Collaborative Research: Efficient algorithms for free boundary flows of complex fluids

合作研究：复杂流体自由边界流的高效算法

• 批准号: 1134731
• 负责人: Giovanna Guidoboni
• 金额: $ 6.53万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1134731&HistoricalAwards=false
• 关键词: Collaborative; Research; Efficient; algorithms; free

In engineered and biological systems, flows often involve complexity because of the shape of the flow domain which can be unknown, and because the fluid can consist of or contain macromolecules and nanoparticles which impart unusual behavior. This research aims at developing novel numerical algorithms for computing flows with such complexity. Because of their robustness and reliability, fully-coupled (monolithic/implicit) schemes are commonly used to simulate flows with free boundaries; however, these schemes may become impractical, especially in three-dimensional geometries and when the fluid has complex behavior, e.g., viscoelasticity. On the other hand, partitioned schemes have simpler implementation and potential lower computational cost, yet have shown severe stability issues when applied to highly nonlinear free boundary flows. This research will develop novel partitioned algorithms for free boundary flows of complex fluids which will combine good stability properties with low computational costs and ease of implementation.The novel algorithms developed in the project will be used to study and understand complex flows arising in biology, medicine, and engineering. Major applications include blood flow in human arteries, the optimization of coating processes, and the flow of emulsions which naturally occur in oil extraction. Multidisciplinary training will be incorporated in the research by joint advising of two PhD students in Applied Mathematics and Chemical Engineering. The outcomes of the proposed research will impact cyberinfrastructures through scientific computing, as well as other areas of complex fluid mechanics where computing plays a central and essential role.

在工程和生物系统中，流动通常涉及复杂性，因为流动域的形状可能是未知的，并且因为流体可以由赋予不寻常行为的大分子和纳米颗粒组成或包含它们。 本研究的目的是开发新的数值算法来计算这种复杂的流动。由于其鲁棒性和可靠性，全耦合（整体/隐式）格式通常用于模拟具有自由边界的流动;然而，这些格式可能变得不切实际，特别是在三维几何形状中以及当流体具有复杂行为时，例如，粘弹性另一方面，分区格式具有更简单的实现和潜在的较低的计算成本，但已显示出严重的稳定性问题时，应用于高度非线性的自由边界流。 本研究将开发出适用于复杂流体自由边界流动的新型分块算法，该算法将结合联合收割机良好的稳定性、低计算成本和易于实现的特性，该项目开发的新型算法将用于研究和理解生物、医学和工程中出现的复杂流动。主要应用包括人体动脉中的血液流动、涂层工艺的优化以及石油开采中自然发生的乳液流动。多学科培训将通过两名应用数学和化学工程博士生的联合建议纳入研究。 拟议研究的成果将通过科学计算影响网络基础设施，以及计算发挥核心和重要作用的复杂流体力学的其他领域。