Genetic Algorithm for Damage Assessment
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Genetic Algorithms (GAs) are recognized as an alternative class of computational model, which mimic natural evolution to solve problems in a wide domain including machine learning, music generation, genetic synthesis etc. In the present study Genetic Algorithm has been employed to obtain damage assessment of composite structural elements. It is considered that a state of damage can be modeled as reduction in stiffness. The task is to determine the magnitude and location of damage. In a composite plate that is discretized into a set of finite elements, if a jth element is damaged, the GA based technique will predict the reduction in Ex and Ey and the location j. The fact that the natural frequency decreases with decrease in stiffness is made use of in the method. The natural frequency of any two modes of the damaged plates for the assumed damage parameters is facilitated by the use of Eigen sensitivity analysis. The Eigen value sensitivities are the derivatives of the Eigen values with respect to certain design parameters. If ωiu is the natural frequency of the ith mode of the undamaged plate and ωid is that of the damaged plate, with δωi as the difference between the two, while δωk is a similar difference in the kth mode, R is defined as the ratio of the two. For a random selection of Ex,Ey and j, a ratio Ri is obtained. A proper combination of Ex,Ey and j which makes Ri−R=0 is obtained by Genetic Algorithm.
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- Genetic Algorithm for Damage Assessment
- Book Title
- IUTAM Symposium on Evolutionary Methods in Mechanics
- Book Subtitle
- Proceedings of the IUTAM Symposium held in Cracow, Poland, 24–27 September, 2002
- pp 131-141
- Print ISBN
- Online ISBN
- Series Title
- Solid Mechanics and Its Applications
- Series Volume
- Series ISSN
- Springer Netherlands
- Copyright Holder
- Springer Science + Business Media, Inc.
- Additional Links
- genetic algorithm
- damage assessment
- NDE of composites
- vibration technique
- Industry Sectors
- eBook Packages
- Editor Affiliations
- 2. Department for Strength of Materials, Silesian University of Technology
- 3. Institute of Computer Modelling, Cracow University of Technology
- 4. Department of Applied Computer Science, Faculty of Management, AGH University of Science and Technology
- Author Affiliations
- 5. Infosys Technologies Limited, Bangalore
- 6. Department of Civil Engineering, Indian Institute of Science, Bangalore
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