CAREER: Design Parameter Determination for Optimal Dynamic Performance of Complex Multibody Systems

该职业项目强调使用多体动力学建模作为通过低阶动态仿真算法、并行计算以及启发式遗传和优化算法的有效组合来设计复杂动态系统的工具。通过这项研究开发的方法将自动生成指定复杂多体系统的运动方程和相关仿真代码，并根据这些方程确定相对于某些用户指定的设计目标被认为最佳的系统设计参数。该教育计划包括开发计算机辅助数学建模和分析导向课程，及其在SAE赞助的电动汽车比赛和迷你巴哈比赛等本科设计项目中的应用。此外，研究生课程还计划使用多体动力学软件作为动态分析和设计工具。外展活动包括与德国达姆施塔特达姆施塔特工业大学建立正式的学生交流计划；加强 RPI 目前存在的工程和技术大学预科课程。

This CAREER project emphasizes the use of multibody dynamic modeling as a tool for designing complex dynamic systems via low-order dynamic simulation algorithms, parallel computing, and an efficient combination of heuristic genetic and optimization algorithms. The methodology developed through this research would automatically generate equations of motion and associated simulation code for a specified complex multibody system, and determine from these equations the system design parameters that are considered optimal with respect to some user prescribed design objective. The education plan includes computer-aided mathematical modeling and analysis oriented course developed, and their application in undergraduate design projects such as SAE sponsored electric car race and mini Baja competition. In addition, graduate courses are planned with multibody dynamics software used as a dynamic analysis and design tool. Outreach activities include establishing a formal student exchange program with Technische Hochschule Darmstadt, Darmstadt, Germany; and strengthening pre-college level programs in engineering and technology currently in existence at RPI.