Finite Element Modeling and Simulation of Arteries in the Human Arm to Study the Aortic Pulse Wave Propagation
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Finite modelling and simulation of the arterial network in the human arm has been presented in this paper with an objective to study the aortic pulse wave propagation. In the biomedical domain, it becomes extremely essential to understand the propagation of the aortic pulse along the arterial network, to get a better insight about the functioning of the cardiovascular system. This would assist in haemodynamic measurements, diagnosing disorders and visualizing the effect of medical treatment. The fluid structure interaction has been simulated using COMSOL Multiphysics 4.4 with an objective to obtain the pressure, velocity profile of the aortic pulse and wall shear stresses at the ascending aorta, carotid, brachial, interosseous, ulnar and radial artery. The arterial walls are considered flexible and pulsatile pressure pulse has been used as boundary condition. The validity of the finite element simulation has been supported by comparing the numerical results to the standard published results.
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Vessel walls experience 10-20% diametral strain.
“Vessel walls have been reported to experience 10–20% diametral strain52,53.”
From Synthetic photoplethysmography (PPG) of the radial artery through parallelized Monte Carlo and its correlation to body mass index (BMI) (2021) · cites this paper as [53]
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Cites
Alastruey, J., Parker, K. H., Peiró, J., et al. (2006) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2006.07.008 · Cited by 441 · see citing works
Pulse Wave Propagation in the Arterial Tree
van de Vosse, F. N., & Stergiopulos, N. (2011) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-122109-160730 · Cited by 385 · see citing works
Drazin, P. G., & Riley, N. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511526459 · Cited by 359 · see citing works
Wave propagation in a model of the arterial circulation
Wang, J. J., & Parker, K. H. (2003) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2003.09.007 · Cited by 267 · see citing works
Razavi, A., Shirani, E., & Sadeghi, M. R. (2011) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2011.04.023 · Cited by 259 · see citing works
Dynamics of the Vascular System
Li, J. K. ‐. (2004) · Series on bioengineering and biomedical engineering · doi:10.1142/4923 · Cited by 149 · see citing works
Alastruey, J., Moore, S., Parker, K. H., et al. (2007) · International Journal for Numerical Methods in Fluids · doi:10.1002/fld.1606 · Cited by 120 · see citing works
Mathematical modeling of pulsatile flow of non-Newtonian fluid in stenosed arteries
Sankar, D. S., & Lee, U. (2008) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2008.10.015 · Cited by 100 · see citing works
Power law fluid model for blood flow through a tapered artery with a stenosis
Nadeem, S., Akbar, N. S., Hendi, A. A., et al. (2011) · Applied Mathematics and Computation · doi:10.1016/j.amc.2011.01.026 · Cited by 95 · see citing works
Mathematical modelling of pulsatile flow of Casson’s fluid in arterial stenosis
Siddiqui, S. U., Verma, N. K., Mishra, S., et al. (2007) · Applied Mathematics and Computation · doi:10.1016/j.amc.2007.05.070 · Cited by 88 · see citing works
Simulation of a pulsatile non-Newtonian flow past a stenosed 2D artery with atherosclerosis
Tian, F.-B., Zhu, L., Fok, P., & Lu, X. (2013) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2013.05.023 · Cited by 77 · see citing works
Cassot, F., Zagzoule, M., & Marc-Vergnes, J. P. (2000) · Journal of Biomechanics · doi:10.1016/s0021-9290(99)00193-1 · Cited by 65 · see citing works
A Circle of Willis Simulation Using Distensible Vessels and Pulsatile Flow
Kufahl, R., & Clark, M. E. (1985) · Journal of Biomechanical Engineering · doi:10.1115/1.3138531 · Cited by 63 · see citing works
Measuring Wall Shear Stress Using Velocity-Encoded MRI
Potters, W. V., Marquering, H. A., VanBavel, E., et al. (2014) · Current Cardiovascular Imaging Reports · doi:10.1007/s12410-014-9257-1 · Cited by 57 · see citing works
Pulsatile Non-Newtonian Blood Flow through a Model of Arterial Stenosis
Rabby, M. G., Razzak, A., & Molla, M. M. (2013) · Procedia Engineering · doi:10.1016/j.proeng.2013.03.111 · Cited by 47 · see citing works
Diffusion Tensor MRI of the Heart – In Vivo Imaging of Myocardial Fiber Architecture
Froeling, M., Strijkers, G. J., Nederveen, A. J., Chamuleau, S. A. J., & Luijten, P. R. (2014) · Current Cardiovascular Imaging Reports · doi:10.1007/s12410-014-9276-y · Cited by 37 · see citing works
Fojas, J. J. R., & de Leon, R. L. (2013) · APCBEE Procedia · doi:10.1016/j.apcbee.2013.08.017 · Cited by 25 · see citing works
Mortazavinia, Z., Zare, A., & Mehdizadeh, A. (2012) · Applied Mathematics and Mechanics · doi:10.1007/s10483-012-1541-6 · Cited by 23 · see citing works
Pieles, G. E., Szantho, G. V., Rodrigues, J. C. L., Lawton, C. B., Stuart, G., Bucciarelli‐Ducci, C., Turner, M., Williams, C. A., Tulloh, R. M. R., & Hamilton, M. C. K. (2014) · European Journal of Applied Physiology · doi:10.1007/s00421-014-2833-x · Cited by 12 · see citing works
Modeling, Analysis and Computation of Fluid Structure Interaction Models for Biological Systems
Venuti, S. M. (2010) · SIAM Undergraduate Research Online · doi:10.1137/09s010496 · Cited by 10 · see citing works
Measurement of Cardiac Output using Bioimpedance Method
Choudhari, P. C., & Panse, M. S. (2013) · Cited by 7 · see citing works
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Research works printed but not linked: 3
- Marieb, Elaine Nicpon, and Katja Hoehn, Human anatomy & physiology, 5 th ed., Pearson Education, 2007.
- Khurana, Indu , Textbook of human physiology for dental students,2 nd ed., Elsevier Health Sciences, 2014.
- Tortora, Gerard J., Derrickson, Bryan, The Cardiovascular System: Blood Vessels and Hemodynamics, in Principles of Anatomy & Physiology (13th ed.). John Wiley & Sons, 2012.
Cited by
Sorted by citations
Boonya-ananta, T., Rodriguez, A. J., Ajmal, A., Du Le, V. N., Hansen, A. K., Hutcheson, J. D., & Ramella-Roman, J. C. (2021) · Scientific Reports · doi:10.1038/s41598-021-82124-4 · Cited by 70 · see citing works
- Authors
- Choudhari, P., & Panse, M. S.
- Corresponding author
- Choudhari, Pranali
- ORCID
- Choudhari, Pranali
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2016
- Volume
- 93
- Pages
- 721-727
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W2515614525
- Cited by
- 28
- References
- 21
- Citations by year
- 2026: 1 · 2025: 9 · 2024: 1 · 2023: 3 · 2022: 4 · 2021: 3 · 2019: 3 · 2017: 4
- FWCI
- 4.67
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Computer Science (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Elasticity and Material Modeling
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Physical Sciences › Engineering › Computational Mechanics › Advanced Numerical Methods in Computational Mathematics
- Keywords
- arterial networks, fluid-structure interaction, wall shear stress, hemodynamics, ascending aorta, carotid artery, brachial artery, interosseous artery
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