A second-order reduced homogenization for nonlinear structures with periodic configurations in cylindrical coordinates

被引:1
|
作者
Yang, Zhiqiang [1 ,2 ]
Li, Ming [1 ]
Sun, Yi [1 ]
Huang, Shanqiao [1 ]
Ma, Qiang [3 ]
Cui, Junzhi [4 ]
机构
[1] Harbin Inst Technol, Dept Astronaut Sci & Mech, Harbin 150001, Peoples R China
[2] Dalian Univ Technol, State Key Lab Struct Anal Ind Equipment, Dalian 116024, Peoples R China
[3] Sichuan Univ, Coll Math, Chengdu 610043, Peoples R China
[4] Chinese Acad Sci, Acad Math & Syst Sci, LSEC ICMSEC, Beijing 100190, Peoples R China
关键词
Homogenization; Multiscale asymptotic expansion; SORH algorithms; Cylindrical structures; ENHANCED COMPUTATIONAL HOMOGENIZATION; MULTISCALE ENRICHMENT METHOD; FINITE-ELEMENT-METHOD; HETEROGENEOUS MATERIALS; MECHANICAL-PROPERTIES; COMPOSITE-MATERIALS; BEHAVIOR; MODEL; FORMULATION; STRESS;
D O I
10.1016/j.apm.2023.02.010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A high-efficiency second-order reduced homogenization (SORH) method is established for the inelastic problem of periodic heterogeneous structures in cylindrical coordinate. The composite structures investigated in this paper are periodical in radial, axial and circum-ferential directions. The new second-order linear/nonlinear local solutions at microscale are given by introducing various multiscale auxiliary functions. And, the nonlinear high -order homogenization solutions are obtained at macroscale using a modified asymptotic expansion method. The significant novelties of the work are (i) an effective reduced model on the basis of transformation field analysis given to solve the nonlinear multiscale prob-lems in cylindrical coordinates with less computational amount and (ii) a new second -order nonlinear multiscale algorithm established using asymptotic expansion technique for simulating the heterogeneous cylindrical structure. Finally, by three typical numerical ex-amples including nonlinear elastic and elasto-plastic periodic problems, the validity and accuracy of the proposed algorithms are verified.(c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页码:1 / 26
页数:26
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