Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11928
Full metadata record
DC FieldValueLanguage
dc.contributor.authorStojanović, Boban-
dc.contributor.authorSvičević, Marina-
dc.contributor.authorKaplarević-Mališić, Ana-
dc.contributor.authorIvanović, Miloš-
dc.contributor.authorNedic D.-
dc.contributor.authorFilipovic, Nenad-
dc.contributor.authorMijailovich S.-
dc.date.accessioned2021-04-20T19:35:09Z-
dc.date.available2021-04-20T19:35:09Z-
dc.date.issued2015-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/11928-
dc.description.abstract© 2015 IEEE. In this paper we present a novel approach in multi-scale muscle modeling based on finite element method and Huxley crossbridge kinetics model. In order to determine the mechanical response of a muscle, we implement basic mechanical principles of motion of deformable bodies using finite element method. Constitutive properties of muscle are defined by the number of molecular interconnections between the myosin and actin filaments. To account for these effects, we used Huxley's micro model based on sliding filament theory to calculate muscle active forces and instantaneous stiffnesses in FE integration points. In order to run these computationally expensive simulations we have also developed a special parallelization strategy which gives speedup of two orders of magnitude. Results obtained using presented multi-scale model are compared to those obtained by Hill's phenomenological model.-
dc.rightsrestrictedAccess-
dc.source2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015-
dc.titleCoupling finite element and huxley models in multiscale muscle modeling-
dc.typeconferenceObject-
dc.identifier.doi10.1109/BIBE.2015.7367674-
dc.identifier.scopus2-s2.0-84962920848-
Appears in Collections:Faculty of Engineering, Kragujevac
Faculty of Science, Kragujevac

Page views(s)

237

Downloads(s)

17

Files in This Item:
File Description SizeFormat 
PaperMissing.pdf
  Restricted Access
29.86 kBAdobe PDFThumbnail
View/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.