摘要
为识别影响自动装填机构刚度的重要关键参数和核心关键参数,提出了混合全局灵敏度分析方法。采用准优化Morris轨迹的基本因素法识别重要关键参数,将识别的重要关键参数作为设计变量,采用基于混沌多项式展开的全局灵敏度分析方法识别核心关键参数,并通过两个测试函数验证了该文分析方法的有效性。最后,从32个自动装填机构参数中提取了10个影响刚度的重要关键参数,并从10个重要关键参数中提取了6个影响刚度的核心关键参数。
In order to identify the important parameters and key parameters affecting the stiffness of the automatic loading mechanism,a combined global sensitivity analysis method is proposed here. The important parameters are identified by the quasi-optimized Morris trajectory based the elementary effect method and then these parameters are identified as the design variables. The key parameters are identified by the global sensitivity analysis method based on the polynomial chaos expansion. Two test functions are given to verify the effectiveness of the proposed method. Finally,the 10 important parameters affecting the stiffness of the automatic loading mechanism are extracted from all the 32 parameters ,and the 6 key parameters affecting the stiffness are extracted from the 10 important parameters.
作者
孙佳
陈光宋
钱林方
尹强
刘太素
Sun Jia;Chen Guangsong;Qian Linfang;Yin Qiang;Liu Taisu(School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2019年第2期135-140,146,共7页
Journal of Nanjing University of Science and Technology
基金
国家自然科学基金(11472137)
关键词
自动装填机构
全局灵敏度分析
基本因素法
混沌多项式展开
automatic loading mechanism
global sensitivity analysis
elementary effect method
polynomial chaos expansion
