期刊
JOURNAL OF ENGINEERING MATHEMATICS
卷 88, 期 1, 页码 99-119出版社
SPRINGER
DOI: 10.1007/s10665-013-9681-2
关键词
Automatic differentiation; Constitutive modelling; Hyperelastic-plasticity; Model identification; Optimization
资金
- German Research Foundation (DFG) through the cluster of excellence [EXC128, HE5386/8-1]
- RWTH Aachen University through ERS Seedfunds
We propose a method of identifying constitutive models and material parameters in engineering applications. The presented method is used in the setting of optimal experimental design and is based on successive optimization of a finite set of possible material models. The goal is, for an initially unknown material, to define an optimal test bed based on a given set of constitutive models and a range of possible parameters. As a result of the algorithm, suitable observation operators and external loads are identified. These are then the optimal experimental conditions under which the parameters of the unknown material are tested.
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