Structural damage detection using an efficient correlation-based index and a modified genetic algorithm

Authors:
M. Nobahari;S. M. Seyedpoor
Affiliations:
Department of Civil Engineering, Islamic Azad University, Neyshabur Branch, Neyshabur, Iran;Department of Civil Engineering, Shomal University, Amol, Iran
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2011

Citing 6
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Abstract

An efficient optimization procedure is proposed to detect multiple damage in structural systems. Natural frequency changes of a structure are considered as a criterion for damage presence. In order to evaluate the required natural frequencies, a finite element analysis (FEA) is utilized. A modified genetic algorithm (MGA) with two new operators (health and simulator operators) is presented to accurately detect the locations and extent of the eventual damage. An efficient correlation-based index (ECBI) as the objective function for the optimization algorithm is also introduced. The numerical results of two benchmark examples considering the measurement noise demonstrate the computational advantages of the proposed method to precisely determine the sites and the extent of multiple structural damage.