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Conservative Design Optimization of Laminated Composite Structures Using Genetic Algorithms and Multiple Failure Criteria

Satheesh, R and Naik, Narayana G and Ganguli, Ranjan (2010) Conservative Design Optimization of Laminated Composite Structures Using Genetic Algorithms and Multiple Failure Criteria. In: Journal of composite materials, 44 (3). pp. 369-387.

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This article analyzes the effect of devising a new failure envelope by the combination of the most commonly used failure criteria for the composite laminates, on the design of composite structures. The failure criteria considered for the study are maximum stress and Tsai-Wu criteria. In addition to these popular phenomenological-based failure criteria, a micromechanics-based failure criterion called failure mechanism-based failure criterion is also considered. The failure envelopes obtained by these failure criteria are superimposed over one another and a new failure envelope is constructed based on the lowest absolute values of the strengths predicted by these failure criteria. Thus, the new failure envelope so obtained is named as most conservative failure envelope. A minimum weight design of composite laminates is performed using genetic algorithms. In addition to this, the effect of stacking sequence on the minimum weight of the laminate is also studied. Results are compared for the different failure envelopes and the conservative design is evaluated, with respect to the designs obtained by using only one failure criteria. The design approach is recommended for structures where composites are the key load-carrying members such as helicopter rotor blades.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to Sage publications ltd.
Keywords: conservative design optimization; composite structures; genetic algorithms; failure criteria; failure mechanism based failure criterion
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Depositing User: Id for Latest eprints
Date Deposited: 22 Feb 2010 07:13
Last Modified: 07 Jul 2011 07:01
URI: http://eprints.iisc.ac.in/id/eprint/25773

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