Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/51371
Title: Detection of flaws in composites from scattered elastic-wave field using an improved μGA and a local optimizer
Authors: Xu, Y.G. 
Liu, G.R. 
Keywords: Composites
Elastic waves
Flaw detection
Genetic algorithms
Issue Date: 2-Aug-2002
Citation: Xu, Y.G., Liu, G.R. (2002-08-02). Detection of flaws in composites from scattered elastic-wave field using an improved μGA and a local optimizer. Computer Methods in Applied Mechanics and Engineering 191 (36) : 3929-3946. ScholarBank@NUS Repository.
Abstract: An effective technique for flaw detection of composites is proposed. In this technique, the detection problem is formulated as an optimization problem minimizing the difference between the measured and calculated surface displacement response derived from scattered elastic-wave fields. A combined optimization technique of using an improved μGA and a local optimizer is developed to solve the optimization problem so as to obtain the flaw parameters defining flaw configurations. Guidelines for implementing the detection technique, including formulation of the objective function of the optimization problem using different error norms, improvement of μGA convergence performance, switch from μGA to local optimizer in optimization process, and suppression of the effect of noise on detection results, are addressed in detail. Numerical examples are presented to demonstrate the effectiveness and efficiency of the proposed detection technique. © 2002 Published by Elsevier Science B.V.
Source Title: Computer Methods in Applied Mechanics and Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/51371
ISSN: 00457825
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.