doc. Dr. rer. nat. Ing. Jan Valdman

Publikace

Elastoplastic Deformations of Layered Structures

Autoři
Drozdenko, D.; Knapek, M.; Kružík, M.; Mathis, K.; Švadlenka, K.; Valdman, J.
Rok
2022
Publikováno
Milan Journal of Mathematics. 2022, 90(2), 691-706. ISSN 1424-9286.
Typ
Článek
Anotace
We formulate a large-strain model of single-slip crystal elastoplasticity in the framework of energetic solutions. The numerical performance of the model is compared with laboratory experiments on the compression of a stack of papers.

On the Application of the SCD Semismooth* Newton Method to Variational Inequalities of the Second Kind

Autoři
Gfrerer, H.; Outrata, J.; Valdman, J.
Rok
2022
Publikováno
Set-Valued and Variational Analysis. 2022, 30(4), 1453-1484. ISSN 1877-0533.
Typ
Článek
Anotace
The paper starts with a description of SCD (subspace containing derivative) mappings and the SCD semismooth* Newton method for the solution of general inclusions. This method is then applied to a class of variational inequalities of the second kind. As a result, one obtains an implementable algorithm which exhibits locally superlinear convergence. Thereafter we suggest several globally convergent hybrid algorithms in which one combines the SCD semismooth* Newton method with selected splitting algorithms for the solution of monotone variational inequalities. Finally, we demonstrate the efficiency of one of these methods via a Cournot-Nash equilibrium, modeled as a variational inequality of the second kind, where one admits really large numbers of players (firms) and produced commodities.

Vectorized MATLAB Implementation of the Incremental Minimization Principle for Rate-Independent Dissipative Solids Using FEM: A Constitutive Model of Shape Memory Alloys

Autoři
Frost, M.; Valdman, J.
Rok
2022
Publikováno
Mathematics. 2022, 10(23), 1-17. ISSN 2227-7390.
Typ
Článek
Anotace
The incremental energy minimization principle provides a compact variational formulation for evolutionary boundary problems based on constitutive models of rate-independent dissipative solids. In this work, we develop and implement a versatile computational tool for the resolution of these problems via the finite element method (FEM). The implementation is coded in the MATLAB programming language and benefits from vector operations, allowing all local energy contributions to be evaluated over all degrees of freedom at once. The monolithic solution scheme combined with gradient-based optimization methods is applied to the inherently nonlinear, non-smooth convex minimization problem. An advanced constitutive model for shape memory alloys, which features a strongly coupled rate-independent dissipation function and several constraints on internal variables, is implemented as a benchmark example. Numerical simulations demonstrate the capabilities of the computational tool, which is suited for the rapid development and testing of advanced constitutive laws of rate-independent dissipative solids.