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International Journal for Multiscale Computational Engineering
Импакт фактор: 1.016 5-летний Импакт фактор: 1.194 SJR: 0.452 SNIP: 0.68 CiteScore™: 1.18

ISSN Печать: 1543-1649
ISSN Онлайн: 1940-4352

Выпуски:
Том 17, 2019 Том 16, 2018 Том 15, 2017 Том 14, 2016 Том 13, 2015 Том 12, 2014 Том 11, 2013 Том 10, 2012 Том 9, 2011 Том 8, 2010 Том 7, 2009 Том 6, 2008 Том 5, 2007 Том 4, 2006 Том 3, 2005 Том 2, 2004 Том 1, 2003

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.2014007814
pages 73-90

STRUCTURE/MATERIAL CONCURRENT OPTIMIZATION OF LATTICE MATERIALS BASED ON EXTENDED MULTISCALE FINITE ELEMENT METHOD

Jun Yan
Department of Engineering Mechanics, State Key Laboratory for Structural Analysis of Industrial Equipment, Dalian University of Technology, Dalian, 116024
Wenbo Hu
Department of Engineering Mechanics, State Key Laboratory for Structural Analysis of Industrial Equipment, Dalian University of Technology, Dalian, 116024
Zunyi Duan
Department of Engineering Mechanics, State Key Laboratory for Structural Analysis of Industrial Equipment, Dalian University of Technology, Dalian, 116024

Краткое описание

This paper presents a concurrent optimization technique for structures composed of ultralight lattice materials. The optimization aims at obtaining the minimum structural compliance by optimizing the structural configuration in macroscale and the size of microcomponents of lattice materials concurrently with the specified base material volume. The microstructure of the lattice materials is assumed to be homogeneous to meet the manufacture practice. Optimization in two scales is integrated into one system with the extended multiscale finite element method. In addition, the influences from the finite size of the material microstructures on the optimal results are studied. The superiority of the concurrent optimization relative to the single-scale design of microstructures is indicated. Numerical experiments under linear and periodic boundary conditions validate the proposed optimization model and algorithm.


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