ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Improved genetic algorithm, combined with artificial neural network, is present for the optimaldesign of 2.5D braided composite. Dispersal simulation data, including maximal stresses and elasticsproperties, are adopted by artificial neural network for the calculation of strength property. Based oncalculation method of strength mentioned above and other calculation models for other mechanicalproperties, genetic algorithm is employed for the design of structure parameters of 2.5D braidedcomposite, such as wrap fiber density, fill fiber density and interface strength. These structure optimalparameters are finally optimized for practical application
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/56/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.368-372.1645.pdf
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