S
Stephan Ohnimus
Researcher at Leibniz University of Hanover
Publications - 12
Citations - 351
Stephan Ohnimus is an academic researcher from Leibniz University of Hanover. The author has contributed to research in topics: Finite element method & Discretization. The author has an hindex of 7, co-authored 12 publications receiving 346 citations.
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Local error estimates of FEM for displacements and stresses in linear elasticity by solving local Neumann problems
TL;DR: In this article, two types of local error estimators for the primal finite-element method (FEM) by duality arguments are presented, first derived from the (explicit) residual error estimation method (REM) and then using improved boundary tractions, gained by local postprocessing with local Neumann problems, with applications in elastic problems.
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Anisotropic discretization- and model-error estimation in solid mechanics by local Neumann problems
Erwin Stein,Stephan Ohnimus +1 more
TL;DR: A survey of existing residuum-based error-estimators and error-indicators is given in this paper, where an alternative method for error estimation can be derived from a posteriori computed improved boundary tractions which provide exact equilibrium of elements.
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Coupled model- and solution-adaptivity in the finite-element method
Erwin Stein,Stephan Ohnimus +1 more
TL;DR: In this paper, a posterior equilibrium method (PEM) is proposed to calculate the interface tractions on local patches with Neumann boundary conditions, using orthogonality conditions.
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Error-controlled adaptive goal-oriented modeling and finite element approximations in elasticity
TL;DR: This paper extends both types of estimates to goal-oriented a posteriori error estimation within the framework of nonlinear structural mechanics, approaching a new paradigm in Computational Mechanics for achieving reliability and efficiency.
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Adaptive finite element analysis and modelling of solids and structures. Findings, problems and trends†
TL;DR: A critical review of available error-controlled adaptive finite element methods—with absolute global and goal-oriented error estimates—for approximate solutions of a given mathematical model and the model error of the considered Mathematical model and its dimensions, enhanced with the authors' own recent results in fracture mechanics.