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
基本信息
- 批准号:1931368
- 负责人:
- 金额:$ 49.97万
- 依托单位:
- 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:
- 关键词:
项目摘要
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.
在各种科学和工程领域,发现流体流与沉浸结构相互作用的物理系统。这种流体结构相互作用在生物系统中无处不在,包括心脏中的血液流动,食物的摄入和肺中的粘液转运。流体结构相互作用也是新方法收集方法的关键方面,例如从海浪或海浪运动中提取能量的波能量转换器,以及制造先进的制造方法,例如3D打印。该奖项支持开发高级计算机仿真基础架构,用于建模这一应用程序领域。该项目提出的计算机模型最终可能导致改进人类疾病的诊断和治疗方法,优化的可再生能源方法的新方法设计,并通过在3D打印中改善生产时间来降低制造成本。此项目旨在增强IBAMR计算机建模和模拟基础设施,以使其提供了用于extressed Bounderive(IB)改善的方法及其量度(IB)方法及其供应量(IB)方法,并及其供应。 IBAMR旨在模拟分布式内存并行系统上的大规模流体结构相互作用模型。当前的大多数IBAMR模型都假定流体的特性是均匀的,但是许多物理系统涉及具有不均匀性能的多相流体模型,例如空气水接口或生物系统的复杂流体环境。 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,以及使用立体光刻(3D打印)的增材制造。该项目还旨在重新设计IBAMR进行大规模的并行性,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的保真度的应用程序。该项目还将开发可有助于使用图像衍生几何形状的模块,并将开发新型的流体结构耦合方案,以促进独立流体和实心求解器的使用。这些能力是通过心脏,胃肠道和肺部生理学模型在该项目中激励的。可再生能源;和高级制造。该软件将用于项目团队成员开发的课程。该项目还旨在通过增强项目文档和培训材料,托管用户组会议以及提供短期课程来扩大IBAMR用户的社区。该项目获得了NSF高级网络基础设施办公室的奖项,由民用,机械,机械和制造创新的部门提供资金,以提供潜在的基础研究,以促进型号的基本原理,并提供有能力的基础机制。使命,并被认为是通过基金会的知识分子优点和更广泛影响的审查标准通过评估值得支持的。
项目成果
期刊论文数量(17)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A low Mach enthalpy method to model non-isothermal gas–liquid–solid flows with melting and solidification
低马赫焓法模拟非等温气体-液体-固体流动的熔化和凝固
- DOI:10.1016/j.ijmultiphaseflow.2023.104605
- 发表时间:2023
- 期刊:
- 影响因子:3.8
- 作者:Thirumalaisamy, Ramakrishnan;Bhalla, Amneet Pal
- 通讯作者:Bhalla, Amneet Pal
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:
- 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.
Critique on “Volume penalization for inhomogeneous Neumann boundary conditions modeling scalar flux in complicated geometry”
对“复杂几何中标量通量建模的非均匀诺依曼边界条件的体积惩罚”的批判
- DOI:10.1016/j.jcp.2021.110163
- 发表时间:2021
- 期刊:
- 影响因子:4.1
- 作者:Thirumalaisamy, Ramakrishnan;Nangia, Nishant;Bhalla, Amneet Pal
- 通讯作者:Bhalla, Amneet Pal
Handling Neumann and Robin boundary conditions in a fictitious domain volume penalization framework
- DOI:10.1016/j.jcp.2021.110726
- 发表时间:2021-01
- 期刊:
- 影响因子:0
- 作者:R. Thirumalaisamy;N. Patankar;A. Bhalla
- 通讯作者:R. Thirumalaisamy;N. Patankar;A. Bhalla
A one-sided direct forcing immersed boundary method using moving least squares
- DOI:10.1016/j.jcp.2021.110359
- 发表时间:2021-04
- 期刊:
- 影响因子:0
- 作者:Rahul Bale;A. Bhalla;Boyce E. Griffith;M. Tsubokura
- 通讯作者:Rahul Bale;A. Bhalla;Boyce E. Griffith;M. Tsubokura
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Amneet Pal Bhalla其他文献
Amneet Pal Bhalla的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Amneet Pal Bhalla', 18)}}的其他基金
CAREER: Consistent Continuum Formulation and Robust Numerical Modeling of Non-Isothermal Phase Changing Multiphase Flows
职业:非等温相变多相流的一致连续体公式和鲁棒数值模拟
- 批准号:
2234387 - 财政年份:2023
- 资助金额:
$ 49.97万 - 项目类别:
Continuing Grant
相似国自然基金
多价框架核酸与CRISPR/Cas协作传感平台研究及三阴性乳腺癌术后监测应用
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
多价框架核酸与CRISPR/Cas协作传感平台研究及三阴性乳腺癌术后监测应用
- 批准号:22204104
- 批准年份:2022
- 资助金额:30.00 万元
- 项目类别:青年科学基金项目
基于高阶正则化半监督学习的多跟踪器框架模型及融合策略研究
- 批准号:61571362
- 批准年份:2015
- 资助金额:57.0 万元
- 项目类别:面上项目
表示模型框架下高光谱遥感影像分类若干技术研究
- 批准号:61571033
- 批准年份:2015
- 资助金额:57.0 万元
- 项目类别:面上项目
随机几何框架下的多层异构蜂窝网中物理层安全问题研究
- 批准号:61401510
- 批准年份:2014
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
相似海外基金
Collaborative Research: Frameworks: MobilityNet: A Trustworthy CI Emulation Tool for Cross-Domain Mobility Data Generation and Sharing towards Multidisciplinary Innovations
协作研究:框架:MobilityNet:用于跨域移动数据生成和共享以实现多学科创新的值得信赖的 CI 仿真工具
- 批准号:
2411152 - 财政年份:2024
- 资助金额:
$ 49.97万 - 项目类别:
Standard Grant
Collaborative Research: Frameworks: hpcGPT: Enhancing Computing Center User Support with HPC-enriched Generative AI
协作研究:框架:hpcGPT:通过 HPC 丰富的生成式 AI 增强计算中心用户支持
- 批准号:
2411297 - 财政年份:2024
- 资助金额:
$ 49.97万 - 项目类别:
Standard Grant
Collaborative Research: Frameworks: hpcGPT: Enhancing Computing Center User Support with HPC-enriched Generative AI
协作研究:框架:hpcGPT:通过 HPC 丰富的生成式 AI 增强计算中心用户支持
- 批准号:
2411298 - 财政年份:2024
- 资助金额:
$ 49.97万 - 项目类别:
Standard Grant
Collaborative Research: Scalable Manufacturing of Large-Area Thin Films of Metal-Organic Frameworks for Separations Applications
合作研究:用于分离应用的大面积金属有机框架薄膜的可扩展制造
- 批准号:
2326714 - 财政年份:2024
- 资助金额:
$ 49.97万 - 项目类别:
Standard Grant
Collaborative Research: AF: Small: Structural Graph Algorithms via General Frameworks
合作研究:AF:小型:通过通用框架的结构图算法
- 批准号:
2347322 - 财政年份:2024
- 资助金额:
$ 49.97万 - 项目类别:
Standard Grant