This computational analysis predicts rupture risk in abdominal aortic aneurysms, indicating the importance of blood flow dynamics.
For sound signal‐based diagnosis and rupture prediction of abdominal aortic aneurysms (AAA), this study performs a physiological fluid flexible‐structure acoustic interaction (FfSAI) analysis for pulsatile blood‐flow using an in‐house solver. The presence of murmurs is computationally presented for the first time using a qualitative indicator of the acoustic signal. A pulsatile Newtonian blood‐flow at the inlet, with Womersley number = 16.5, is considered. For a fusiform (axisymmetric) AAA, a parametric FfSAI study is presented with various height () to diameter () ratios = 0.3, 0.5, 0.7, 1.0, and 1.2, and width () to diameter () ratios = 0.5 and 1.0. Vertical skin‐surface velocity () and rupture potential index () are calculated for different configurations. A significant 71% increase in cutoff frequencies of skin‐surface acoustic velocity is found with the variation of from 0.3 to 1.2—indicating phonoangiography‐based diagnosis as well as distinction of aneurysm levels. The proposed CFD‐based flow‐visualization indicates a vortex impingement on the aneurysm wall as the primary cause of high cutoff frequencies in the acoustic spectrum. A correlation is proposed to calculate rupture‐risk through frequency data based on and spectrum. The decibel values predicted by neglecting structural flexibility over‐predict the bulge level (1)—emphasizing the importance of arterial compliance in a computational study. This work establishes the efficacy of phonoangiography‐based diagnosis in assisting medical practitioners with treatment planning and underscores the necessity of using an elastic model for structure.
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Morab et al. (2026) studied this question.
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