Title of article
An Improved Genetic Algorithm Using Sensitivity Analysis and Micro Search for Damage Detection
Author/Authors
Naseralavi, S.S. shahid bahonar university of kerman - Department of Civil Engineering, كرمان, ايران , Salajegheh, J. shahid bahonar university of kerman - Department of Civil Engineering, كرمان, ايران , Salajegheh, E. shahid bahonar university of kerman - Department of Civil Engineering, كرمان, ايران , Fadaee, M.J. shahid bahonar university of kerman - Department of Civil Engineering, كرمان, ايران
From page
717
To page
740
Abstract
We present a new strategy for applying to continuous genetic algorithm for damage detection of structures. This strategy pursues two aims: 1) reducing search space by elimination of some design variables during optimization process, 2) improving each individual by solving the linearized problem using Moore-Penrose pseudo inverse at the end of reproduction of genetic algorithm. To these ends, two sub-programs are embedded after typical GA operators. This strategy is applied to three different types of problems: damage detection by frequencies and by static measurements, and crack identification of a beam using frequencies. Numerical results demonstrate the high efficiency of the proposed algorithm compared to those found in the literature
Keywords
Structural damage detection , sensitivity analysis , continuous genetic algorithm
Journal title
Asian Journal of Civil Engineering (Building and Housing)
Journal title
Asian Journal of Civil Engineering (Building and Housing)
Record number
2546802
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