ITR: Data Driven Design Optimization in Engineering Using Concurrent Integrated Experiment and Simulation

该提案的重点是开发和验证一种创新的方法，多标准设计优化（MDO）在工程中，集成了并行实验和仿真。 这种方法，表示数据驱动的设计优化方法（DDDOM），代表了一个重大的变化，从目前的工程设计实践中使用的实验和模拟顺序的方式。 该方法将充分利用实验和仿真在动态数据驱动应用系统中的固有优势。该方法将被验证为三种情况下的最佳设计：一个齐平安装的入口，一个通用的拱形圆柱体，电子元件的冷却系统，和腰椎脊柱结构。 实验和模拟将在罗格斯大学进行。 该提案包括一项综合教育计划，涉及高中、本科和研究生级别的学生，特别强调妇女和少数族裔。 该研究项目将吸引来自罗格斯大学工程学院特别项目办公室五个现有项目的学生。四个研究小组将由来自每个项目的参与者组成。 这些团队将为研究经验和领导力发展提供独特的机会。 支持组织包括波音公司、IBM和新泽西医学和牙科大学。

The proposal focuses on the development and validation of an innovative methodology for Multi-criteria Design Optimization (MDO) in engineering which integrates concurrent experiment and simulation. This methodology, denoted Data Driven Design Optimization Methodology (DDDOM), represents a major change from current engineering design practice which uses experiment and simulation in a sequential manner. The methodology will leverage the inherent advantages of experiment and simulation in a Dynamic Data Driven Application System. The methodology will be validated for the optimal design of three cases: a flush mounted inlet for a generic ogive-cylinder body, a cooling system for electronic components, and a lumbar vertebral spinal structure. The experiments and simulations will be performed at Rutgers University. The proposal includes an integrated educational program involving students at the high school, undergraduate and graduate levels with specific emphasis on women and minorities. The research program will draw students from five existing programs of the Rutgers School of Engineering Office of Special Programs. Four research teams will be formed with participants drawn from each of these programs. These teams will provide a unique opportunity for research experience and leadership development. Endorsing organizations include Boeing, IBM, and the University of Medicine and Dentistry of New Jersey.