrate the proposed technique. Numerical results show that the damaged elements can be detected by genetic algorithm, even when the analytical m...