An efficient first-order scheme for searching optimal robust designs

Abstract eng:
An efficient method to carry out reliability-based optimization of uncertain structural systems under stochastic excitation is presented. The approach is based on a descent-feasible direction and a line search strategy. Starting from a feasible design, a direction that improves the objective function while ensuring the fulfillment of the probabilistic and deterministic constraints is determined. Once a feasible direction is determined a line search strategy is employed to determine a new candidate design. Then, the design is updated and the process continues until convergence is achieved. The proposed design scheme is monotonically convergent, that is, it generates a sequence of steadily improved feasible designs. The proposed optimization scheme improves initial feasible designs substantially after only few iterations. An example problem that considers a resistant element of an uncertain shear building model under earthquake motion is presented to illustrate the effectiveness and feasibility of the proposed approach.

• Export as: BibTeX | MARC | MARCXML | DC | EndNote | NLM | RefWorks
• Add to your basket