Investigating Stochastic Sensitivity to Solve Multidisciplinary Shape Optimization in Stamping, INRIA Sophia Antipolis, France
Description
Stamping simulation, as are all the highly nonlinear mechanical
models, is ravenous in computational resources. Thus, when performing
shape or parameter optimization of a single or /a fortiori/ multiple
criteria related to the stamping process, one has to save as many as
possible computer evaluations of the solution fields, which prohibits a
naive use of classical zero-order algorithms beit deterministic or
probabilistic.