Global optimal reliability index of implicit composite laminate structures by evolutionary algorithms

• Tipo: Artigo em Revista Científica Internacional
• Data: 2019

Autores

Gonçalo das Neves Carneiro (Autor) FEUP; Carlos Alberto António (Autor) FEUP

Revista

Título: Structural Safety

Vol. 79

Páginas: 54-65

ISSN: 0167-4730

Editora: Elsevier

Indexação

ISI Web of Knowledge - 14 Citações

Scopus - 15 Citações

INSPEC

Outras Informações

ID Authenticus: P-00Q-AV4

DOI: 10.1016/j.strusafe.2019.03.001

Abstract (EN): With uncertainty, reliability assessment is fundamental in structural optimization, because optimization itself is often against safety. To avoid Monte Carlo methods, the Reliability Index Approach (RIA) approximates the structural failure probability and is formulated as a minimization problem, usually solved with fast gradient-methods, at the expense of local convergence, or even divergence, particularly for highly dimensional problems and implicit physical models. In this paper, a new procedure for global convergence of the RIA, with practical efficiency, is presented. Two novel evolutionary operators and a mixed real-binary genotype, suitable to hybridize any Evolutionary Algorithm with elitist strategy, are developed. As an example, a shell laminate structure is presented and the results validated, showing good convergence and efficiency. The proposed method is expected to set the basis for further developments on the design optimization of more complex structures with multiple failure criteria.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12