Numerical Simulation of Stochastic Inverse Problems in Rigid-Poro-Plastic Materials
| Autor: | Andrzej Sluzalec |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Mathematical optimization
Computer simulation Computer science Applied Mathematics Monte Carlo method Computational Mechanics Plastic materials General Physics and Astronomy Statistical and Nonlinear Physics Inverse problem Finite element method Identification (information) Mechanics of Materials Modeling and Simulation Applied mathematics Stochastic optimization Engineering (miscellaneous) |
| Zdroj: | International Journal of Nonlinear Sciences and Numerical Simulation. 15:135-147 |
| ISSN: | 2191-0294 1565-1339 |
| DOI: | 10.1515/ijnsns-2013-0058 |
| Popis: | A numerical approach is presented for stochastic identification of rigid-poroplastic material model in forming processes. The numerical solutions for deterministic as well as stochastic direct and inverse problems have been described. The inverse problem is solved by the use of gradient based methods and a sensitivity analysis. The proposed direct and inverse formulation describes probabilistic distributions of material data and boundary conditions. Examples of numerical simulations concern a compression of rigid-poroplastic cylindrical specimen with random material parameter as well as poroplastic ring with random boundary conditions. The stochastic solutions are obtained by application of the Monte Carlo method. |
| Databáze: | OpenAIRE |
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