The adoption of an evolutionary optimization approach, to tackle Reliability Based Design Optimization (RBDO) problems for which classical optimization is not feasible, can potentially lead to expand the use of RBDO in engineering applications. The herein proposed novel approach consists of coupling a differential evolution strategy with the one-level reliability method based on the Karush-Kuhn-Tucker (KKT) conditions. By selecting a few significant examples from the literature, convergence is found within a number of iterations compatible with the current capabilities of standard computational tools. These examples are chosen because lack of convergence is reported in literature when adopting classical gradient-based methods coupled with the reliability assessment. The performance and the efficiency of the algorithm are discussed, together with possible future improvements.
|Titolo:||Differential Evolution Approach to Reliability-Oriented Optimal Design|
|Autori interni:||CASCIATI, SARA|
|Data di pubblicazione:||2014|
|Rivista:||PROBABILISTIC ENGINEERING MECHANICS|
|Appare nelle tipologie:||1.1 Articolo in rivista|