Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO:A novel hybrid intelligent method
Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO: A novel hybrid intelligent method作者机构:School of Mechanical and Electrical EngineeringUniversity of Electronic Science and Technology of ChinaChengdu611731China Department of Civil EngineeringFaculty of EngineeringUniversity of ZabolP.B.***ZabolIran Division of Computational Mathematics and EngineeringInstitute for Computational ScienceTon Duc Thang UniversityHo Chi Minh CityViet Nam Faculty of Civil EngineeringTon Duc Thang UniversityHo Chi Minh CityViet Nam
出 版 物:《Defence Technology(防务技术)》 (Defence Technology)
年 卷 期:2021年第17卷第1期
页 面:85-99页
核心收录:
学科分类:12[管理学] 08[工学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0806[工学-冶金工程] 0817[工学-化学工程与技术] 081104[工学-模式识别与智能系统] 0805[工学-材料科学与工程(可授工学、理学学位)] 080502[工学-材料学] 0703[理学-化学] 0802[工学-机械工程] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0801[工学-力学(可授工学、理学学位)] 0702[理学-物理学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Adaptive kriging Laminated composite plates Buckling optimization Smooth finite element methods Cell-based smoothed discrete shear gap method(CS-DSG3) Improved PSO
摘 要:An effective hybrid optimization method is proposed by integrating an adaptive Kriging(A-Kriging)into an improved partial swarm optimization algorithm(IPSO)to give a so-called A-Kriging-IPSO for maximizing the buckling load of laminated composite plates(LCPs)under uniaxial and biaxial *** this method,a novel iterative adaptive Kriging model,which is structured using two training sample sets as active and adaptive points,is utilized to directly predict the buckling load of the LCPs and to improve the efficiency of the optimization *** active points are selected from the initial data set while the adaptive points are generated using the radial random-based convex *** cell-based smoothed discrete shear gap method(CS-DSG3)is employed to analyze the buckling behavior of the LCPs to provide the response of adaptive and input data *** buckling load of the LCPs is maximized by utilizing the IPSO *** demonstrate the efficiency and accuracy of the proposed methodology,the LCPs with different layers(2,3,4,and 10 layers),boundary conditions,aspect ratios and load patterns(biaxial and uniaxial loads)are *** results obtained by proposed method are in good agreement with the literature results,but with less computational *** applying adaptive radial Kriging model,the accurate optimal resultsebased predictions of the buckling load are obtained for the studied LCPs.