Robust Shape Optimization for Artifical Blood Pumps: Hematological Design, Large-scale Transient Simulations, and Influence of Constitutive Models, Sensitivity Analysis

人工血泵的稳健形状优化：血液学设计、大规模瞬态模拟以及本构模型的影响、敏感性分析

• 批准号: 25250102
• 负责人: Professor Marek Behr, Ph.D.
• 金额: --
• 依托单位: Lehrstuhl für Computergestützte Analyse Technischer Systeme (CATS)
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2010-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/25250102?language=en
• 关键词: Robust; Shape; Optimization; Artifical; Blood

Analysis and design optimization of blood-handling mechanical devices, and in particular, miniature heart-assist blood pumps, presents a number of unique challenges. The micro-structural properties of blood affect both the choice of the design objectives, such as minimizing blood damage and clotting, and the choice of flow equations, which should account for the non-Newtonian nature of blood as a continuum. We propose to address, in the context of shape optimization of blood pumps, the issue of objective functions which can be correlated with the accumulation of blood damage along flow pathlines, and the influence of constitutive model (Newtonian, generalized Newtonian, and viscoelastic) on the optimal shapes. The entire optimization tool chain, based on analytically-derived sensitivities and adjoints, will be then subjected to sensitivity analysis with the help of automatic differentiation suitably adapted to the optimization procedure. It is expected that criteria for detecting inadequacies in constitutive modeling will be exemplified, e.g., by extreme sensitivity of the optimal shapes to model parameters. A sample shape optimization problem in an actual complex geometry of an axial blood pump is to be solved during this phase of the project.