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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
Structural Damage Quantification Based on Image Correlation and PSO
Y. Nomura1, T. Kusaka2 and H. Furuta3
1Department of Civil Engineering, Ritsumeikan University, Kusatsu, Japan
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.
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.
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