ArticleAnnals of biomedical engineering2026
Efficient Multi-Fidelity Fluid-Structure Interaction Modeling for Pulsatile Blood Flow in Deformable Biological Tissues.
Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeSimulating tissue deformation and flow alterations induced by external compression typically requires fluid-structure interaction (FSI) analysis, which is computationally demanding. This study presents a multi-fidelity FSI framework that efficiently captures tissue mechanics and hemodynamic responses to dynamic external pressure and demonstrates its applicability to compression therapy.
methodsWe developed an FSI model that couples a one-dimensional deformable blood flow formulation with the three-dimensional (3D) Cauchy equation of motion. Model performance was evaluated by comparing the multi-fidelity and full FSI solutions in simplified cylindrical and subject-specific geometries. As a practical demonstration, the framework was applied to simulate a full-cycle pulsatile intermittent pneumatic compression (IPC) operation.
resultsThe model efficiently reproduced tissue deformation and hemodynamic changes under external compression, yielding <1% flow-rate error in both geometries and <2% pressure error in the simplified geometry for most of the cycle, with good agreement in the subject-specific geometry. Computational cost was reduced by a factor of 9 in the cylindrical geometry and 46 in the subject-specific geometry relative to full 3D FSI. In the IPC application, the model captured dynamic behavior over an extended temporal scale, completing a full cycle in 457 s for the simplified geometry and 42.2 min for the subject-specific geometry.
conclusionThis multi-fidelity FSI framework enables efficient and accurate simulation of tissue deformation and hemodynamic responses under external pressure, providing a tractable platform for large-scale parametric and optimization studies. Its application to IPC highlights potential to enhance therapeutic device design and support broader applications in biomedical modeling and medical device development.
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