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               <dc:title>A computational framework for large strain electromechanics of electro-visco-hyperelastic beams</dc:title>
               <dc:creator>Firouzi, Nasser</dc:creator>
               <dc:creator>Rabczuk, Timon</dc:creator>
               <dc:creator>Bonet Carbonell, Javier</dc:creator>
               <dc:creator>Zur, Krzysztof Kamil</dc:creator>
               <dc:subject>Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures</dc:subject>
               <dc:subject>Viscoelasticity</dc:subject>
               <dc:subject>Electro active polymers</dc:subject>
               <dc:subject>Dielectric elastomers</dc:subject>
               <dc:subject>Beams</dc:subject>
               <dc:subject>Viscoelasticity</dc:subject>
               <dc:subject>Electromechanics</dc:subject>
               <dc:subject>Finite element method</dc:subject>
               <dc:subject>Viscoelasticitat</dc:subject>
               <dc:description>In this paper, a new framework for large strain of electro-active viscoelastic polymeric beams is developed. The kinematical quantities of beam are derived, and then the constitutive equations of electromechanical beam are developed. To expand the formulation to viscoelastic regime, a generalization of quasi-linear viscoelasticity theory for electo-mechanical deformation is developed and called electro-mechanical quasi-linear viscoelastic (EM-QLV) theory. To deal with highly nonlinear formulation, a finite element formulation in Total Lagrangian framework is derived. Finally, to examine the applicability of the proposed model, several examples are presented and compared with the results in the literature.</dc:description>
               <dc:description>The third author acknowledges the financial support received via project POTENTIAL (PID2022-141957OB-C21) funded by MCIN/AEI/10.13039/501100011033/FEDER.</dc:description>
               <dc:description>Peer Reviewed</dc:description>
               <dc:description>Postprint (published version)</dc:description>
               <dc:date>2024-06</dc:date>
               <dc:type>Article</dc:type>
               <dc:relation>https://www.sciencedirect.com/science/article/pii/S004578252400241X</dc:relation>
               <dc:relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-141957OB-C21/ES/INGENIERIA COMPUTACIONAL BASADA EN DATOS PARA ACTUACION FLEXIBLE/</dc:relation>
               <dc:rights>http://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
               <dc:rights>Open Access</dc:rights>
               <dc:rights>Attribution-NonCommercial 4.0 International</dc:rights>
               <dc:publisher>Elsevier</dc:publisher>
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