Data-Driven Finite Element Models of Passive Filamentary Networks

A data-driven procedure is introduced to construct finite element models of heterogeneous systems for which an accurate microscopic description is available. A filter to define coarsened finite element nodal values is defined from the principal modes obtained by singular value decomposition of the m...

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Main Authors: Brian Adam, Sorin Mitran
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/6878265
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author Brian Adam
Sorin Mitran
author_facet Brian Adam
Sorin Mitran
author_sort Brian Adam
collection DOAJ
description A data-driven procedure is introduced to construct finite element models of heterogeneous systems for which an accurate microscopic description is available. A filter to define coarsened finite element nodal values is defined from the principal modes obtained by singular value decomposition of the microscopic data. The resulting finite element nodal values are subsequently used to reconstruct local linearization of the system behavior, defining drag and stiffness matrices for an overdamped system. The procedure is exemplified for an actin mesh described by Brownian dynamics and eight-node cuboid finite elements but is generally applicable with respect to both the microscopic model and the type of finite element approximation. In contrast to standard finite element formulations derived from hypotheses on assumed deformation behavior, the data-driven procedure introduced here is completely determined by the observed behavior be it obtained from simulations or experiment.
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series Complexity
spelling doaj-art-c811e9499dfb4307857cb3907a7d581d2025-02-03T01:32:50ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/68782656878265Data-Driven Finite Element Models of Passive Filamentary NetworksBrian Adam0Sorin Mitran1Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3250, USADepartment of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3250, USAA data-driven procedure is introduced to construct finite element models of heterogeneous systems for which an accurate microscopic description is available. A filter to define coarsened finite element nodal values is defined from the principal modes obtained by singular value decomposition of the microscopic data. The resulting finite element nodal values are subsequently used to reconstruct local linearization of the system behavior, defining drag and stiffness matrices for an overdamped system. The procedure is exemplified for an actin mesh described by Brownian dynamics and eight-node cuboid finite elements but is generally applicable with respect to both the microscopic model and the type of finite element approximation. In contrast to standard finite element formulations derived from hypotheses on assumed deformation behavior, the data-driven procedure introduced here is completely determined by the observed behavior be it obtained from simulations or experiment.http://dx.doi.org/10.1155/2018/6878265
spellingShingle Brian Adam
Sorin Mitran
Data-Driven Finite Element Models of Passive Filamentary Networks
Complexity
title Data-Driven Finite Element Models of Passive Filamentary Networks
title_full Data-Driven Finite Element Models of Passive Filamentary Networks
title_fullStr Data-Driven Finite Element Models of Passive Filamentary Networks
title_full_unstemmed Data-Driven Finite Element Models of Passive Filamentary Networks
title_short Data-Driven Finite Element Models of Passive Filamentary Networks
title_sort data driven finite element models of passive filamentary networks
url http://dx.doi.org/10.1155/2018/6878265
work_keys_str_mv AT brianadam datadrivenfiniteelementmodelsofpassivefilamentarynetworks
AT sorinmitran datadrivenfiniteelementmodelsofpassivefilamentarynetworks