Open Access

ABSTRACT

Laplace Distribution for A Priori Information for Damage Detection

I. Yoshida ¹

1 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

Abstract

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.

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