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Optimization of structures under material parameter uncertainty using evidence theory |
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| Authors: | S Salehghaffari E B Marin D J Bammann |
| Affiliation: | 1. Department of Aerospace Engineering , Mississippi State University , Starkville , USA;2. Center for Advanced Vehicular Systems (CAVS) , Mississippi State University , Starkville , USA;3. Center for Advanced Vehicular Systems (CAVS) , Mississippi State University , Starkville , USA |
| Abstract: | An evidence-based approach is developed for optimization of structural components under material parameter uncertainty. The approach is applied to evidence-based design optimization (EBDO) of externally stiffened circular tubes under axial impact load using an isotropic–elastic–plastic plasticity model to simulate dynamic material behaviour. Uncertainty modelling considers the changes in material parameters that are caused by variability in material properties as well as incertitude and errors in experimental data and procedure to determine the material parameters. Spatial variation of material parameters across the structural component is modelled using a field joint belief structure and propagated for the calculation of evidence-based objective function and design constraints. Surrogate models are used in both uncertainty propagation and solution of the optimization problem. The methodology and the solution to the EBDO example problem are presented and discussed. |
| Keywords: | evidence-based design optimization material parameter uncertainty field joint belief structure epistemic uncertainty energy-absorbing components |