Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/3862
Título: Uncertainty propagation in inverse reliability-based design of composite structures
Autor: António, Carlos Conceição
Hoffbauer, Luisa N.
Palavras-chave: Composite structures
Uncertainty propagation
Inverse RBDO
Uniform Design Method
Artificial Neural Network
Monte Carlo simulation
Reliability index variability
Relative sensitivities
Data: 2010
Editora: Springer
Relatório da Série N.º: International Journal of Mechanics and Materials in Design; Vol. 6, Issue 1
Resumo: An approach for the analysis of uncertainty propagation in reliability-based design optimization of composite laminate structures is presented. Using the Uniform Design Method (UDM), a set of design points is generated over a domain centered on the mean reference values of the random variables. A methodology based on inverse optimal design of composite structures to achieve a specified reliability level is proposed, and the corresponding maximum load is outlined as a function of ply angle. Using the generated UDM design points as input/output patterns, an Artificial Neural Network (ANN) is developed based on an evolutionary learning process. Then, a Monte Carlo simulation using ANN development is performed to simulate the behavior of the critical Tsai number, structural reliability index, and their relative sensitivities as a function of the ply angle of laminates. The results are generated for uniformly distributed random variables on a domain centered on mean values. The statistical analysis of the results enables the study of the variability of the reliability index and its sensitivity relative to the ply angle. Numerical examples showing the utility of the approach for robust design of angle-ply laminates are presented.
Peer review: yes
URI: http://hdl.handle.net/10400.22/3862
ISSN: 1569-1713
1573-8841
Versão do Editor: http://link.springer.com/article/10.1007%2Fs10999-010-9123-5
Aparece nas colecções:ISEP – DMA – Artigos

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