Collaborative Research: Petascale algorithms for multi-body, fluid-structure interactions in viscous incompressible flows

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。这项合作研究的主要目标是开发适用于层流和湍流中多体，流体-结构相互作用的千万亿次工具。流体流动与动态、复杂形状、运动边界相互作用的数值模拟是计算力学中最具挑战性的问题之一。在不久的将来，Petascale机器可以解决涉及数百万个可变形物体相互作用的大规模流体问题，但涉及两个重大挑战：i）在每个核心具有小内存的多核处理节点上实现高性能，以及ii）开发策略以解决由于处理元件数量庞大而导致的负载平衡和缩放的复杂性。在拟议的工作中，来自马里兰州大学和芝加哥大学的一个多学科团队，在计算力学，多尺度建模和并行计算方面的专业知识将解决上述问题，并开发可扩展的算法和软件。PI将直接针对可变形颗粒的稠密悬浮液中的应用，例如来自第一原理的全血模拟。拟议的工作将提供给更广泛的计算力学社区的开源流体-结构相互作用，千万亿次求解器。这将使研究在生物系统中无处不在的刚性和/或可变形颗粒的复杂悬浮液中的未探索问题成为可能。血流模拟的结果或示例将在短期内开发出更好的溶血和血栓形成模型，从而在长期内开发出血液相容的心血管器械。这可能对医疗保健产生重大影响。在教育方面，该项目将为高中和本科生研究助理提供培训和研究机会，并提供额外的暑期外展实习机会。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The primary objective of this collaborative study is to develop petascale tools applicable to multi-body, fluid-structure interactions in laminar and turbulent flows. Numerical simulations of fluid flows interacting with dynamically, complex-shaped, moving boundaries are among the most challenging problems in computational mechanics. Petascale machines in the near future can tackle large-scale fluid problems involving the interaction of millions of deformable bodies but involve two significant challenges: i) achievement of high-performance on multi-core processing nodes with small memory per core and ii) development of strategies to address the complexity of load balancing and scaling due to the sheer number of processing elements. In the proposed work a multidisciplinary team from the University of Maryland and the University of Chicago with expertise in computational mechanics, multiscale modeling and parallel computing will address the above issues and develop scalable algorithms and software. The PIs will directly target applications in dense suspensions of deformable particles, such as whole-blood simulations from first principles. The proposed work will make available to the broader computational mechanics community an open source fluid-structure interaction, petascale solver. This will enable research on unexplored problems in complex suspensions of rigid and/or deformable particles that are ubiquitous in biosystems. The results of the blood flow simulations, or example, will enable the development of better hemolysis and thrombosis models in the short term and therefore blood-compatible cardiovascular devices in the long term. This can have significant impact on healthcare. In terms of education, the project will provide training and research opportunities for high school and undergraduate research assistants, as well as additional summer outreach internships.