The Effect of Computational Methods on Abdominal Aortic Aneurysm Stresses

Authors

  • Omar Altwijri Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh, KSA
  • Mahdi Al‐Qahtani Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh, KSA
  • Amir Altinawi Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh, KSA
  • Ravish Javed Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh, KSA
  • Ryan Alshehri Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh, KSA
  • Saud Aloshan Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh, KSA
  • Sultan Altaiwilai Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh, KSA

DOI:

https://doi.org/10.14738/bjhr.1206.19732

Keywords:

Abdominal Aortic Aneurysm, Finite Element Analysis, Mesh Topology, Peak Wall Stress

Abstract

Rupture of abdominal aortic aneurysms (AAA) remains a critical clinical concern, for which biomechanical metrics, particularly peak wall stress (PWS), are increasingly recognized as essential adjuncts to conventional diameter-based rupture risk criteria. Finite element analysis (FEA) provides a rigorous framework for estimating patient specific wall stresses, yet the fidelity and reproducibility of these estimates depend strongly on mesh design. This study systematically evaluates the influence of tetrahedral versus hexahedral elements on AAA wall stress using two patient-specific models implemented in ANSYS, with both configurations subjected to graded mesh refinement, identical boundary conditions, and uniform constitutive parameters to isolate element type effects. Tetrahedral meshes produced stable, repeatable PWS estimates with smooth numerical convergence across a wide range of element densities, whereas hexahedral meshes exhibited larger stress variability and stronger dependence on mesh resolution. Although hexahedral elements achieved superior geometric quality indices, they required substantially greater computational cost and showed less consistent stress convergence. Both formulations yielded comparable spatial patterns of wall stress, but tetrahedral meshes offered improved numerical robustness and computational efficiency. Overall, these findings support tetrahedral meshing as the more practical and reliable option for patient-specific AAA biomechanical workflows, particularly those prioritizing speed, automation, and clinical integration.

References

Nordon, I.M., et al., Pathophysiology and epidemiology of abdominal aortic aneurysms. 2011. 8(2): p. 92-102.

Fillinger, M.F., et al., In vivo analysis of mechanical wall stress and abdominal aortic aneurysm rupture risk. 2002. 36(3): p. 589-597.

Gasser, T.C.J.A., Biomechanical rupture risk assessment. 2016. 4(02): p. 42-60.

Alkhatib, F., et al., Computation for biomechanical analysis of aortic aneurysms: the importance of computational grid. 2024. 27(8): p. 994-1010.

Taylor, C.A. and C.J.A.r.o.b.e. Figueroa, Patient-specific modeling of cardiovascular mechanics. 2009. 11(1): p. 109-134.

Cifuentes, A., A.J.F.E.i.A. Kalbag, and Design, A performance study of tetrahedral and hexahedral elements in 3-D finite element structural analysis. 1992. 12(3-4): p. 313-318.

Joldes, G.R., et al., BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms. 2017. 7(1): p. 4641.

Alkhatib, F., et al. Generation of patient-specific structured hexahedral mesh of aortic aneurysm wall. in International Conference on Medical Image Computing and Computer-Assisted Intervention. 2021. Springer.

Jamshidian, M., et al., Kinematics of abdominal aortic Aneurysms. 2025. 179: p. 112484.

Kim, E.N., et al., CRP deposition in human abdominal aortic aneurysm is associated with transcriptome alterations toward aneurysmal pathogenesis: insights from in situ spatial whole transcriptomic analysis. 2024. 15: p. 1475051.

Aycan, O., A. Topuz, and L.J.M.R.C. Kadem, Evaluating uncertainties in CFD simulations of patient-specific aorta models using Grid Convergence Index method. 2023. 133: p. 104188.

Brozić, D., et al., Effect of dietary eicosapentaenoic and docosahexaenoic fatty acid supplementation during the last month of gestation on fatty acid metabolism and oxidative status in charolais cows and calves. 2024. 14(9): p. 1273.

Kyparissis, K., et al., Numerical Evaluation of Abdominal Aortic Aneurysms Utilizing Finite Element Method. 2025. 15(6): p. 697.

Downloads

Published

2025-12-21

How to Cite

Altwijri, O., Al‐Qahtani, M., Altinawi, A., Javed, R., Alshehri, R., Aloshan, S., & Altaiwilai, S. (2025). The Effect of Computational Methods on Abdominal Aortic Aneurysm Stresses. British Journal of Healthcare and Medical Research, 12(06), 160–166. https://doi.org/10.14738/bjhr.1206.19732

Most read articles by the same author(s)