## Abstract The parameters of a constitutive model are usually identified by minimization of the distance between model response and experimental data. However, measurement failures and differences in the specimens lead to deviations in the determined parameters. In this article we present our resu
An Unified Computational Framework for Parameter Identification of Material Models in Finite Inelasticity
✍ Scribed by G. Scheday; C. Miehe
- Publisher
- John Wiley and Sons
- Year
- 2002
- Weight
- 705 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1617-7061
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
## Abstract In this contribution an algorithm for parameter identification of geometrically linear Terzaghi–Biot‐type fluid‐saturated porous media is proposed, in which non‐uniform distributions of the state variables such as stresses, strains and fluid pore pressure are taken into account. To this
In this contribution an algorithm for parameter identiÿcation of thermoelastic damage models is proposed, in which non-uniform distributions of the state variables such as stresses, strains, damage variables and temperature are taken into account. To this end a least-squares functional consisting of
## Abstract In this paper, we present the design of a generic agent‐based framework for distributed parametric analysis of numerical modelling problems on a network of workstations and its application in computational electromagnetics (CEM). The entire infrastructure is based on a Master–Worker par