| Resumo: | Composite laminate structures are prone to probabilistic catastrophic failure due to uncertainty in material and strength properties. The Reliability Index Approach (RIA) estimates the failure probability as a function of the reliability index and is formulated as a minimization problem. For highly dimensional problems and discontinuous implicit structural response functionals, gradient-based optimization methods suffer from premature local convergence, or even divergence. A new hybrid evolutionary algorithm is developed, to achieve global convergence of the RIA problem with practical efficiency.
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