CAREER: Open-source GPU-accelerated computational infrastructure for coastal fluid-structure interaction in extreme hydrodynamic conditions

职业：极端​​水动力条件下沿海流固耦合的开源 GPU 加速计算基础设施

• 批准号: 2338313
• 负责人: Georgios Moutsanidis
• 金额: $ 49.95万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2028-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2338313&HistoricalAwards=false
• 关键词: CAREER; Open; source; GPU; accelerated

The availability of widely accessible software and procedures for predicting the intricate response of coastal structures to climate-induced extreme hydrodynamic events is paramount for supporting the development of climate-resilient coastal communities. However, the current scientific toolbox for evaluating the response of coastal structural systems to extreme hydrodynamic loads consists of empirical models lacking a solid theoretical foundation, outdated design codes, and oversimplified numerical frameworks that misbehave in scenarios beyond their limited scope. This project aims to address this deficiency by pioneering the development of novel high-fidelity, physics-based numerical methodologies, and open-source, high-performance computational software infrastructure for fluid-structure interaction simulation between extreme hydrodynamic events and coastal structures. This research enables the advancement of knowledge in the field of coastal climate resilience. It aligns with NSF's commitment to promoting the progress of science and facilitating breakthroughs in climate change and resilience. The wide dissemination of the developed computational tools holds the potential to deliver societal and economic benefits by enabling the design of more climate-resilient coastal infrastructure. Moreover, it has the potential to impact multiple scientific fields that involve fluid-structure interaction. Integrated into this research are several education and outreach activities that involve training high-school teachers in climate resilience issues, engaging diverse student cohorts in project participation, and enhancing the curriculum. These activities promote climate change awareness, cultivate interdisciplinary and computational thinking, and foster diversity and inclusion.The technical objective of this project is the development of high-fidelity, physics-based computational tools for coastal fluid-structure interaction under extreme hydrodynamic events. These tools advance mathematical methods, algorithms, and computational software on coastal climate resilience. Specifically, the project introduces the following cyberinfrastructure innovations. First, it employs Smoothed Particle Hydrodynamics to simulate violent free-surface flows and extreme structural deformations, including fragmentation. This approach departs from previous numerical methods on coastal fluid-structure interaction that often relied on mesh-based techniques or rigid body assumptions to represent solid structures. Furthermore, it utilizes a novel pressure projection method that facilitates an efficient and accurate two-way coupling of the fluid and structural domains, leading to high predictive accuracy. The research also delves into advanced numerical approaches for modeling structural damage and fracture. These include phase-field, peridynamics, and microplane models, that result in advanced numerical capabilities for simulating structural failure. In addition to these computational developments, the project uses water flume facilities to provide experimental validation for the developed computational tools. Lastly, the culmination of these computational and mathematical innovations, along with a sophisticated pre-processing module tailored to civil structures, are combined to develop a GPU-accelerated software platform made available to the research community through open-source cloud-based repositories.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.

提供广泛使用的软件和程序，预测沿海结构对气候引起的极端水动力事件的复杂反应，对于支持发展具有气候复原力的沿海社区至关重要。然而，目前用于评估沿海结构系统对极端水动力荷载响应的科学工具箱包括缺乏坚实理论基础的经验模型，过时的设计规范和过度简化的数值框架，这些框架在超出其有限范围的情况下表现不佳。该项目旨在通过开创性地开发新的高保真，基于物理的数值方法，以及开源，高性能的计算软件基础设施，用于极端水动力事件和沿海结构之间的流体-结构相互作用模拟，来解决这一不足。这项研究有助于提高沿海气候适应力领域的知识。它与NSF致力于促进科学进步和促进气候变化和恢复力突破的承诺保持一致。广泛传播所开发的计算工具，有可能通过设计更具气候适应能力的沿海基础设施，带来社会和经济效益。此外，它有可能影响涉及流体-结构相互作用的多个科学领域。本研究纳入了几项教育和外展活动，涉及对高中教师进行气候适应力问题培训、让不同的学生群体参与项目参与以及改进课程。这些活动促进气候变化意识，培养跨学科和计算思维，促进多样性和包容性，该项目的技术目标是开发高保真、基于物理的计算工具，用于极端水动力事件下的沿海流体-结构相互作用。这些工具推进了沿海气候恢复力的数学方法，算法和计算软件。具体而言，该项目引入了以下网络基础设施创新。首先，它采用光滑粒子流体动力学来模拟剧烈的自由表面流动和极端的结构变形，包括破碎。这种方法从以前的数值方法出发，沿海流体-结构相互作用，往往依赖于基于网格的技术或刚体假设来代表固体结构。此外，它利用了一种新的压力投影方法，有利于流体和结构域的有效和准确的双向耦合，从而导致高预测精度。该研究还深入研究了模拟结构损伤和断裂的先进数值方法。这些包括相场，周波，和微平面模型，导致先进的数值模拟结构故障的能力。除了这些计算的发展，该项目使用水槽设施，为开发的计算工具提供实验验证。最后，这些计算和数学创新的顶峰，沿着一个为土木结构量身定制的复杂的预处理模块，联合开发了一个GPU加速的软件平台，通过开源云提供给研究社区，该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的知识价值和更广泛的影响审查评估的支持的搜索.