Design optimization of composites using genetic algorithms and failure mechanism based failure criterion

Narayana Naik, G. ; Gopalakrishnan, S. ; Ganguli, Ranjan (2008) Design optimization of composites using genetic algorithms and failure mechanism based failure criterion Composite Structures, 83 (4). pp. 354-367. ISSN 0263-8223

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Official URL: http://www.sciencedirect.com/science/article/pii/S...

Related URL: http://dx.doi.org/10.1016/j.compstruct.2007.05.005

Abstract

In this paper, minimum weight design of composite laminates is presented using the failure mechanism based (FMB), maximum stress and Tsai–Wu failure criteria. The objective is to demonstrate the effectiveness of the newly proposed FMB failure criterion (FMBFC) in composite design. The FMBFC considers different failure mechanisms such as fiber breaks, matrix cracks, fiber compressive failure, and matrix crushing which are relevant for different loading conditions. A genetic algorithm is used for the optimization study. The Tsai–Wu failure criterion over predicts the weight of the laminate by up to 86% in the third quadrant of the failure envelope compared to FMB and maximum stress failure criteria, when the laminate is subjected to compressive–compressive loading. It is found that the FMB and maximum stress failure criteria give comparable weight estimates. The FMBFC can be considered for use in the strength design of composite structures.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Minimum Weight Design of Composites; Genetic Algorithms; Failure Mechanism Based Failure Criterion; Design Optimization; Failure Envelopes
ID Code:102010
Deposited On:09 Mar 2018 10:36
Last Modified:09 Mar 2018 10:36

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