4 Result(s)
within
David Amsallem
English
Computational Science and Engineering
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Article
Open AccessAutomatised selection of load paths to construct reduced-order models in computational damage micromechanics: from dissipation-driven random selection to Bayesian optimization
In this paper, we present new reliable model order reduction strategies for computational micromechanics. The difficulties rely mainly upon the high dimensionality of the parameter space represented by any loa...
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Article
Open AccessPEBL-ROM: Projection-error based local reduced-order models
Projection-based model order reduction (MOR) using local subspaces is becoming an increasingly important topic in the context of the fast simulation of complex nonlinear models. Most approaches rely on multipl...
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Article
Open AccessRobust model reduction by \(L^{1}\) -norm minimization and approximation via dictionaries: application to nonlinear hyperbolic problems
We propose a novel model reduction approach for the approximation of non linear hyperbolic equations in the scalar and the system cases. The approach relies on an offline computation of a dictionary of solutio...
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Article
Fast local reduced basis updates for the efficient reduction of nonlinear systems with hyper-reduction
Projection-based model reduction techniques rely on the definition of a small dimensional subspace in which the solution is approximated. Using local subspaces reduces the dimensionality of each subspace and e...
