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hp-FEM electromechanical transduction model of ionic polymer metal composites

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    SYSNO ASEP0439924
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    Titlehp-FEM electromechanical transduction model of ionic polymer metal composites
    Author(s) Pugal, D. (US)
    Šolín, Pavel (UT-L) RID
    Kim, K. (US)
    Aabloo, A. (EE)
    Source TitleJournal of Computational and Applied Mathematics. - : Elsevier - ISSN 0377-0427
    Roč. 260, April (2014), s. 135-148
    Number of pages14 s.
    Publication formPrint - P
    Languageeng - English
    CountryNL - Netherlands
    Keywordshp-FEM ; Nernst-Planck ; Poisson
    Subject RIVJA - Electronics ; Optoelectronics, Electrical Engineering
    R&D ProjectsGAP102/11/0498 GA ČR - Czech Science Foundation (CSF)
    Institutional supportUT-L - RVO:61388998
    UT WOS000330821800011
    EID SCOPUS84886675178
    DOI10.1016/j.cam.2013.09.011
    AnnotationWe propose a mathematically explicit model of ionic polymer–metal composite (IPMC) materials that consist of a coupled system of Poisson–Nernst–Planck–Euler equations, discretized by means of adaptive higher-order finite element methods (hp-FEM). We show that due to the transient character of the problem and different fields in terms of the locations of field gradients in the domain it is efficient to use adaptive algorithms that are capable of changing the mesh dynamically in time. We also show that due to large qualitative and quantitative differences between the four solution components–cation concentration, electric potential, x-directional displacement, and y-directional displacement – it is efficient to approximate them on different meshes using a novel adaptive multi-mesh hp-FEM. The study is accompanied with computations and comparisons of the adaptive multi-mesh hp-FEM with a number of adaptive FEM algorithms.
    WorkplaceInstitute of Thermomechanics
    ContactMarie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823
    Year of Publishing2015
Number of the records: 1  

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