Enabling the Design of Large-Scale Complex Engineered Systems using Self-Organizing Optimization Algorithms

使用自组织优化算法实现大规模复杂工程系统的设计

• 批准号: 1435188
• 负责人: Joaquim Martins
• 金额: $ 33万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1435188&HistoricalAwards=false
• 关键词: Enabling; Design; Large; Scale; Complex

The design of complex engineered systems is of critical importance to society due to the impact these systems have on productivity and quality of life. The complexity of systems such as electronic appliances, aircraft, spacecraft, or cars has grown tremendously as the expectations for performance and functionality continue to increase. The process for designing engineered systems has itself become complex, to the point where this complexity is becoming unmanageable. This award supports research on new approaches for designing that can tackle problems of unprecedented complexity through the use of optimization algorithms. Using optimization software, an automotive engineer can already design a car that maximizes the fuel economy by varying the car shape, dimensions, and engine characteristics, while satisfying all safety constraints. However, for engineered systems that involve large numbers of components and parameters that depend on each other, existing optimization algorithms become unacceptably slow.The objective of this project is to develop a new set of computational design optimization algorithms that will be able to optimize large-scale complex engineered systems in a scalable way. This scalability will be achieved by taking advantage of high-performance parallel computing resources and by exploiting the mathematical structure of the problem, decomposing it automatically into manageable components. The algorithms will be built upon recent mathematical developments that unify numerical methods for the solution and sensitivity analysis of coupled systems. The developed algorithms will be tested in collaboration with the National Aeronautics and Space Administration for the design optimization of a satellite and its operation. The resulting software will be of general purpose, and will be published under an open source license agreement.

复杂工程系统的设计对社会至关重要，因为这些系统对生产力和生活质量有影响。随着对性能和功能的期望不断提高，诸如电子设备、飞机、航天器或汽车之类的系统的复杂性已经大大增加。设计工程系统的过程本身已经变得复杂，以至于这种复杂性变得难以管理。该奖项支持研究新的设计方法，可以通过使用优化算法来解决前所未有的复杂问题。 使用优化软件，汽车工程师已经可以设计一辆汽车，通过改变汽车的形状，尺寸和发动机特性，同时满足所有安全约束，最大限度地提高燃油经济性。然而，对于工程系统，涉及大量的组件和参数，相互依赖，现有的优化算法变得不可接受的缓慢。本项目的目标是开发一套新的计算设计优化算法，将能够优化大规模的复杂工程系统在一个可扩展的方式。这种可扩展性将通过利用高性能并行计算资源和利用问题的数学结构来实现，将其自动分解为可管理的组件。该算法将建立在最近的数学发展，统一的数值方法的解决方案和耦合系统的灵敏度分析。将与美国国家航空航天局合作测试所开发的算法，以优化卫星的设计及其运行。由此产生的软件将是通用的，并将根据开源许可协议发布。