Uncertainty propagation in inverse reliability-based design of composite structures
Analysis of uncertainty propagation in Reliability-Based Design Optimization (RBDO) of composite laminate structures is presented. Using the Uniform Design Method (UDM) a set of design points is generated over a domain centred on the mean values of the random variables aiming to study the space vari...
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| Formato: | book |
| Idioma: | eng |
| Publicado em: |
2009
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| Texto completo: | https://hdl.handle.net/10216/101793 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/101793 |
| Resumo: | Analysis of uncertainty propagation in Reliability-Based Design Optimization (RBDO) of composite laminate structures is presented. Using the Uniform Design Method (UDM) a set of design points is generated over a domain centred on the mean values of the random variables aiming to study the space variability. An approach based on 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 Networks (ANN) is developed. The developed ANN and a Monte Carlo procedure are used to analyse the variance of structural reliability index and their relative sensitivities as a function of ply angle. Numerical examples showing the utility of the approach applied to angle-ply laminates are presented. |
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