Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/3482
Título: Uncertainty assessment approach for composite structures based on global sensitivity indices
Autor: António, Carlos Conceição
Hoffbauer, Luisa N.
Palavras-chave: Uncertainty
Reliability
Composites
Global sensitivity
Sobol indices
ANN-MCS
Data: 2013
Editora: Elsevier
Relatório da Série N.º: Composite Structures; Vol. 99
Resumo: The problem of uncertainty propagation in composite laminate structures is studied. An approach based on the optimal design of composite structures to achieve a target reliability level is proposed. Using the Uniform Design Method (UDM), a set of design points is generated over a design domain centred at mean values of random variables, aimed at studying the space variability. The most critical Tsai number, the structural reliability index and the sensitivities are obtained for each UDM design point, using the maximum load obtained from optimal design search. Using the UDM design points as input/output patterns, an Artificial Neural Network (ANN) is developed based on supervised evolutionary learning. Finally, using the developed ANN a Monte Carlo simulation procedure is implemented and the variability of the structural response based on global sensitivity analysis (GSA) is studied. The GSA is based on the first order Sobol indices and relative sensitivities. An appropriate GSA algorithm aiming to obtain Sobol indices is proposed. The most important sources of uncertainty are identified.
URI: http://hdl.handle.net/10400.22/3482
ISSN: 0263-8223
Versão do Editor: http://www.sciencedirect.com/science/article/pii/S0263822312005880
Aparece nas colecções:ISEP – DMA – Artigos

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