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NUMERICAL ANALYSIS OF BLOOD VESSEL CONSTRICTION DUE TO ATHEROSCLEROSIS DISEASE USING FINITE VOLUME METHOD

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 19 No. 4 (2025) · pp. 2661–2678

DOI
10.30598/barekengvol19iss4pp2661-2678
ISSN
2615-3017, 1978-7227
Published
2025-09-01
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Atherosclerosis is a leading cause of coronary heart disease. This study analyses how elliptically shaped stenoses alter blood-flow velocity in coronary arteries. The governing equations are discretised with the finite-volume method, coupling pressure and velocity through the SIMPLE (Semi-Implicit Method for Pressure-Linked Equations) algorithm and accelerating convergence with the Successive Over-Relaxation (SOR) technique. A weighted Gauss–Seidel iteration whose over-relaxation factor ( in this work) damps low-frequency error modes, cutting the number of iterations needed for residuals to fall below 10⁻⁴ by roughly 40 % compared with the standard Gauss–Seidel scheme. Simulations of 30 %, 50 %, and 70 % constrictions were carried out in MATLAB R2013a and ANSYS Fluent. Quantitative and qualitative cross-validation of the two software packages confirmed consistent velocity and pressure fields, though minor discrepancies arose from differing numerical schemes and model assumptions, underscoring the need for experimental verification. The highest centre-line velocity occurred at 70 % stenosis—0.72075 m/s in MATLAB versus 0.90 m/s in Fluent—while the lowest was recorded at 30 %. Velocity–pressure profiles showed that increasing inlet velocity or degree of narrowing elevates velocity but decreases pressure, with the largest drop (11492.4 Pa in MATLAB; 11747.32 Pa in Fluent) again at 70% stenosis. Study limitations include modelling blood as a Newtonian fluid and idealising arterial geometry; future work should incorporate non-Newtonian rheology and patient-specific shapes to enhance physiological accuracy.

Collaboration network of the authors

40 authors · 141 co-authorship links · 5 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Halu Oleo
  • Universitas Jember
  • Institut Agama Islam Negeri Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Arika Indah KristianaAffiliation unknown6
Dafik DafikUniversitas Jember5
Andi NurmasUniversitas Halu Oleo3
Muhammad Arief DirgantoroUniversitas Halu Oleo3
Susi SetiawaniAffiliation unknown3
La Ode SafuanUniversitas Halu Oleo2
Waode Siti Anima HiseinUniversitas Halu Oleo2
AGUNG YUSWANAUniversitas Halu Oleo2
TERRY PAKKIUniversitas Halu Oleo2
Namriah NamriahUniversitas Halu Oleo2
Rafiantika Megahnia PrihandiniAffiliation unknown2
Alfiani Dyah PratiwiAffiliation unknown2
IMRAN SUBAIRUniversitas Halu Oleo1
SULWAN SULWANAffiliation unknown1
TRESJIA CORINA RAKIANAffiliation unknown1
Idrus SalamUniversitas Halu Oleo1
Agustono SlametUniversitas Halu Oleo1
MUSLIMAH MUSLIMAHAffiliation unknown1
FATKUR RAHMANUniversitas Halu Oleo1
I GUSTI RAY SADIMANTARAUniversitas Halu Oleo1
Sitti NurhalimahInstitut Agama Islam Negeri Kendari1
Tresjia Corina RakianUniversitas Halu Oleo1
Sitti LeomoUniversitas Halu Oleo1
Laode Muh. Harjoni KWAffiliation unknown1
Musadia AfaAffiliation unknown1
Nini Mila RahniUniversitas Halu Oleo1
LA KARIMUNAUniversitas Halu Oleo1
REZKI MUSAHIDINAffiliation unknown1
D DafikAffiliation unknown1
Putri Nur AmalinaAffiliation unknown1
Muslihatul AimaAffiliation unknown1
Nira Nityasa SarantaAffiliation unknown1
Antonius CahyaPrihandokoAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">NUMERICAL ANALYSIS OF BLOOD VESSEL CONSTRICTION DUE TO ATHEROSCLEROSIS DISEASE USING FINITE VOLUME METHOD</dc:title>
	<dc:creator>Fatahillah, Arif</dc:creator>
	<dc:creator>Mubarokah, Umi</dc:creator>
	<dc:creator>Megahnia Prihandini, Rafiantika</dc:creator>
	<dc:creator>Wihardjo, Edy</dc:creator>
	<dc:creator>Adawiyah, Robiatul</dc:creator>
	<dc:creator>Hussen, Saddam</dc:creator>
	<dc:creator>Monalisa, Lioni Anka</dc:creator>
	<dc:description xml:lang="en-US">Atherosclerosis is a leading cause of coronary heart disease. This study analyses how elliptically shaped stenoses alter blood-flow velocity in coronary arteries. The governing equations are discretised with the finite-volume method, coupling pressure and velocity through the SIMPLE (Semi-Implicit Method for Pressure-Linked Equations) algorithm and accelerating convergence with the Successive Over-Relaxation (SOR) technique. A weighted Gauss–Seidel iteration whose over-relaxation factor ( &amp;nbsp;in this work) damps low-frequency error modes, cutting the number of iterations needed for residuals to fall below 10⁻⁴ by roughly 40 % compared with the standard Gauss–Seidel scheme. Simulations of 30 %, 50 %, and 70 % constrictions were carried out in MATLAB R2013a and ANSYS Fluent. Quantitative and qualitative cross-validation of the two software packages confirmed consistent velocity and pressure fields, though minor discrepancies arose from differing numerical schemes and model assumptions, underscoring the need for experimental verification. The highest centre-line velocity occurred at 70 % stenosis—0.72075 m/s in MATLAB versus 0.90 m/s in Fluent—while the lowest was recorded at 30 %. Velocity–pressure profiles showed that increasing inlet velocity or degree of narrowing elevates velocity but decreases pressure, with the largest drop (11492.4 Pa in MATLAB; 11747.32 Pa in Fluent) again at 70% stenosis. Study limitations include modelling blood as a Newtonian fluid and idealising arterial geometry; future work should incorporate non-Newtonian rheology and patient-specific shapes to enhance physiological accuracy.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2025-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17649</dc:identifier>
	<dc:identifier>10.30598/barekengvol19iss4pp2661-2678</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application; 2661-2678</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol19iss4year2025</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17649/11134</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Arif Fatahillah, Umi Mubarokah, Rafiantika Megahnia Prihandini, Edy Wihardjo, Robiatul Adawiyah, Saddam Hussen, Lioni Anka Monalisa</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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