Currently displaying 1 – 3 of 3

Showing per page

Order by Relevance | Title | Year of publication

Numerical analysis of a relaxed variational model of hysteresis in two-phase solids

Carsten CarstensenPetr Plecháč — 2001

ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique

This paper presents the numerical analysis for a variational formulation of rate-independent phase transformations in elastic solids due to Mielke et al. The new model itself suggests an implicit time-discretization which is combined with the finite element method in space. A priori error estimates are established for the quasioptimal spatial approximation of the stress field within one time-step. A posteriori error estimates motivate an adaptive mesh-refining algorithm for efficient...

Numerical Analysis of a Relaxed Variational Model of Hysteresis in Two-Phase Solids

Carsten CarstensenPetr Plecháč — 2010

ESAIM: Mathematical Modelling and Numerical Analysis

This paper presents the numerical analysis for a variational formulation of rate-independent phase transformations in elastic solids due to Mielke The new model itself suggests an implicit time-discretization which is combined with the finite element method in space. error estimates are established for the quasioptimal spatial approximation of the stress field within one time-step. error estimates motivate an adaptive mesh-refining algorithm for efficient discretization. The proposed...

Coarse-graining schemes and error estimates for stochastic lattice systems

Markos A. KatsoulakisPetr PlecháčLuc Rey-BelletDimitrios K. Tsagkarogiannis — 2007

ESAIM: Mathematical Modelling and Numerical Analysis

The primary objective of this work is to develop coarse-graining schemes for stochastic many-body microscopic models and quantify their effectiveness in terms of and error analysis. In this paper we focus on stochastic lattice systems of interacting particles at equilibrium. The proposed algorithms are derived from an initial coarse-grained approximation that is directly computable by Monte Carlo simulations, and the corresponding numerical error is calculated using the specific relative entropy...

Page 1

Download Results (CSV)