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

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:
$175.0万
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
项目状态:
已结题
起止时间:
2011-09-01 至 2017-08-31

项目摘要

项目成果

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中文摘要
翻译
极端波作为一种突发现象出现在许多自然系统中。 这些异常大的能量集中是由相邻的小扰动聚结而成的。 在海浪、光纤系统和微波系统中观察到的这种能量聚焦效应还没有得到很好的理解,也没有通过大规模并行计算进行研究。 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方法,通过欧拉和拉格朗日公式计算模拟极端波浪,使用基于CUDA的大规模计算作为一种手段,以增强对与极端波浪的自然和复杂现象相关的能量聚焦的理解,并首次利用所获得的见解和知识来预测这种情况。 拟议的四年工作将由一个由机械工程、应用数学和科学计算、大气和海洋科学以及天体物理学研究人员组成的小组进行。 该团队将采用一种新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,并利用它来利用能源。 具体成果预计将包括为全场极端波研究量身定制的不同计算模型,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试验是为大气和海洋模拟研究开发的,将首次用于确定海浪相互作用中不稳定性增长的特征并对其进行预测。拟议的工作具有多个全球经济,安全和科学应用,并分享了网络支持的发现和创新计划的许多价值。 考虑到波能集中的广泛和多学科影响,可以想象大量更广泛的影响。 创建能源运输优化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浪事件的建模可以为许多方面提供广泛的好处,包括商业航运,海军任务,海上能源利用,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跨部门的本科和研究生课程中,还将创建一个新的跨学科的计算动力学本科选修课,并提供以发现为基础的学习。 沿着一名博士后学者,三名研究生将直接获得一个独特的机会,通过强大的跨学科教育进行融合研究和发展计算思维。当地的高中生也有望通过模拟为基础的研究实习将在马里兰州大学追求受益。艺术在科学显示孤子和其他波现象将被用来激发和培养K-12学生谁访问校园的不同活动,包括每年举行的马里兰州日在校园的兴趣。
英文摘要
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.
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GOALI/Collaborative Research: Nonlinear Energy Dynamics of Aerodynamically Coupled Oscillators
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  • 负责人:
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Fifth International Colloquium on Nonlinear Dynamics and Control of Deep Drilling Systems; College Park, Maryland; 1-3 June 2020
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Noise Influenced Energy Localization in Oscillator Arrays
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智能型Type-I光敏分子构效设计及其抗耐药性感染研究
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