WIT Press


EXPERIENCES ON STRUCTURAL OPTIMIZATION UNDER UNCERTAINTY IN AEROSPACE COMPONENTS

Price

Free (open access)

Paper DOI

10.2495/HPSM180121

Volume

175

Pages

10

Page Range

111 - 120

Published

2018

Size

1,405 kb

Author(s)

AITOR BALDOMIR, SANTIAGO HERNÁNDEZ, CARLOS LÓPEZ, CLARA CID

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.

Keywords

RBDO, RBTO, aleatory uncertainty, multi-model optimization, reliability index, fail-safe