Structural optimisation of cross-chiral metamaterial structures via genetic algorithm

被引:31
作者
Dong, Jiaqi [2 ]
Hu, Chao [1 ]
Holmes, John [2 ]
Qin, Qing-Hua [1 ]
Xiao, Yi [1 ]
机构
[1] Shenzhen MSU BIT Univ, Dept Engn, Shenzhen 518172, Peoples R China
[2] Australian Natl Univ, Res Sch Elect Energy & Mat Engn, Acton, ACT 2601, Australia
基金
中国国家自然科学基金;
关键词
Auxetic metamaterials; CFRP composites; Artificial neural networks; Fused deposition modelling; Genetic algorithm; MECHANICS;
D O I
10.1016/j.compstruct.2021.115035
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Auxetic metamaterials have garnered the attention from researchers in the past decades due to their advanced mechanical performance unparalleled by naturally occurring materials. Cross-chiral auxetics, as a class of novel auxetic metamaterials, have become the centre of focus in this field of research. In this study, we combined the optimisation prowess of an ANN-aided GA with the modelling capability of FEA, to tackle the puzzling issue of accurately replicating the complex anisotropicity of CFRP material fabricated by FDM 3D printing. In this work, we present a novel approach that utilises a local periodic cell with porosity for mechanical homogenisation of CFRP materials, as well as a curvilinear system established to capture the locally varying orientation of the 3D printed structure. An ANN surrogate model was then trained based on FEA results which was utilised for a GA optimisation to improve the performance of cross-chiral structures printed with CFRP filaments. The optimised structure displays 13.2% greater auxeticity, as well as superior stress distribution, energy absorption and buckling resistance. DIC technology was implemented to verify FEA results. Good coherence was observed between the experimental and simulation data, indicating accurate prediction from the novel model.
引用
收藏
页数:11
相关论文
共 38 条
[1]   Topology optimization of 2D structures with nonlinearities using deep learning [J].
Abueidda, Diab W. ;
Koric, Seid ;
Sobh, Nahil A. .
COMPUTERS & STRUCTURES, 2020, 237
[2]   Elastic constants of 3-, 4-and 6-connected chiral and anti-chiral honeycombs subject to uniaxial in-plane loading [J].
Alderson, A. ;
Alderson, K. L. ;
Attard, D. ;
Evans, K. E. ;
Gatt, R. ;
Grima, J. N. ;
Miller, W. ;
Ravirala, N. ;
Smith, C. W. ;
Zied, K. .
COMPOSITES SCIENCE AND TECHNOLOGY, 2010, 70 (07) :1042-1048
[3]   Auxetic anti-tetrachiral materials: Equivalent elastic properties and frequency band-gaps [J].
Bacigalupo, Andrea ;
De Bellis, Maria Laura .
COMPOSITE STRUCTURES, 2015, 131 :530-544
[4]   Tailored 3D Mechanical Metamaterials Made by Dip-in Direct-Laser-Writing Optical Lithography [J].
Bueckmann, Tiemo ;
Stenger, Nicolas ;
Kadic, Muamer ;
Kaschke, Johannes ;
Froelich, Andreas ;
Kennerknecht, Tobias ;
Eberl, Christoph ;
Thiel, Michael ;
Wegener, Martin .
ADVANCED MATERIALS, 2012, 24 (20) :2710-2714
[5]   Effects of size and surface on the auxetic behaviour of monolayer graphene kirigami [J].
Cai, Kun ;
Luo, Jing ;
Ling, Yiru ;
Wan, Jing ;
Qin, Qing-hua .
SCIENTIFIC REPORTS, 2016, 6
[6]   Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning [J].
Chen, Chun-Teh ;
Gu, Grace X. .
ADVANCED SCIENCE, 2020, 7 (05)
[7]   Nelder-Mead Optimization of Elastic Metamaterials via Machine-Learning-Aided Surrogate Modeling [J].
Dong, Jiaqi ;
Qin, Qing-Hua ;
Xiao, Yi .
INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2020, 12 (01)
[8]   MOLECULAR NETWORK DESIGN [J].
EVANS, KE ;
NKANSAH, MA ;
HUTCHINSON, IJ ;
ROGERS, SC .
NATURE, 1991, 353 (6340) :124-124
[9]   On the Effect of the Mode of Connection between the Node and the Ligaments in Anti-Tetrachiral Systems [J].
Gatt, Ruben ;
Brincat, Jean Pierre ;
Azzopardi, Keith M. ;
Mizzi, Luke ;
Grima, Joseph N. .
ADVANCED ENGINEERING MATERIALS, 2015, 17 (02) :189-198
[10]   A realistic generic model for anti-tetrachiral systems [J].
Gatt, Ruben ;
Attard, Daphne ;
Farrugia, Pierre-Sandre ;
Azzopardi, Keith M. ;
Mizzi, Luke ;
Brincat, Jean-Pierre ;
Grima, Joseph N. .
PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS, 2013, 250 (10) :2012-2019