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

流体流动与浸入式结构相互作用的物理系统广泛应用于科学和工程领域。这种流体-结构相互作用在生物系统中无处不在，包括心脏的血液流动、食物的摄入和肺部的粘液运输。流体-结构相互作用也是能量收集新方法的关键方面，例如从海洋或海浪运动中提取能量的波浪能量转换器，以及3D打印等先进制造方法。该奖项支持先进的计算机模拟基础设施的开发，以模拟这一全范围的应用领域。该项目开发的计算机模型最终可以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，并通过缩短3D打印的生产时间来降低制造成本。该项目旨在增强IBAMR计算机建模和仿真基础设施，提供浸入边界（IB）方法的高级实现及其扩展，支持自适应网格细化（AMR）。IBAMR设计用于模拟分布式存储并行系统的大规模流固耦合模型。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。本项目旨在通过提高IBAMR处理多相牛顿流的准确性和效率，扩展IBAMR最近开发的对多相流处理的支持，并通过扩展多相流建模能力来处理生物系统中常见的多相复杂（聚合物）流体流动，以及处理复杂化学反应流，这与燃烧，天体物理学，以及使用立体光刻（3D打印）的增材制造。该项目还旨在为大规模并行性重新设计IBAMR，以便它可以有效地使用非常大的计算资源来服务需要非常高保真度的应用程序。该项目还将开发有助于使用图像衍生几何图形的模块，并将开发有助于使用独立流体和固体求解器的新型流体-结构耦合方案。在这个项目中，这些功能是由心脏、胃肠和肺部生理学模型驱动的；可再生能源;先进制造业。该软件将在项目团队成员开发的课程中使用。该项目还旨在通过改进项目文档和培训材料、主持用户组会议和提供短期课程来扩大IBAMR用户社区。该奖项由美国国家科学基金会高级网络基础设施办公室与民用、机械和制造创新部门共同资助，旨在为推进潜在的变革性基础研究提供支持工具，特别是在生物力学和机械生物学方面。该奖项反映了美国国家科学基金会的法定使命，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。

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.