DAMAGE IDENTIFICATION OF DYNAMICALLY LOADED STRUCTURES: METHODOLOGY AND MODAL PROPERTIES STUDY

Abstract eng:
The paper is focused on damage identification of dynamically loaded structures using methods of soft computing including artificial intelligence. The damage and variability of material properties (stiffness) along the structure is studied. The identification method based on coupling of artificial neural networks and stochastic analysis of structure for preparation of appropriate training set is used. Sensitivity analysis of the input parameters is the integral part of the method. The proposed methodology is extended towards the dynamic response of structures when results of modal analysis are the input parameters (frequencies, mode shapes). As a particular step an influence of local decrease of stiffness on modal properties (eigenfrequencies and modeshapes) is studied. The role of the magnitude of damage is examined. The aim is determination of suitable initial parameters for consequent inverse analysis.

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