Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Computational modeling of cardiac tissue with strongly coupled electromechanics and orthotropic viscoelastic effects
Date
2014-03-14
Author
Cansiz, Baris
Dal, Hüsnü
Kaliske, Michael
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
150
views
0
downloads
Cite This
Modeling of complex mechanisms leading to the functioning of the heart has been an active field of research since decades. Difficulties associated with in vivo experiments motivate the utilization of computational models in order to gain a better appreciation of heart electromechanics. Although rate dependent behaviour of the orthotropic passive heart tissue has been comprehensively studied in the literature [1], effects of this phenomenon on fully coupled cardiac electromechanics are unrevealed yet. Therefore, this contribution is concerned with the investigation of viscous effects on the electromechanical response of the myocardium. To this end, we adopt the fully implicit finite element framework which strongly couples the mechanical and electrophysiological problem of the myocardium in a mono‐ and bi‐domain setting [2,3], respectively. Viscous effects, however, are consistently embedded into this framework by making use of the orthotropic viscoelastic material model for the passive myocardium, which considers different relaxation mechanisms for the different orientation directions [5]. The performance of the proposed model is assessed by comparing finite element simulations of spiral waves in heart tissue for elastic and viscoelastic formulations. We further investigate the influence of viscosity on the defibrillation phenomenon by means of the finite element formulation of bidomain electrophysiology.
URI
https://hdl.handle.net/11511/42329
DOI
https://doi.org/10.1002/pamm.201410047
Collections
Department of Mechanical Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
COMPUTATIONAL MECHANICS FOR SOFT BIOLOGICAL TISSUES
Altun, Cem; Dal, Hüsnü; Department of Mechanical Engineering (2023-1-17)
Computational biomechanics is an active research area, not only to understand the mechanisms behind the behaviours of biological tissues but also to develop medical techniques for surgeries, rehabilitations, and diseases. The thesis mainly composed of two parts namely, growth-induced instabilities and dispersion-type anisotropic viscoelasticity for soft biological tissues. In the first part of the thesis, planar growth-induced instabilities for a three-dimensional bilayer-type confined tissue is examined. F...
Contributions to the kinetic modeling of glycolytic pathway in yeast
Şahin, Ceylan; Hamamcı, Haluk; Department of Food Engineering (2009)
Being at the center of most metabolic pathways and also one of the best known pathways, the glycolytic pathway has been of interest to modeling studies. This study is composed of our attempts to model ethanolic fermentation by yeast through kinetic equations of glycolytic steps and its branches. Model was based totally on experimentally measured kinetics of enzymes and transport steps, either obtained in this study or from the literature. Effect of ethanol on enzyme activities was tested in the range of eth...
Computational modeling of coupled cardiac electromechanics incorporating cardiac dysfunctions
Berberoglu, Ezgi; Solmaz, H. Onur; Göktepe, Serdar (Elsevier BV, 2014-11-01)
Computational models have huge potential to improve our understanding of the coupled biological, electrical, and mechanical underpinning mechanisms of cardiac function and diseases. This contribution is concerned with the computational modeling of different cardiac dysfunctions related to the excitation-contraction coupling in the heart. To this end, the coupled problem of cardiac electromechanics is formulated through the conservation of linear momentum equation and the excitation equation formulated in th...
Computational modeling of chemo-electro-mechanical coupling: A novel implicit monolithic finite element approach
Wong, J.; Göktepe, Serdar; Kuhl, E. (Wiley, 2013-10-01)
Computational modeling of the human heart allows us to predict how chemical, electrical, and mechanical fields interact throughout a cardiac cycle. Pharmacological treatment of cardiac disease has advanced significantly over the past decades, yet it remains unclear how the local biochemistry of an individual heart cell translates into global cardiac function. Here, we propose a novel, unified strategy to simulate excitable biological systems across three biological scales. To discretize the governing chemic...
Computational modeling of growth: systemic and pulmonary hypertension in the heart
Rausch, M. K.; Dam, A.; Göktepe, Serdar; Abilez, O. J.; Kuhl, E. (2011-12-01)
We introduce a novel constitutive model for growing soft biological tissue and study its performance in two characteristic cases of mechanically induced wall thickening of the heart. We adopt the concept of an incompatible growth configuration introducing the multiplicative decomposition of the deformation gradient into an elastic and a growth part. The key feature of the model is the definition of the evolution equation for the growth tensor which we motivate by pressure-overload-induced sarcomerogenesis. ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Cansiz, H. Dal, and M. Kaliske, “Computational modeling of cardiac tissue with strongly coupled electromechanics and orthotropic viscoelastic effects,” 2014, vol. 14, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42329.