Non-probabilistic reliability-based design optimization of stiffened shells under buckling constraint

On the Consideration of Uncertainty in Design: Optimization – Reliability – Robustness

“…Optimal and reliable design formulation consists of optimizing a deterministic objective function subject to stochastic constraints. This design, commonly named reliability-based design optimization (RBDO), is formulated in Equation 5as suggested by [13,14,15]. In this paper, RBDO is always associated with deterministic objective and probabilistic constraints.…”

Robust sizing optimization of stiffened panels subject to geometric imperfections using fully nonlinear postbuckling analyses

“…Bacarreza et al [15] employed an evolutionary algorithm to solve a multi-objective optimization, using an artificial neural network as a surrogate model. Meng et al [16] considered a simplified smeared stiffener model for the buckling analyses, using particle swarm for RBDO. The simplified model was later augmented by employing a surrogate model [17].…”

An interval updating model for composite structures optimization

“…The coping strategy can be divided into two ideas, namely the effective optimization algorithm and the multistage strategy. The popular optimization algorithms are permutation search (PS) algorithm [30] and particle swarm optimization (PSO) algorithm [31]. Although the global intelligent algorithm effectively improved the computational efficiency, the optimization process is still slow if the optimization strategy could not be simplified.…”