Volume 19, Issue 10 (October 2019)                   Modares Mechanical Engineering 2019, 19(10): 2491-2498 | Back to browse issues page

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Torbati S, Daneshmehr A. Numerical Modeling of Concentric Left Ventricular Hypertrophy of the Human Heart. Modares Mechanical Engineering 2019; 19 (10) :2491-2498
URL: http://mme.modares.ac.ir/article-15-19547-en.html
1- School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran
2- School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran , daneshmehr@ut.ac.ir
Abstract:   (3650 Views)
Cardiovascular diseases are the major cause of death in industrialized countries. Recent attempts in computational modeling of the human heart in normal and diseased conditions made it possible to find a way to predict the behavior and test the cures virtually with less harm for the human body. Ventricular hypertrophy that occurs in response to blood pressure and volume overload in ventricles can change its property and function and finally lead to heart failure. In this research, concentric left ventricular hypertrophy of the human heart was modeled in silico. The left ventricle (LV) model was implemented into the commercial nonlinear finite elements (FE) software ABAQUS/STANDARD through the user-defined subroutine UMAT based on continuum mechanics. We tried to determine the fibers distribution with more accuracy and considered the fibers and sheets dispersion in the anisotropic hyperelastic growing model. When the ventricular pressure and the resultant wall stress increased, the sheet growth multiplier started to increase from the endocardium to the epicardium and the ventricular wall became thicker. Residual stresses were observed in the model after unloading. Sheet growth multiplier changes versus stress showed that sheet growth multiplier increased dramatically near the maximum pressure while the stress remained almost constant.
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Article Type: Original Research | Subject: Biomechanics
Received: 2018/04/28 | Accepted: 2019/02/23 | Published: 2019/10/22

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