Interval uncertain optimization for damping fluctuation of a segmented electromagnetic buffer under intensive impact load

作     者：Zi-xuan Li Guo-lai Yang Feng-jie Xu Li-qun Wang Zi-xuan Li;Guo-lai Yang;Feng-jie Xu;Li-qun Wang

作者机构：School of Mechanical EngineeringNanjing University of Science and TechnologyNanjingPR China 

出 版 物：《Defence Technology（防务技术）》 (Defence Technology)

年 卷 期：2021年第17卷第3期

页      面：884-897页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：the National Natural Science Foundation of China(grant number 301070603) 

主　　题：EMB Intensive impact load Segmented Sensitivity analysis Interval uncertain Optimization 

摘      要：Aiming at the problems of demagnetization effect of electromagnetic buffer(EMB)caused by high velocity under intensive impact load and the difficulty and error of machining composite thin-walled long tube,a segmented EMB is *** inner tube and air-gap are divided into initial segments and the traversing *** theoretical analysis,impact test and simulation,it can be found that the RRF curve has two ***,in order to reduce the resultant resistance force(RRF)peaks,the sensitivity analysis based on optimal Latin hypercube design(OLHD)and polynomial regression was *** results show that the smallest contribution ratio to the dynamic response is the seventh and ninth segments of the inner tube,which are less than 1%.Then,fully considering the uncertain factors,important parameters are selected for uncertain optimization after sensitivity *** interval order and interval probability degree methods are used to establish interval uncertain optimization model of the RRF considering *** model was solved using an interval nested optimization method based on radial basis function(RBF)neural ***,the Pareto front is obtained and numerical simulation is performed to verify the optimal *** indicates that the two kinds of RRF peak is obviously reduced,and the optimization object and strategy are effective.