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规模并行架构的新设计范式背后的集会，今天？的计算多体动力学方法正逐渐变得过时和不适合回答基于仿真的工程所提出的日益增长的挑战。 这个职业建议的动机是有机会通过新的模拟方法重塑现有的计算多体动力学景观。 具体来说，开发的方法将从新的算法角度来解决复杂的动力学应用，这些算法利用负担得起的高性能并行计算硬件。以及预测/理解/优化重型机械（如1，500吨电动挖掘机）的动力学，目前限制基于仿真的工程潜力的三个效率障碍如下：（i）数值求解方法植根于序列算法，（ii）数值方法不能有效地扩展以处理非常大的系统，以及（iii）数值积分方法限于非常小的积分步长。 在这项研究中，利用新兴的大规模并行商品计算机硬件的先进数值方法将被识别，调查和证明，以有效地克服这些效率障碍。 具体而言，（a）依靠显式数值积分，将研究迭代求解框架的并行模拟潜力，（B）利用微分变分不等式方法，将研究可扩展互补方法的潜力，以使用数万个并行计算线程来解决具有摩擦接触的数十亿体动力学问题，（c）辛方法依赖于隐式数值公式，将研究其在分子动力学模拟中更大积分步长的潜力。如果它是区域分解技术，多重网格方法，或新的变分隐式积分器，本项目研究的方法最终借鉴了应用数学，并利用计算机科学的新兴趋势来推进/加速工程发现。 在具体的经济方面，这项研究工作将（1）转化为基于仿真的工程的直接生产力提高，这是与几个联邦政府和行业合作伙伴的现有技术转让安排的结果，（2）协助NASA研究人员设计下一代月球和火星漫游车所需的仿真技术。 在教育/推广方面，这一努力将（3）通过正在进行的年度夏季科学，技术，工程和数学（STEM）计划，增加威斯康星州大学工程学院的少数民族入学率，明确规定目标和成功指标，（4）促进毕业生/本科机械工程教育轨道在威斯康星州，强调应用数学和计算机科学作为基础建设在新的工程师的技术形成块，（5）提高公众意识的计算多体动力学的主题，特别是应用数学和计算机科学学科的潜力一般。