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Finite element model updating using estimation of distribution algorithm

Wang, Ying and Zhang, T 2013, Finite element model updating using estimation of distribution algorithm, in SHMII-6 2013 : Proceedings of The 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Hong Kong Polytechnic University, Hong Kong, pp. 1-8.

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Title Finite element model updating using estimation of distribution algorithm
Author(s) Wang, Ying
Zhang, T
Conference name Structural Health Monitoring of Intelligent Infrastructure. Conference (6th : 2013 : Hong Kong)
Conference location Hong Kong
Conference dates 9-11 Dec. 2013
Title of proceedings SHMII-6 2013 : Proceedings of The 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure
Editor(s) Xu, Y. L.
Zhu, S.
Xia, Y.
Ni, Y. Q.
Law, S. S.
Yin, J. H.
Su, Z. Q.
Publication date 2013
Conference series Structural Health Monitoring of Intelligent Infrastructure Conference
Start page 1
End page 8
Total pages 8
Publisher Hong Kong Polytechnic University
Place of publication Hong Kong
Keyword(s) finite element
model updating
estimation of distribution algorithms
Summary Finite Element (FE) model updating has been attracting research attentions in structural engineering fields for over 20 years. Its immense importance to the design, construction and maintenance of civil and mechanical structures has been highly recognised. However, many sources of uncertainties may affect the updating results. These uncertainties may be caused by FE modelling errors, measurement noises, signal processing techniques, and so on. Therefore, research efforts on model updating have been focusing on tackling with uncertainties for a long time. Recently, a new type of evolutionary algorithms has been developed to address uncertainty problems, known as Estimation of Distribution Algorithms (EDAs). EDAs are evolutionary algorithms based on estimation and sampling from probabilistic models and able to overcome some of the drawbacks exhibited by traditional genetic algorithms (GAs). In this paper, a numerical steel simple beam is constructed in commercial software ANSYS. The various damage scenarios are simulated and EDAs are employed to identify damages via FE model updating process. The results show that the performances of EDAs for model updating are efficient and reliable.
Language eng
Field of Research 090506 Structural Engineering
Socio Economic Objective 870501 Civil Building Management and Services
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, Hong Kong Polytechnic University
Persistent URL http://hdl.handle.net/10536/DRO/DU:30062895

Document type: Conference Paper
Collections: School of Engineering
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.