IDENTIFICATION OF DAMPING RATIO USING MONTE CARLO FILTER BASED ON EXCLUSIVE NON-GAUSSIAN PROCESS NOISE

Abstract eng:
The Basic study on the application of Monte Carlo filter (MCF) to structural damage detection is discussed in this paper. In this method, each probability distribution is expressed by many of its realization, which are called particles or samples. The advantage of the MCF technique is that it can deal with non-linear and non-Gaussian problems. From the standpoint of damage detection, non-Gaussian non-white noises might be preferable, because the damage tends to be concentrated on a specific part of a structure. From this consideration, we propose the exclusive noise. Based on hypothetical data, the numerical simulations of damage detection with the proposed non-Gaussian exclusive process noise are performed and discussed. The simulation result shows that not only stiffness but also damping ratio of damaged element might be detected from limited number of observation points.

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