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      Towards a stable and fast dynamic skeletal muscle model

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      1 , * , , 2 , 1
      ScienceOpen Posters
      ScienceOpen
      dynamic, nonlinear, DAE, MOR, POD
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            Abstract

            Forward simulations of three-dimensional, continuum-mechanical skeletal muscle models are computationally demanding and expensive. To adequately represent the muscles’ mechanical behaviour, a fully dynamic modelling framework based on the theory of finite hyperelasticity, which accounts for the highly nonlinear, anisotropic, viscoelastic and incompressible material behaviour, needs to be established. Discretisation of the governing equations yields a nonlinear second-order differential algebraic equation (DAE) system, which represents a challenge for solution strategies as well as for the application of model order reduction techniques. In this contribution, we will compare different solution strategies (DAE index reduction, different solvers) as well as the performance of reduced order models obtained by means of Galerkin and Petrov-Galerkin projection using different projection and test spaces.

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            Author and article information

            Journal
            ScienceOpen Posters
            ScienceOpen
            27 April 2018
            Affiliations
            [1 ]University of Stuttgart, Institute of Applied Mechanics
            [2 ]University of Stuttgart, Institute of Applied Analysis and Numerical Simulation
            [* ]Correspondence: mylena.mordhorst@ 123456mechbau.uni-stuttgart.de
            Article
            10.14293/P2199-8442.1.SOP-MATH.MTLYBN.v1
            ef78d952-9e76-4f8a-bd6d-1caf6262870c
            Copyright © 2018

            This work has been published open access under Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com.

            History

            Applied mathematics,Applications,Statistics,Data analysis,Mathematics,Mathematical modeling & Computation
            dynamic,MOR,nonlinear,POD,DAE

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