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ABSTRACT
Laplace Distribution for A Priori Information for Damage Detection
Civil Engineering Dept., Musashi Institute of Technology, Tokyo, Japan
The International Conference on Computational & Experimental Engineering and Sciences 2008, 6(3), 195-200. https://doi.org/10.3970/icces.2008.006.195
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A priori information is discussed in order to overcome the ill-posedness of damage detection. We compared Gauss and Laplace distributions to express the uncertainties of a priori information. Uncertainty level of a priori and observation information is related to the balance of a priori and observation terms in the objective function. Maximum likelihood method is used to determine the balance adaptively. The method is examined through numerical simulations of identification problem to detect damage of a bridge based on coupling vibration with moving vehicles.Cite This Article
APA Style
Yoshida, I. (2008). Laplace distribution for A priori information for damage detection. The International Conference on Computational & Experimental Engineering and Sciences, 6(3), 195-200. https://doi.org/10.3970/icces.2008.006.195
Vancouver Style
Yoshida I. Laplace distribution for A priori information for damage detection. Int Conf Comput Exp Eng Sciences . 2008;6(3):195-200 https://doi.org/10.3970/icces.2008.006.195
IEEE Style
I. Yoshida, “Laplace Distribution for A Priori Information for Damage Detection,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 6, no. 3, pp. 195-200, 2008. https://doi.org/10.3970/icces.2008.006.195
Copyright © 2008 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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