Computational Technology Resources - CCP

Y. Nomura¹, T. Kusaka² and H. Furuta³

¹Department of Civil Engineering, Ritsumeikan University, Kusatsu, Japan
²Department of Mechanical Engineering, Ritsumeikan University, Kusatsu, Japan
³Faculty of Informatics, Kansai University, Takatsuki, Japan

doi:10.4203/ccp.109.45

purchase the full-text of this paper

Y. Nomura, T. Kusaka, H. Furuta, "Structural Damage Quantification Based on Image Correlation and PSO", in Y. Tsompanakis, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 45, 2015. doi:10.4203/ccp.109.45

Keywords: structural health monitoring, digital image correlation, fractal, particle swarm optimization.

Summary

Recently, assessing the integrity of the civil or mechanical structures has been extremely important in order to ensure the safety. In general, damage localization is performed through comparisons of some feature which robustly quantifies damage-induced changes, which implies that some baseline data needs to be possessed under the intact condition of the structure in advance. However, there are many existing structures which have no such baseline data. In this study, an attempt is made to develop a baseline-free damage detection system using a digital image correlation method and fractal dimension analysis. Another attempt is made to identify the damage ratio for the purpose of damage quantification by using particle swarm optimization. Finally, the performance of the proposed system is discussed through numerical simulations and laboratory experiments.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £50 +P&P)

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 109 PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: Y. Tsompanakis, J. Kruis and B.H.V. Topping Paper 45 Structural Damage Quantification Based on Image Correlation and PSO Y. Nomura¹, T. Kusaka² and H. Furuta³ ¹Department of Civil Engineering, Ritsumeikan University, Kusatsu, Japan ²Department of Mechanical Engineering, Ritsumeikan University, Kusatsu, Japan ³Faculty of Informatics, Kansai University, Takatsuki, Japan doi:10.4203/ccp.109.45 purchase the full-text of this paper Full Bibliographic Reference for this paper Y. Nomura, T. Kusaka, H. Furuta, "Structural Damage Quantification Based on Image Correlation and PSO", in Y. Tsompanakis, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 45, 2015. doi:10.4203/ccp.109.45 Keywords: structural health monitoring, digital image correlation, fractal, particle swarm optimization. Summary Recently, assessing the integrity of the civil or mechanical structures has been extremely important in order to ensure the safety. In general, damage localization is performed through comparisons of some feature which robustly quantifies damage-induced changes, which implies that some baseline data needs to be possessed under the intact condition of the structure in advance. However, there are many existing structures which have no such baseline data. In this study, an attempt is made to develop a baseline-free damage detection system using a digital image correlation method and fractal dimension analysis. Another attempt is made to identify the damage ratio for the purpose of damage quantification by using particle swarm optimization. Finally, the performance of the proposed system is discussed through numerical simulations and laboratory experiments. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £50 +P&P)
Back to top	©Civil-Comp Limited 2023 - terms & conditions