Structural Damage Detection via Modal Data with Genetic Algorithms
Publication: Journal of Structural Engineering
Volume 132, Issue 9
Abstract
This paper presents a nondestructive global damage detection and assessment methodology based on the changes in frequencies and mode shapes of vibration of a structural system. The method is applied at an element level using a finite-element model. According to continuum damage mechanics, damage is represented by a reduction factor of the element bending stiffness. A nonclassical optimization approach involving the use of genetic algorithms (GAs) is proposed to localize damaged areas of the structure. The method has been verified by a number of damage scenarios for simulated beams and by using directly experimental data from the vibration tests of a beam. It is shown that the proposed GA yields a suitable damage location and severity detection while introducing numerous advantages compared to classical methods. The influence of noise in the modal data has also been considered.
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Acknowledgments
The writers acknowledge support for the work reported in this paper from the Ministry of Education and Science of Spain (Project BIA2004-06272). They are also gratefully acknowledged to Hu et al. (2001) by the experimental data used in this work.
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 132 • Issue 9 • September 2006
Pages: 1491 - 1501
Copyright
© 2006 ASCE.
History
Received: Apr 6, 2004
Accepted: Oct 10, 2005
Published online: Sep 1, 2006
Published in print: Sep 2006
Notes
Note. Associate Editor: Ahmet Emin Aktan
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