Investigation on the sensitivity of subspace based damage detection technique to damage and noise levels

作者: Michael Döhler , Carlos Ventura , Laurent Mevel , Saeid Allahdadian , Palle Andersen

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摘要: Damage detection techniques are one of the main tools in health monitoring structures. This paper addresses effect noise measured data on a robust damage method, namely statistical subspace-based technique. In this method need evaluating modal parameters structure is circumvented which makes capable real-time Moreover, identifies changes eigen-structure model it approach to function with high amount input data. order investigate bridge located Reibersdorf, Austria, considered. modeled and calibrated real test data; subsequently elements for different ratios. With using white excitation, ambient vibration simulated ratios applied A reference state evaluated residual between possibly damaged states defined independently from excitations employing ଶ then compared threshold corresponding state. Subsequently, their difference investigated. It was concluded that SSDD technique estimating almost all even observed ratio may be interpreted as damage, since reflected computed residual. An optimum range also assessed proposed.

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