Han Suyue, Schirmer Clemens M, Modarres-Sadeghi Yahya
Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA 01003, United States.
Department of Neurosurgery and Neuroscience Institute, Geisinger, Wilkes-Barre, PA 18711, United States; Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria.
J Biomech. 2020 Apr 16;103:109653. doi: 10.1016/j.jbiomech.2020.109653. Epub 2020 Jan 24.
We discuss a computationally-efficient numerical Reduced Order Model (ROM) for patient-specific cerebral aneurysms, which can be used to examine the rupture-related hemodynamic parameters over a range of relevant physiological flow parameters, rapidly. The ROMs were derived using a Proper Orthogonal Decomposition (POD) technique, which also took advantage of the method of Snapshot POD. Initially a series of Computational Fluid Dynamics(CFD) training runs were performed, which were subsequently improved using a QR-decomposition technique to satisfy the various boundary conditions in physiological flow problems. We used the obtained ROMs to study the influence of Pulsatility Index (PI) on a patient-specific aneurysm's Wall Shear Stress (WSS) and Oscillatory Shear Index (OSI). In addition, we discuss how each of the obtained high-energy POD modes represents a separate significant flow pattern that is believed to influence the aneurysm's WSS and OSI.
我们讨论了一种针对特定患者脑动脉瘤的计算效率高的数值降阶模型（ROM），它可用于快速检查一系列相关生理流动参数范围内与破裂相关的血流动力学参数。这些ROM是使用本征正交分解（POD）技术推导出来的，该技术还利用了快照POD方法。最初进行了一系列计算流体动力学（CFD）训练运行，随后使用QR分解技术进行改进，以满足生理流动问题中的各种边界条件。我们使用获得的ROM来研究脉动指数（PI）对特定患者动脉瘤的壁面切应力（WSS）和振荡切应力指数（OSI）的影响。此外，我们还讨论了每个获得的高能POD模式如何代表一种单独的重要流动模式，这种模式被认为会影响动脉瘤的WSS和OSI。
