2009
DOI: 10.1177/0021998309347579
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Conservative Design Optimization of Laminated Composite Structures Using Genetic Algorithms and Multiple Failure Criteria

Abstract: 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 cr… Show more

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Cited by 18 publications
(6 citation statements)
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“…Most investigations that have been implemented in this area use the finite element modeling for solve the forward structural mechanics problem combined with some optimization algorithms based on the soft computing concepts, for example, genetic algorithm [8][9][10], shuffled Frog-Leaping (SFL) algorithm [11] for lay-up sequence optimization of laminate composite structures. However, there are no theorems to prove that a soft algorithm ensures the achievement of a unique global optimum.…”
Section: • Detailed Design: Ply Stacking Sequence Optimizationmentioning
confidence: 99%
“…Most investigations that have been implemented in this area use the finite element modeling for solve the forward structural mechanics problem combined with some optimization algorithms based on the soft computing concepts, for example, genetic algorithm [8][9][10], shuffled Frog-Leaping (SFL) algorithm [11] for lay-up sequence optimization of laminate composite structures. However, there are no theorems to prove that a soft algorithm ensures the achievement of a unique global optimum.…”
Section: • Detailed Design: Ply Stacking Sequence Optimizationmentioning
confidence: 99%
“…4 Conservative designs are preferred when uncertainty exists especially for safety-critical applications such as helicopter rotor blades. 5 However, the reduction in performance can be substantial because sampling uncertainty is epistemic uncertainty, which is usually treated more conservatively than aleatory uncertainty. Consequently, there has been substantial recent interest in the tradeoff between reducing sampling uncertainty and improving performance.…”
Section: Introductionmentioning
confidence: 99%
“…A selection of literature for a range of applications follows. Satheesh et al [26] looked at the use of multiple failure criteria with genetic algorithms for design optimisation of laminated plates. Kim and Kim [13] looked at the optimal design of stiffened panels from buckling.…”
Section: Introductionmentioning
confidence: 99%