Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00366-004-0298-y
Title: Material characterization of composite laminates using dynamic response and real parameter-coded microgenetic algorithm
Authors: Liu, G.R. 
Ma, H.J.
Wang, Y.C.
Keywords: Composite laminate
Dynamic
Inverse problem
Material characterization
Nondestructive evaluation
Real parameter-coded microgenetic algorithm
Issue Date: Aug-2005
Source: Liu, G.R., Ma, H.J., Wang, Y.C. (2005-08). Material characterization of composite laminates using dynamic response and real parameter-coded microgenetic algorithm. Engineering with Computers 20 (4) : 295-308. ScholarBank@NUS Repository. https://doi.org/10.1007/s00366-004-0298-y
Abstract: An efficient nondestructive evaluation procedure is proposed for inversely determining material constants of composite laminates using dynamic response at one point on the plate surface. Material constants of composite laminates are determined by minimizing the difference between the measured dynamic response of the actual plate and the computed response of the plate with assumed material properties. For robust and efficient function minimization, a real parameter-coded microgenetic algorithm (real-μGA) is proposed on the basis of the existing binary coded uniform microgenetic algorithm (uniform μGA). Four different crossover operators are constructed for the real-μGA. Performances of the present real-μGA and the existing uniform μGA are studied using several typical benchmark test functions and an order-3 deceptive function. The present real-μGA is then implemented as the inverse solver in the minimization process of material characterization. From hundreds of tests conducted on the benchmark functions, the order-3 deceptive function, and the material characterization problems, it is found that the real-μGA is two to five times faster in converging to the global optimum compared with the uniform μGA. Numerical examples for material characterization of composite laminates have demonstrated the robustness, efficiency, and accuracy of the proposed procedure. © Springer-Verlag London Limited 2005.
Source Title: Engineering with Computers
URI: http://scholarbank.nus.edu.sg/handle/10635/60683
ISSN: 01770667
DOI: 10.1007/s00366-004-0298-y
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

5
checked on Dec 11, 2017

WEB OF SCIENCETM
Citations

3
checked on Dec 11, 2017

Page view(s)

36
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


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