CAREER: Advanced Computational Multi-Body Dynamics for Next Generation Simulation-Based Engineering

职业：下一代基于仿真的工程的高级计算多体动力学

• 批准号: 0840442
• 负责人: Dan Negrut
• 金额: $ 40.89万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-03-01 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0840442&HistoricalAwards=false
• 关键词: CAREER; Advanced; Computational; Multi; Body

As the computer microprocessor industry rallies behind a new design paradigm that emphasizes massively parallel architectures, today?s Computational Multi-Body Dynamics methods are gradually becoming obsolete and ill-positioned to answer the ever growing challenges posed by Simulation-Based Engineering. This Career proposal is motivated by the opportunity to reshape the existing Computational Multi-Body Dynamics landscape through new simulation methods. Specifically, the developed methods will tackle complex dynamics applications from new algorithmic perspectives that draw on affordable high performance parallel computing hardware.From the motion of atoms to the flow of granular material (sand, gravel, etc.) and on to predicting/understanding/optimizing the dynamics of heavy duty machinery such as a 1,500 ton electric excavator, three efficiency barriers that currently limit the potential of Simulation-Based Engineering are identified as follows: (i) numerical solution methods are rooted in sequential algorithms, (ii) numerical methods do not scale to handle very large systems efficiently, and (iii) numerical integration methods are limited to very small integration step-sizes. Under this research, advanced numerical methods leveraging emerging massively parallel commodity computer hardware will be identified, investigated, and demonstrated to effectively overcome these efficiency barriers. Specifically, (a) relying on explicit numerical integration, an iterative solution framework will be investigated for its potential for parallel simulation, (b) drawing on a differential variational inequality approach, scalable complementarity methods will be investigated for their potential to use tens of thousands of parallel computational threads to solve billion body dynamics problems with frictional contact, and (c) relying on implicit numerical formulas, symplectic methods will be investigated for their potential for larger integration step-sizes in Molecular Dynamics simulation.If it is a domain decomposition technique, a multigrid methodology, or a new variational implicit integrator, the approaches investigated under this project ultimately draw on Applied Mathematics and leverage emerging trends in Computer Science to advance/accelerate discovery in Engineering. In specific economic terms, this research effort will (1) translate into immediate productivity gains in Simulation-Based Engineering as a result of existing technology transfer arrangements with several federal government and industry partners, and (2) assist NASA researchers with simulation technology required to design the next generation of Lunar and Mars rovers. In educational/outreach terms, this effort will (3) increase minority enrollment in the College of Engineering at the University of Wisconsin through an ongoing annual summer Science, Technology, Engineering, and Mathematics (STEM) program with clearly stated goals and success metrics, (4) promote a graduate/undergraduate Mechanical Engineering educational track at Wisconsin that emphasizes Applied Mathematics and Computer Science as fundamental building blocks in the technical formation of new Engineers, and (5) increase public awareness of the Computational Multi-Body Dynamics topic in particular and the potential of Applied Mathematics and Computer Science disciplines in general.

随着计算机微处理器行业在强调大量平行体系结构的新设计范式背后的集会，如今的计算多体动力学方法正在逐渐变得过时且置于不良状态，以应对基于模拟的工程所带来的不断增长的挑战。 这项职业建议是由有机会通过新的仿真方法重塑现有计算多体动力学景观的动机。 具体而言，开发的方法将从新算法的角度来解决复杂的动态应用，这些视角利用负担得起的高性能并行计算硬件。从原子的运动到颗粒材料的流动到颗粒材料的流动（沙子，砾石等），以及预测/理解/理解/优化诸如1,500吨电效率的重型机械的动态，以限制型号的动态，以限制三个效率：三个限制了效率：三个效率：三个效率：三效效率：三个效率： （i）数值解决方案方法植根于顺序算法，（ii）数值方法不会扩展以有效地处理非常大的系统，并且（iii）数值集成方法仅限于非常小的集成步骤尺寸。 在这项研究下，将确定，调查和证明利用大量平行商品计算机硬件的高级数值方法有效地克服了这些效率障碍。 Specifically, (a) relying on explicit numerical integration, an iterative solution framework will be investigated for its potential for parallel simulation, (b) drawing on a differential variational inequality approach, scalable complementarity methods will be investigated for their potential to use tens of thousands of parallel computational threads to solve billion body dynamics problems with frictional contact, and (c) relying on implicit numerical formulas, symplectic将研究方法在分子动力学模拟中的较大整合步骤尺寸的潜力。如果它是域分解技术，一种多机方法或一种新的变异隐式集成器，则该项目下的方法最终借鉴了应用的数学并利用了在计算机科学方面的应用趋势，以推动/加速/加速到工具中的趋势。 从特定的经济角度来看，这项研究工作将（1）由于与几个联邦政府和行业合作伙伴的现有技术转移安排而导致基于模拟的工程的立即生产率提高，（2）（2）协助NASA研究人员使用设计下一代LUNAR和MARS ROVER所需的模拟技术。 在教育/宣传方面，这项工作将（3）通过正在进行的年度夏季科学，技术，技术，工程和数学（STEM）计划，增加威斯康星大学工程学院的少数群体入学率，并具有明确指定的目标和成功指标，（4）促进研究生/本质上的机械工程教育教育曲目，以实现新的数学构建数学，并促进了数学的构建，以实现数学的构建，并促进了数学的构建。工程师和（5）提高公众对计算多体动力学主题的认识，以及一般应用数学和计算机科学学科的潜力。