ArbiLoMod, a Simulation Technique Designed for Arbitrary Local Modifications

Buhr A, Engwer C, Ohlberger M, Rave S

Research article (journal) | Peer reviewed

Abstract

Engineers manually optimizing a structure using Finite Element based simulation software often employ an iterative approach where in each iteration they change the structure slightly and resimulate. Standard Finite Element based simulation software is usually not well suited for this workflow, as it restarts in each iteration, even for tiny changes. In settings with complex local microstructure, where a fine mesh is required to capture the geometric detail, localized model reduction can improve this workflow. To this end, we introduce ArbiLoMod, a method which allows fast recomputation after arbitrary local modifications. It employs a domain decomposition and a localized form of the Reduced Basis Method for model order reduction. It assumes that the reduced basis on many of the unchanged domains can be reused after a localized change. The reduced model is adapted when necessary, steered by a localized error indicator. The global error introduced by the model order reduction is controlled by a robust and efficient localized a posteriori error estimator, certifying the quality of the result. We demonstrate ArbiLoMod for a coercive, parameterized example with changing structure.

Details about the publication

JournalSIAM Journal on Scientific Computing (SIAM J. Sci. Comput.)
Volume39
Issue4
StatusPublished
Release year2017
Language in which the publication is writtenEnglish
DOI10.1137/15M1054213
Link to the full texthttp://doi.org/10.1137/15M1054213

Authors from the University of Münster

Buhr, Andreas
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Engwer, Christian
Professorship for Applications of Partial Differential Equations
Ohlberger, Mario
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Center for Nonlinear Science
Center for Multiscale Theory and Computation
Rave, Stephan
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)