Handle URI:
http://hdl.handle.net/10754/598982
Title:
Non-linear modeling of active biohybrid materials
Authors:
Paetsch, C.; Dorfmann, A.
Abstract:
Recent advances in engineered muscle tissue attached to a synthetic substrate motivate the development of appropriate constitutive and numerical models. Applications of active materials can be expanded by using robust, non-mammalian muscle cells, such as those of Manduca sexta. In this study, we propose a model to assist in the analysis of biohybrid constructs by generalizing a recently proposed constitutive law for Manduca muscle tissue. The continuum model accounts (i) for the stimulation of muscle fibers by introducing multiple stress-free reference configurations for the active and passive states and (ii) for the hysteretic response by specifying a pseudo-elastic energy function. A simple example representing uniaxial loading-unloading is used to validate and verify the characteristics of the model. Then, based on experimental data of muscular thin films, a more complex case shows the qualitative potential of Manduca muscle tissue in active biohybrid constructs. © 2013 Elsevier Ltd. All rights reserved.
Citation:
Paetsch C, Dorfmann A (2013) Non-linear modeling of active biohybrid materials. International Journal of Non-Linear Mechanics 56: 105–114. Available: http://dx.doi.org/10.1016/j.ijnonlinmec.2013.03.005.
Publisher:
Elsevier BV
Journal:
International Journal of Non-Linear Mechanics
KAUST Grant Number:
KUK-C1-013-04
Issue Date:
Nov-2013
DOI:
10.1016/j.ijnonlinmec.2013.03.005
Type:
Article
ISSN:
0020-7462
Sponsors:
This publication was based on work supported in part by Award No KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST). The work of C.P. was supported in part by the National Science Foundation IGERT Grant DGE-1144591.
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Full metadata record

DC FieldValue Language
dc.contributor.authorPaetsch, C.en
dc.contributor.authorDorfmann, A.en
dc.date.accessioned2016-02-25T13:50:33Zen
dc.date.available2016-02-25T13:50:33Zen
dc.date.issued2013-11en
dc.identifier.citationPaetsch C, Dorfmann A (2013) Non-linear modeling of active biohybrid materials. International Journal of Non-Linear Mechanics 56: 105–114. Available: http://dx.doi.org/10.1016/j.ijnonlinmec.2013.03.005.en
dc.identifier.issn0020-7462en
dc.identifier.doi10.1016/j.ijnonlinmec.2013.03.005en
dc.identifier.urihttp://hdl.handle.net/10754/598982en
dc.description.abstractRecent advances in engineered muscle tissue attached to a synthetic substrate motivate the development of appropriate constitutive and numerical models. Applications of active materials can be expanded by using robust, non-mammalian muscle cells, such as those of Manduca sexta. In this study, we propose a model to assist in the analysis of biohybrid constructs by generalizing a recently proposed constitutive law for Manduca muscle tissue. The continuum model accounts (i) for the stimulation of muscle fibers by introducing multiple stress-free reference configurations for the active and passive states and (ii) for the hysteretic response by specifying a pseudo-elastic energy function. A simple example representing uniaxial loading-unloading is used to validate and verify the characteristics of the model. Then, based on experimental data of muscular thin films, a more complex case shows the qualitative potential of Manduca muscle tissue in active biohybrid constructs. © 2013 Elsevier Ltd. All rights reserved.en
dc.description.sponsorshipThis publication was based on work supported in part by Award No KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST). The work of C.P. was supported in part by the National Science Foundation IGERT Grant DGE-1144591.en
dc.publisherElsevier BVen
dc.subjectActive tensionen
dc.subjectFinite deformationsen
dc.subjectMuscle tissueen
dc.subjectPseudo-elasticityen
dc.subjectTransverse isotropyen
dc.titleNon-linear modeling of active biohybrid materialsen
dc.typeArticleen
dc.identifier.journalInternational Journal of Non-Linear Mechanicsen
dc.contributor.institutionTufts University, Medford, United Statesen
kaust.grant.numberKUK-C1-013-04en
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