EXPERIENCES ON STRUCTURAL OPTIMIZATION UNDER UNCERTAINTY IN AEROSPACE COMPONENTS

Abstract

Nondeterministic optimization methods have been studied in depth from an academy and industrial point of view. The main drawback when implementing probabilistic optimization methods to complex structures is the computational cost. Many researchers have dedicated their efforts to the development of efficient algorithms to decrease the computational time required by the original formulation of the Reliability Based Design Optimization (RBDO) problems. Among these efficient methodologies the SORA (Sequential Optimization and Reliability Assessment) method has been widely used due to its decoupled formulation. Two application examples are presented with the objective to show the possibilities of taking into account uncertainty data into structural optimization for large-scale engineering problems.