CDI-Type II: Unravelling the Complexity of Extreme Waves: A Computational Quest

CDI-Type II：揭示极端波浪的复杂性：计算探索

• 批准号: 1125285
• 负责人: Balakumar Balachandran
• 金额: $ 175万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1125285&HistoricalAwards=false
• 关键词: CDI; Type; II; Unravelling; Complexity

Extreme waves occur as an emergent phenomenon in many natural systems. These unusually large concentrations of energy coalesce from smaller adjacent perturbations. This energy focusing effect, which has been observed in ocean waves, fiber optic systems, and microwave systems, is not well understood and has not been investigated through massively parallel computations. With this in mind, the overall goal of this multi-disciplinary team of researchers is to pioneer an integrated approach to computationally model extreme waves through Eulerian and Lagrangian formulations, use CUDA based large-scale computations as a means to obtain an enhanced understanding of energy focusing associated with the natural and complex phenomenon of extreme waves, and exploit the insights and knowledge gained for forecasting such conditions for the first time. The proposed four-year effort is to be carried out by a team comprised of researchers from mechanical engineering, applied mathematics and scientific computation, atmospheric and ocean sciences, and astrophysics. This team will pursue a novel integrated approach to create a computational platform, advance GPU-based simulations, and use computational thinking to derive fundamental insights into the complexity of extreme wave conditions. This understanding can help in facilitating energy focusing and taking advantage of it for energy harnessing. Specific outcomes are expected to include different computational models tailored for studies of full field extreme waves, including Lagrangian based N-particle computational models and grid based Navier-Stokes formulations. Instability tests based on the breeding method, which have been developed for atmospheric and ocean modeling studies, will be used for the first time to identify characteristics of instability growth in ocean wave interactions and forecast them. The proposed work has multiple global economic, security, and scientific applications and shares many of the values of the Cyber-Enabled Discovery and Innovation program. A large number of broader impacts are conceivable given the wide ranging and multi-disciplinary influences of wave energy concentration. The potential to create sub-specialties and entirely new fields of energy transport optimization demonstrate the important science these emergent phenomena can reveal. The identification of precursors and modeling of extreme wave events can afford wide ranging benefits to many fronts including commercial shipping, naval missions, offshore energy harnessing, fiber optic communications, and galaxy formation and other astrophysical phenomena. Apart from integration of research findings into the undergraduate and graduate course offerings across departments, a new cross-disciplinary undergraduate elective on computational dynamics will be created and offered to enable discovery based learning. Along with a post-doctoral scholar, three graduate students will directly get a unique opportunity to work on convergence research and develop computational thinking through a robust cross-disciplinary education. Local high-school students are also expected to benefit through simulation based research practicum to be pursued at the University of Maryland. Art-in-science displays on solitons and other wave phenomena will be used to stimulate and nurture the interests of K-12 students who visit campus for different events including the annually held Maryland Day on campus.

极端海浪在许多自然系统中是一种新出现的现象。这些异常大的能量集中来自较小的相邻扰动。这种能量聚焦效应，已经在海浪、光纤系统和微波系统中观察到，但还没有被很好地理解，也没有通过大规模的并行计算来研究。考虑到这一点，这个多学科研究团队的总体目标是开创一种综合的方法，通过欧拉和拉格朗日公式对极端海浪进行计算建模，使用基于CUDA的大规模计算作为一种手段，以增强对与极端海浪的自然和复杂现象相关的能量聚焦的理解，并首次利用为预测此类条件而获得的洞察力和知识。拟议的四年努力将由一个由来自机械工程、应用数学和科学计算、大气和海洋科学以及天体物理的研究人员组成的团队进行。该团队将寻求一种新颖的集成方法来创建计算平台，推进基于GPU的模拟，并使用计算思维来获得对极端波浪条件复杂性的基本见解。这种理解有助于促进能源集中和利用能源进行能源利用。预计具体结果将包括为全场极端波研究量身定做的不同计算模型，包括基于拉格朗日的N粒子计算模型和基于网格的Navier-Stokes公式。基于繁殖方法的不稳定性测试是为大气和海洋模拟研究而开发的，将首次用于识别海浪相互作用中不稳定增长的特征并进行预测。这项拟议的工作具有多种全球经济、安全和科学应用，并分享了许多由网络支持的发现和创新计划的价值。考虑到波浪能量集中的广泛和多学科影响，大量更广泛的影响是可以想象的。创建能量传输优化的子专业和全新领域的潜力展示了这些新兴现象可以揭示的重要科学。前兆的识别和极端波事件的模拟可以为许多前沿领域提供广泛的好处，包括商业航运、海军任务、近海能源利用、光纤通信、星系形成和其他天体物理现象。除了将研究成果整合到各系的本科生和研究生课程中外，还将设立一门新的跨学科本科生计算动力学选修课，并提供该选修课，以实现基于发现的学习。除了一名博士后学者，三名研究生将直接获得一个独特的机会，通过强有力的跨学科教育从事融合研究和发展计算思维。当地高中生也有望从马里兰大学进行的基于模拟的研究实践中受益。孤立子和其他波浪现象上的科学艺术展示将被用来激发和培养参观校园参加不同活动的K-12学生的兴趣，包括每年在校园举行的马里兰州日。