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

合作研究：粘性不可压缩流中多体流固相互作用的 Petascale 算法

• 批准号: 0904920
• 负责人: Elias Balaras
• 金额: $ 104.98万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0904920&HistoricalAwards=false
• 关键词: Collaborative; Research; Petascale; algorithms; multi

OCI - 0904920BalarasThis 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.

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级工具。流体流动与动态、复杂形状、移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，千兆级机器可以解决涉及数百万个可变形体相互作用的大规模流体问题，但涉及两个重大挑战：i)在每核内存小的多核处理节点上实现高性能；ii)开发策略，以解决由于处理元素数量众多而导致的负载平衡和扩展的复杂性。在提议的工作中，来自马里兰大学和芝加哥大学的多学科团队在计算力学、多尺度建模和并行计算方面具有专业知识，将解决上述问题，并开发可扩展的算法和软件。pi将直接应用于可变形颗粒的密集悬浮液中，例如基于第一性原理的全血模拟。提出的工作将为更广泛的计算力学社区提供一个开源的流体-结构相互作用，千兆级求解器。这将使研究在生物系统中普遍存在的刚性和/或可变形颗粒的复杂悬浮液中未探索的问题成为可能。例如，血流模拟的结果将有助于在短期内开发出更好的溶血和血栓模型，从而在长期内开发出血液相容的心血管设备。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研究助理提供培训和研究机会，以及额外的暑期拓展实习机会。