摘要
提出了在结合面样件的实验模态和有限元分析模态间振型拟合的基础上,以两者对应的各阶固有频率之差的平方和最小为目标的优化算法,来识别结合面特性参数的方法,编制了相应的软件。将识别出的参数用于由一底座和二立柱构成的结构系统固有频率的预测。
In order to develope the technology of calculating static and dynamic behavior of new product during its design period without prototype, an identification method for calculatinng interface characteristic of mechanical structure system is presented. The paper discusses an optimum algorithm, choosing the contact stiffness coefficients as design variables, aimming at minimizing the sum of squares of eigenfrequency differences between finite element modes and their corresponding experimental modes based on mode shape indentification. Corresponding software has been developed. Using the identified parameters from an interface sample composed of one base and two columns, the eigenfrequency of mechanical structure system has been calculated and their accuracy has been verified by testing.
出处
《制造技术与机床》
CSCD
北大核心
1998年第9期5-7,共3页
Manufacturing Technology & Machine Tool
基金
北京市自然科学基金
关键词
机械产品
结合面
参数识别
最优化算法
软件
Identification of Interface Characteristic, Optimum Algorithm, Behavior Prediction