## SUMMARY The solution of problems in computational fluid dynamics (CFD) represents a classical field for the application of advanced numerical methods. Many different approaches were developed over the years to address CFD applications. Good examples are finite volumes, finite differences (FD), a
Implementation of an elastoplastic solver based on the Moreau–Yosida Theorem
✍ Scribed by Peter Gruber; Jan Valdman
- Book ID
- 104042316
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 275 KB
- Volume
- 76
- Category
- Article
- ISSN
- 0378-4754
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✦ Synopsis
We discuss a technique for solving elastoplastic problems with hardening. The one time-step elastoplastic problem can be formulated as a convex minimization problem with a continuous but non-smooth objective. We actually show that its objective structure satisfies conditions of the Moreau-Yosida Theorem known from convex analysis. Therefore, the substitution of the nonsmooth plastic-strain p as a function of the total strain ε(u) yields an already smooth functional in the displacement u only. The second derivative of such functional exists in all continuum points apart from interfaces where elastic and plastic zones intersect. The numerical experiment states super-linear convergence of a Newton method or even quadratic convergence as long as the interface is detected sufficiently.
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