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

提供广泛可用的软件和程序，以预测沿海建筑物对气候引起的极端水动力事件的复杂反应，对于支持发展适应气候变化的沿海社区至关重要。然而，目前用于评估海岸结构系统对极端水动力载荷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于简化的数值框架，这些框架在超出其有限范围的情况下表现不佳。该项目旨在解决这一不足，率先开发新的高保真、基于物理的数值方法，以及用于极端水动力事件与海岸结构之间的流体-结构相互作用模拟的开源、高性能计算软件基础设施。这项研究促进了沿海气候复原力领域知识的发展。它与美国国家科学基金会致力于促进科学进步，促进在气候变化和抗灾能力方面的突破相一致。广泛传播已开发的计算工具，有可能通过设计更具气候适应能力的沿海基础设施来带来社会和经济效益。此外，它还有可能影响涉及流固相互作用的多个科学领域。这项研究纳入了几项教育和外展活动，包括就气候适应问题对高中教师进行培训，让不同的学生群体参与项目，并改进课程。这些活动促进对气候变化的认识，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用于极端水动力事件下沿海流体-结构相互作用的高保真、基于物理的计算工具。这些工具推动了关于沿海气候适应能力的数学方法、算法和计算软件的发展。具体地说，该项目介绍了以下网络基础设施创新。首先，它使用平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，包括碎片。这种方法不同于以往的海岸流固耦合数值方法，后者往往依赖网格技术或刚体假设来表示固体结构。此外，它利用了一种新的压力投影方法，促进了流体和结构域的高效和准确的双向耦合，从而实现了高预测精度。这项研究还深入探讨了模拟结构损伤和破裂的先进数值方法。其中包括相场模型、周动力学模型和微平面模型，这些模型为模拟结构破坏提供了先进的数值能力。除了这些计算开发外，该项目还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，以及为土木结构量身定做的复杂的前处理模块，结合在一起开发了一个GPU加速的软件平台，通过开放源码的基于云的存储库提供给研究社区。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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structural systems to extreme hydrodynamic loads consists of empirical models lacking a solid theoretical foundation, outdated design codes, and oversimplified numerical frameworks that misbehave in scenarios beyond their limited scope.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.