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DAMAGE DETECTION IN SIMULATED SPACE FRAMES USING GENETIC ALGORITHMS

Year 2015, Volume: 33 Issue: 2, 166 - 187, 01.06.2015

Abstract

Genetic algorithms (GA) based finite element model updating are applied to predict damage location and severity in space frames. The changes in natural frequencies are used as dynamic indicators to describe damaged members. Objective functions including dynamic data provide minimization of dynamic differences between numerical model and simulated damaged model. The presence of damages in structural elements is identified by stiffness reduction as a reduction in modulus of elasticity. Reproduction, double-point crossover and mutation operators are used in GA optimization procedures. In this paper, different simulated examples having various damage scenarios are modelled in SAP2000 software to obtain the experimental dynamic data. In the last example, noise effect is taken into account in simulated damaged data. A program is developed in MATLAB software for numerical model updating based on all genetic algorithm procedures. Thus, the size and extent of simulated damages are determined by updated numerical model. Results obtained from examples show that GA optimization is a convenient method for damage identification.

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There are 27 citations in total.

Details

Primary Language English
Journal Section Research Articles
Authors

Musa Artar This is me

Ayşe T. Daloğlu This is me

Publication Date June 1, 2015
Submission Date December 5, 2014
Published in Issue Year 2015 Volume: 33 Issue: 2

Cite

Vancouver Artar M, Daloğlu AT. DAMAGE DETECTION IN SIMULATED SPACE FRAMES USING GENETIC ALGORITHMS. SIGMA. 2015;33(2):166-87.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/