Key result
The Small On Large linearization method for fluid-structure interaction simulations reduced computational time by 47.9% compared to a fully non-linear model, while maintaining comparable stress estimations with relative errors below 10%.
Why the study?
Fluid-structure interaction simulations in the ascending thoracic aorta induce significant computational costs with hyperelastic anisotropic tissues, making reduced-order models desirable for precision medicine decision-making.
Does the SOL linearization method reduce computational costs while maintaining accuracy compared to non-linear FSI in patient-specific aTAA models?
Does the SOL linearization method reduce computational costs while maintaining accuracy compared to non-linear FSI in patient-specific aTAA models?
Effect estimate: 3.8% relative error
Absolute Event Rate: 0.25% vs 0.26%
p-value: p=0.32
The SOL linearization method significantly reduces computational time for fully-coupled FSI simulations of ascending thoracic aortic aneurysms while maintaining comparable stress distribution accuracy, potentially facilitating clinical translation.
FSI modeling may refine aortic hemodynamic assessment over rigid-wall CFD; leaves open clinical translation pending prospective validation.
Computational hemodynamics has become increasingly important within the context of precision medicine, providing major insight in cardiovascular pathologies. However, finding appropriate compromise between speed and accuracy remains challenging in computational hemodynamics for an extensive use in decision making. For example, in the ascending thoracic aorta, interactions between the blood and the aortic wall must be taken into account for the sake of accuracy, but these fluid structure interactions (FSI) induce significant computational costs, especially when the tissue exhibits a hyperelastic and anisotropic response. The objective of the current study is to use the Small On Large (SOL) theory to linearize the anisotropic hyperelastic behavior in order to propose a reduced-order model for FSI simulations of the aorta. The SOL method is tested for fully-coupled FSI simulations in a patient-specific aortic geometry presenting an Ascending Thoracic Aortic Aneurysm (aTAA). The same model is also simulated with a fully-coupled FSI with non-linear material behavior, without SOL linearization. Eventually, the results and computational times with and without the SOL are compared. The SOL approach is demonstrated to provide a significant reduction of computational costs for FSI analysis in the aTAA, and the results in terms of stress state distribution are comparable. The method is implemented in ANSYS and will be further evaluated for clinical applications.
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Vignali et al. (2021) studied Ascending Thoracic Aortic Aneurysm (aTAA) (n=1). Small On Large (SOL) linearization method for FSI simulation vs. Fully non-linear FSI simulation was evaluated on Average circumferential stress (σθθ) at peak systole (MPa) (3.8% relative error, p=0.32). The Small On Large linearization method for fluid-structure interaction simulations reduced computational time by 47.9% compared to a fully non-linear model, while maintaining comparable stress estimations with relative errors below 10%.
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