GOALI: A Novel Strategy for Large-Scale Industrial Topology Optimization

GOALI：大规模工业拓扑优化的新策略

• 批准号: 1232508
• 负责人: Krishnan Suresh
• 金额: $ 24.26万
• 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: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1232508&HistoricalAwards=false
• 关键词: GOALI; Novel; Strategy; Large; Scale

The research objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) award is to develop a novel and powerful topology optimization method. The research will be carried through close collaboration with Mercury Marine (WI), the industrial partner for this award. The specific tasks are: (1) to identify a set of topology optimization problems that are representative of the challenges faced by the industry today; (2) to significantly improve the speed and reliability of topology optimization; (3) to focus on product realization and commercialization. In addition to collaborating with the industrial partner, the research will leverage student-designed SAE Formula cars at UW-Madison to put the topology optimization algorithms to a rigorous test.If successful, the research will provide a fresh stimulus to the mathematically rich discipline of topology optimization. It will further strengthen the theory of topological sensitivity by applying it to complex problems of engineering interest. It will explore and exploit relationship between existing topology optimization methods and new method. Through industrial interaction, the research will create better understanding, formulation and solution of practical topology optimization problems. The broader impacts of the research are: (1) better optimization techniques will lead to reduced physical prototyping, and reduced material usage; (2) undergraduates and graduate students at UW-Madison will be exposed to topology optimization through case-studies, and summer co-ops at Mercury-Marine, and (3) the impact of the industrial interaction is on budding engineers who will be exposed to a unique blend of research, industrial experience and formal education. The research is transformative in that it suggests a fundamentally new direction for topology optimization that has not been investigated by the research community.

该研究的目的是学术联络与工业（GOALI）奖的赠款机会是开发一种新颖的和强大的拓扑优化方法。该研究将通过与该奖项的工业合作伙伴Mercury Marine（WI）的密切合作进行。具体任务是：（1）确定一组拓扑优化问题，这些问题代表了当今行业所面临的挑战;（2）显著提高拓扑优化的速度和可靠性;（3）专注于产品实现和商业化。除了与工业合作伙伴合作，研究将利用学生设计的SAE方程式汽车在威斯康星大学麦迪逊分校把拓扑优化算法进行严格的测试。如果成功，研究将提供一个新的刺激数学丰富的学科拓扑优化。它将进一步加强拓扑敏感性理论，将其应用于复杂的工程问题。探索和利用现有拓扑优化方法与新方法之间的关系。通过工业互动，研究将创造更好的理解，制定和实际拓扑优化问题的解决方案。研究的更广泛的影响是：（1）更好的优化技术将导致减少物理原型，并减少材料的使用;（2）威斯康星大学麦迪逊分校的本科生和研究生将通过案例研究和水星海洋的夏季合作接触拓扑优化，以及（3）工业互动的影响是对崭露头角的工程师的影响，他们将接触到独特的混合研究，工业经验和正规教育。这项研究是变革性的，因为它提出了一个根本性的新方向，拓扑优化，还没有被研究界调查。