Collaborative Research: Frameworks: Multiphase Fluid-Structure Interaction Software Infrastructure to Enable Applications in Medicine, Biology, and Engineering

合作研究：框架：支持医学、生物学和工程应用的多相流固耦合软件基础设施

• 批准号: 1931516
• 负责人: Boyce Griffith
• 金额: $ 128.43万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1931516&HistoricalAwards=false
• 关键词: Collaborative; Research; Frameworks; Multiphase; Fluid

Physical systems in which fluid flows interact with immersed structures are found in a wide range of areas of science and engineering. Such fluid-structure interactions are ubiquitous in biological systems, including blood flow in the heart, the ingestion of food, and mucus transport in the lung. Fluid-structure interaction is also a crucial aspect of new approaches to energy harvesting, such as wave-energy converters that extract energy from the motion of sea or ocean waves, and in advanced approaches to manufacturing, such as 3D printing. This award supports the development of an advanced computer simulation infrastructure for modeling this full range of application areas. Computer models advanced by this project could ultimately lead to improved diagnostics and treatments for human disease, optimized designs of novel approaches to renewable energy, and reduced manufacturing costs through improved production times in 3D printing.This project aims to enhance the IBAMR computer modeling and simulation infrastructure that provides advanced implementations of the immersed boundary (IB) method and its extensions with support for adaptive mesh refinement (AMR). IBAMR is designed to simulate large-scale fluid-structure interaction models on distributed memory-parallel systems. Most current IBAMR models assume that the properties of the fluid are uniform, but many physical systems involve multiphase fluid models with inhomogeneous properties, such as air-water interfaces or the complex fluid environments of biological systems. This project aims to extend recently developed support in IBAMR for treating multiphase flows by improving the accuracy and efficiency of IBAMR's treatment of multiphase Newtonian flows, and also by extending this multiphase flow modeling capability to treat multiphase complex (polymeric) fluid flows, which are commonly encountered in biological systems, and to treat reacting flows with complex chemistry, which are relevant to models of combustion, astrophysics, and additive manufacturing using stereolithography (3D printing). This project also aims to re-engineer IBAMR for massive parallelism, so that it may effectively use very large computational resources in service of applications that require very high fidelity. The project will also develop modules that will facilitate the use of image-derived geometries, and it will develop novel fluid-structure coupling schemes that will facilitate the use of independent fluid and solid solvers. These capabilities are motivated within this project by models of cardiac, gastrointestinal, and lung physiology; renewable energy; and advanced manufacturing. This software will be used in courses developed by the members of the project team. The project also aims to grow the community of IBAMR users by enhancing project documentation and training materials, hosting user group meetings, and offering short courses.This award by the NSF Office of Advanced Cyberinfrastructure is co funded by the Division of Civil, Mechanical, and Manufacturing Innovation to provide enabling tools to advance potentially transformative fundamental research, particularly in biomechanics and mechanobiology.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

流体流动与浸没结构相互作用的物理系统在科学和工程的广泛领域中被发现。这种流体-结构相互作用在生物系统中普遍存在，包括心脏中的血液流动、食物的摄入和肺中的粘液运输。流体-结构相互作用也是能量收集新方法的一个重要方面，例如从海洋或海浪运动中提取能量的波浪能转换器，以及先进的制造方法，如3D打印。该奖项支持先进的计算机仿真基础设施的开发，用于建模这一全方位的应用领域。该项目所推进的计算机模型最终可能会改善人类疾病的诊断和治疗，优化可再生能源新方法的设计，该项目旨在增强IBAMR计算机建模和仿真基础设施，提供浸入式边界（IB）的高级实现。方法及其扩展，支持自适应网格细化（AMR）。IBAMR是在分布式存储并行系统上模拟大规模流固耦合模型的专用软件。目前大多数IBAMR模型假设流体的性质是均匀的，但许多物理系统涉及具有非均匀性质的多相流体模型，例如空气-水界面或生物系统的复杂流体环境。该项目旨在通过提高IBAMR处理多相牛顿流的精度和效率，以及通过将这种多相流建模能力扩展到处理多相复杂流，（聚合物）流体流，这是生物系统中常见的，并处理具有复杂化学的反应流，这与燃烧模型有关，天体物理学和使用立体光刻（3D打印）的增材制造。该项目还旨在重新设计IBAMR的大规模并行性，以便它可以有效地使用非常大的计算资源，服务于需要非常高保真的应用程序。该项目还将开发有助于使用图像衍生几何形状的模块，并将开发新的流体-结构耦合方案，以便于使用独立的流体和固体求解器。这些能力是由心脏，胃肠道和肺生理学模型，可再生能源和先进制造业在这个项目中激发的。该软件将用于项目小组成员开发的课程。该项目还旨在通过增强项目文档和培训材料，举办用户组会议和提供短期课程来发展IBAMR用户社区。NSF高级网络基础设施办公室的这一奖项由土木，机械和制造创新部门共同资助，以提供使能工具来推进潜在的变革性基础研究，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

A sharp interface Lagrangian-Eulerian method for flexible-body fluid-structure interaction

柔性体液-结构相互作用的锐界面拉格朗日-欧拉方法

• DOI: 10.1016/j.jcp.2023.112174
• 发表时间: 2023
• 期刊: Journal of Computational Physics
• 影响因子: 4.1
• 作者: Kolahdouz, Ebrahim M.;Wells, David R.;Rossi, Simone;Aycock, Kenneth I.;Craven, Brent A.;Griffith, Boyce E.
• 通讯作者: Griffith, Boyce E.

The smooth forcing extension method: A high-order technique for solving elliptic equations on complex domains

平滑力扩展法：求解复杂域上椭圆方程的高阶技术

• DOI: 10.1016/j.jcp.2021.110390
• 发表时间: 2021
• 期刊: Journal of Computational Physics
• 影响因子: 4.1
• 作者: Qadeer, Saad;Griffith, Boyce E.
• 通讯作者: Griffith, Boyce E.

A hybrid semi-Lagrangian cut cell method for advection-diffusion problems with Robin boundary conditions in moving domains

• DOI: 10.1016/j.jcp.2021.110805
• 发表时间: 2021-11-12
• 期刊: JOURNAL OF COMPUTATIONAL PHYSICS
• 影响因子: 4.1
• 作者: Barrett, Aaron;Fogelson, Aaron L.;Griffith, Boyce E.
• 通讯作者: Griffith, Boyce E.

An immersed peridynamics model of fluid-structure interaction accounting for material damage and failure

• DOI: 10.1016/j.jcp.2023.112466
• 发表时间: 2023-09-20
• 期刊: JOURNAL OF COMPUTATIONAL PHYSICS
• 影响因子: 4.1
• 作者: Kim，Keon Ho;Bhalla，Amneet P. S.;Griffith，Boyce E.
• 通讯作者: Griffith，Boyce E.

Antibody-Mediated Immobilization of Virions in Mucus

• DOI: 10.1007/s11538-019-00653-6
• 发表时间: 2019-10-01
• 期刊: BULLETIN OF MATHEMATICAL BIOLOGY
• 影响因子: 3.5
• 作者: Jensen, Melanie A.;Wang, Ying-Ying;McKinley, Scott A.
• 通讯作者: McKinley, Scott A.