A Structured Approach to Identifying SEA Parameters from Measured Data

PI：Richard F. Keltie博士，北卡罗来纳州州立大学提案编号： CMS-9908326标题： 一种结构化的方法，以确定SEA参数从测量数据摘要：本研究项目涉及的发展和完善的分析技术，从测量系统数据中提取有效的统计能量分析（SEA）参数。SEA是一种方法，它允许预测系统的结构动力学和结构的声学响应的频率范围内的有限元方法是不可行的。如果能够高效、准确地获得SEA所需的参数，将大大提高SEA在工程设计中的应用。本研究的目标是开发系统识别技术和数据采集方法，将允许确定这些所需的参数，如耦合损耗因子。这一目标将通过使用实际工程系统进行广泛的测试来实现。 本征系统识别方法，适用于在时域和频域中，将被用来估计SEA参数作为空间平均和空间范围的函数。稳态能量耦合矩阵的直接求逆和瞬态响应能量的状态空间实现都将被研究。本研究的结果将定义获得必要的SEA参数所需的数据采集和分析技术。这些结果将允许该技术更容易地实施，更有信心的设计师和分析师，允许在工程设计实践中的方法的显着扩展。

PI: Richard F. Keltie, Ph.D.North Carolina State UniversityProposal No.: CMS-9908326Title: A Structured Approach to Identifying SEA Parameters From Measured DataAbstract:This research project deals with the development and refinement of analysis techniques necessary to extract valid Statistical Energy Analysis (SEA) parameters from measured system data. SEA is a methodology that permits prediction of system structural dynamic and structural acoustic response in frequency regimes where the finite element method is not feasible. The use of SEA in engineering design could be significantly increased if the necessary SEA parameters can be obtained efficiently and accurately. The goal of this research is to develop system identification techniques and data acquisition methods that will allow for the determination of these required parameters, such as coupling loss factors. This goal will be accomplished through extensive testing using realistic engineering systems. Eigensystem identification methods, applied both in the time domain and in the frequency domain, will be used to estimate SEA parameters as a function of spatial averaging and spatial extent. Both direct inversion of the steady-state energy coupling matrix and a state space realization of the transient response energy will be examined. The results of this research will define the data acquisition and analysis techniques required for obtaining necessary SEA parameters. These results will permit the technique to be implemented more easily and with more confidence by designers and analysts, allowing for a significant expansion of the method in engineering design practice.