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[1] |
Guo X, Cheng G D.Recent development in structural design and optimization[J].Acta Mechanica Sinica, 2010, 26(6):807-823. |
[2] |
Michell A G M.LVIII.The limits of economy of material in frame-structures[J].The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 1904, 8(47):589-597. |
[3] |
Cheng K T, Olhoff N.An investigation concerning optimal design of solid elastic plates[J].International Journal of Solids and Structures, 1981, 17(3):305-323. |
[4] |
Bendsøe M P, Kikuchi N.Generating optimal topologies in structural design using a homogenization method[J].Computer Methods in Applied Mechanics and Engineering, 1988, 71(2):197-224. |
[5] |
Bendsøe M P.Optimal shape design as a material distribution problem[J].Structural Optimization, 1989, 1(4):193-202. |
[6] |
Rozvany G I N, Zhou M, Birker T.Generalized shape optimization without homogenization[J].Structural Optimization, 1992, 4(3-4):250-252. |
[7] |
Zhou M, Rozvany G I N.The COC algorithm, Part II:Topological, geometrical and generalized shape optimization[J].Computer Methods in Applied Mechanics and Engineering, 1991, 89(1-3):309-336. |
[8] |
Xie Y M, Steven G P.A simple evolutionary procedure for structural optimization[J].Computers & Structures, 1993, 49(5):885-896. |
[9] |
Allaire G, Jouve F, Toader A M.A level set method for shape optimization[J].Comptes Rendus Mathematique, 2002, 334(12):1125-1130. |
[10] |
Wang M Y, Wang X M, Guo D M.A level set method for structural topology optimization[J].Computer Methods in Applied Mechanics and Engineering, 2003, 192(1-2):227-246. |
[11] |
Guo X, Zhang W S, Zhong W L.Doing topology optimization explicitly and geometrically-A new moving morphable components based framework[J].Journal of Applied Mechanics, 2014, 81(8):081009. |
[12] |
Zhang W S, Yuan J, Zhang J, et al.A new topology optimization approach based on Moving Morphable Components (MMC) and the ersatz material model[J].Structural and Multidisciplinary Optimization, 2016, 53(6):1243-1260. |
[13] |
Zhang W S, Chen J S, Zhu X F, et al.Explicit three dimensional topology optimization via Moving Morphable Void(MMV) approach[J].Computer Methods in Applied Mechanics and Engineering, 2017, 322:590-614. |
[14] |
Sui Y K, Yang D Q.A new method for structural topological optimization based on the concept of independent continuous variables and smooth model[J].Acta Mechanica Sinica, 1998, 14(2):179-185. |
[15] |
Burger M, Stainko R. Phase-field relaxation of topology optimization with local stress constraints[J]. SIAM Journal on Control and Optimization, 2006, 45(4):1447-1466. |
[16] |
Takezawa A, Nishiwaki S, Kitamura M.Shape and topology optimization based on the phase field method and sensitivity analysis[J].Journal of Computational Physics, 2010, 229(7):2697-2718. |
[17] |
Bourdin B, Chambolle A.Design-dependent loads in topology optimization[J].ESAIM:Control, Optimisation and Calculus of Variations, 2003, 9:19-48. |
[18] |
Sokołowski J, Żochowski A.Topological Derivative in Shape Optimization[M].Springer, 2012. |
[19] |
Norato J A, Bendsøe M P, Haber R B, et al.A topological derivative method for topology optimization[J].Structural and Multidisciplinary Optimization, 2007, 33(4-5):375-386. |
[20] |
Zhu J H, Zhang W H, Xia L, et al.Optimal packing configuration design with finite-circle method[J].Journal of Intelligent & Robotic Systems, 2012, 67(3-4):185-199. |
[21] |
Hajela P, Lee E.Genetic algorithms in truss topological optimization[J].International Journal of Solids and Structures, 1995, 32(22):3341-3357. |
[22] |
Shim P Y, Manoochehri S.Generating optimal configurations in structural design using simulated annealing[J].International Journal for Numerical Methods in Engineering, 1997, 40(6):1053-1069. |
[23] |
Luh G C, Lin C Y, Lin Y S.A binary particle swarm optimization for continuum structural topology optimization[J].Applied Soft Computing, 2011, 11(2):2833-2844. |
[24] |
Luh G C, Lin C Y.Structural topology optimization using ant colony optimization algorithm[J].Applied Soft Computing, 2009, 9(4):1343-1353. |
[25] |
Liu L, Yan J, Cheng G D.Optimum structure with homogeneous optimum truss-like material[J].Computers & Structures, 2008, 86(13-14):1417-1425. |
[26] |
Yan J, Cheng G D, Liu L.A uniform optimum material based model for concurrent optimization of thermoelastic structures and materials[J].International Journal for Simulation & Multidisciplinary Design Optimization, 2008, 2(4):259-266. |
[27] |
Niu B, Yan J, Cheng G D.Optimum structure with homogeneous optimum cellular material for maximum fundamental frequency[J].Structural and Multidisciplinary Optimization, 2008, 39(2):115-132. |
[28] |
Fan Z R, Yan J, Wallin M, et al.Multiscale eigenfrequency optimization of multimaterial lattice structures based on the asymptotic homogenization method[J].Structural and Multidisciplinary Optimization, 2020, 61(3):983-998. |
[29] |
Kim Y Y, Yoon G H.Multi-resolution multi-scale topology optimization-A new paradigm[J].International Journal of Solids and Structures, 2000, 37(39):5529-5559. |
[30] |
Jang I G, Kwak B M.Evolutionary topology optimization using design space adjustment based on fixed grid[J].International Journal for Numerical Methods in Engineering, 2006, 66(11):1817-1840. |
[31] |
Aage N, Andreassen E, Lazarov B S.Topology optimization using PETSc:An easy-to-use, fully parallel, open source topology optimization framework[J].Structural and Multidisciplinary Optimization, 2015, 51(3):565-572. |
[32] |
Aage N, Andreassen E, Lazarov B S, et al.Giga-voxel computational morphogenesis for structural design[J].Nature, 2017, 550(7674):84-86. |
[33] |
Hinton G E, Salakhutdinov R R.Reducing the dimensionality of data with neural networks[J].Science, 2006, 313(5786):504-507. |
[34] |
Rumelhart D E, Hinton G E, Williams R J.Learning representations by back-propagating errors[J].Nature, 1986, 323(6088):533-536. |
[35] |
Gatys L A, Ecker A S, Bethge M.Image style transfer using convolutional neural networks[A].2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)[C].2016. |
[36] |
Chiu C C, Sainath T N, Wu Y H, et al. State-of-theart speech recognition with sequence-to-sequence models[A].2018 IEEE International Conference on Acoustics, Speech and Signal[C].2018. |
[37] |
Gehring J, Auli M, Grangier D, et al.Convolutional sequence to sequence learning[A].34th International Conference on Machine Learning, ICML 2017[C].2017. |
[38] |
Farimani A B, Gomes J, Pande V S.Deep learning the physics of transport phenomena[EB/OL].2017. |
[39] |
LeCun Y, Boser B, Denker J S, et al.Backpropagation applied to handwritten zip code recognition[J].Neural Computation, 1989, 1(4):541-551. |
[40] |
Guo X X, Li W, Iorio F.Convolutional neural networks for steady flow approximation[A].Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining[C].2016. |
[41] |
Mirza M, Osindero S.Conditional generative adversarial nets[J].Computer Science, 2014:2672-2680. |
[42] |
Li X, Liu Z L, Cui S Q, et al.Predicting the effective mechanical property of heterogeneous materials by image based modeling and deep learning[J]. Computer Methods in Applied Mechanics and Engineering, 2019, 347:735-753. |
[43] |
Chang D X, Zhang X D, Zheng C W.A genetic algorithm with gene rearrangement for K-means clustering[J].Pattern Recognition, 2009, 42(7):1210-1222. |
[44] |
Liu K, Tovar A, Nutwell E, et al.Towards nonlinear multimaterial topology optimization using unsupervised machine learning and metamodel-based optimization[A].Proceedings of ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference[C].2016. |
[45] |
Salehi H, Burgueño R.Emerging artificial intelligence methods in structural engineering[J].Engineering Structures, 2018, 171(2017):170-189. |
[46] |
Lei X, Liu C, Du Z L, et al.Machine learning-driven real-time topology optimization under moving morphable component-based framework[J].Journal of Applied Mechanics, 2019, 86(1):011004. |
[47] |
Jiang X C, Wang H, Li Y, et al.Machine Learning based parameter tuning strategy for MMC based topology optimization[J].Advances in Engineering Software, 2020, 149:102841. |
[48] |
Svanberg K.The method of moving asymptotes-A new method for structural optimization[J].International Journal for Numerical Methods in Engineering, 1987, 24(2):359-373. |
[49] |
Kumar T, Suresh K.A density-and-strain-based K-clustering approach to microstructural topology optimization[J].Structural and Multidisciplinary Optimization, 2020, 61(4):1399-1415. |
[50] |
Yan J, Sui Q Q, Fan Z R, et al.Clustering-based multiscale topology optimization of thermo-elastic lattice structures[J].Computational Mechanics, 2020, 66(4):979-1002. |
[51] |
Qiu Z, Li Q H, Liu S T, et al.Clustering-based concurrent topology optimization with macrostructure, components, and materials[J].Structural and Multidisciplinary Optimization, 2021, 63(3):1243-1263. |
[52] |
Zhang Y, Gao L, Xiao M.Maximizing natural frequencies of inhomogeneous cellular structures by Kriging-assisted multiscale topology optimization[J].Computers& Structures, 2020, 230:106197. |
[53] |
Zhang Y, Xiao M, Zhang X Y, et al.Topological design of sandwich structures with graded cellular cores by multiscale optimization[J].Computer Methods in Applied Mechanics and Engineering, 2020, 361:112749. |
[54] |
Kleijnen J P C.Kriging metamodeling in simulation:A review[J].European Journal of Operational Research, 2009, 192(3):707-716. |
[55] |
Raponi E, Bujny M, Olhofer M, et al.Kriging-assisted topology optimization of crash structures[J].Computer Methods in Applied Mechanics and Engineering, 2019, 348:730-752. |
[56] |
周志华.机器学习[M].北京:清华大学出版社, 2016.(ZHOU Zhi-hua.Machine Learning[M].Beijing:Tsinghua University Press, 2016.(in Chinese))
|
[57] |
Ulu E, Zhang R S, Kara L B.A data-driven investigation and estimation of optimal topologies under variable loading configurations[J].Computer Methods in Biomechanics and Biomedical Engineering:Imaging & Visualization, 2016, 4(2):61-72. |
[58] |
Deng H, To A C.Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design[J].Computational Mechanics, 2020, 66(2):449-469. |
[59] |
Ranjbar M.Fast vibroacoustic optimization of mechanical structures using artificial neural networks[J].International Journal of Mechanical Engineering and Applications, 2013, 1(3):64. |
[60] |
Ranjbar M, Saffar M G.A sensitivity analysis on application of artificial neural networks in structural acoustics[EB/OL].2016. |
[61] |
Gu G X, Chen C T, Buehler M J.De novo composite design based on machine learning algorithm[J]. Extreme Mechanics Letters, 2018, 18:19-28. |
[62] |
White D A, Arrighi W J, Kudo J, et al.Multiscale topology optimization using neural network surrogate models[J].Computer Methods in Applied Mechanics and Engineering, 2019, 346:1118-1135. |
[63] |
Hoyer S, Sohl-Dickstein J, Greydanus S.Neural reparameterization improves structural optimization[J].2019. |
[64] |
Chandrasekhar A, Suresh K.TOuNN:Topology optimization using neural networks[J].Structural and Multidisciplinary Optimization, 2021, 63(3):1135-1149. |
[65] |
Sosnovik I, Oseledets I.Neural networks for topology optimization[J].Russian Journal of Numerical Analysis and Mathematical Modelling, 2019, 34(4):215-223. |
[66] |
Wang D L, Xiang C, Pan Y, et al.A deep convolutional neural network for topology optimization with perceptible generalization ability[J].Engineering Optimization, 2021:1-16. |
[67] |
Sasaki H, Igarashi H.Topology optimization accelerated by deep learning[J].IEEE Transactions on Magnetics, 2019, 55(6):1-5. |
[68] |
Banga S, Gehani H, Bhilare S, et al.3D topology optimization using convolutional neural networks[EB/OL].2018. |
[69] |
Abueidda D W, Koric S, Sobh N A.Topology optimization of 2D structures with nonlinearities using deep learning[J].Computers & Structures, 2020, 237:106283. |
[70] |
Xue L, Liu J, Wen G L, et al.Efficient, high-resolution topology optimization method based on convolutional neural networks[J].Frontiers of Mechanical Engineering, 2021, 16(1):80-96. |
[71] |
Nakamura K, Suzuki Y.Deep learning-based topological optimization for representing a user-specified design area[EB/OL].2020. |
[72] |
Kollmann H T, Abueidda D W, Koric S, et al.Deep learning for topology optimization of 2D metamaterials[J].Materials & Design, 2020, 196:109098. |
[73] |
Lin Q Y, Hong J, Liu Z, et al.Investigation into the topology optimization for conductive heat transfer based on deep learning approach[J].International Communications in Heat and Mass Transfer, 2018, 97:103-109. |
[74] |
Deng C, Wang Y, Qin C, et al.Self-directed online machine learning for topology optimization[J].2020. |
[75] |
Bi S, Zhang J, Zhang G.Scalable deep-learning-accelerated topology optimization for additively manufactured materials[J].2020:1-9. |
[76] |
Yang L, Kang Z S, Cao X C, et al.Topology optimization based graph convolutional network[A]. Proceedings of the 28th International Joint Conference on Artificial Intelligence[C].2019. |
[77] |
Qian C, Ye W J.Accelerating gradient-based topology optimization design with dual-model artificial neural networks[J].Structural and Multidisciplinary Optimization, 2021, 63(4):1687-1707. |
[78] |
Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial networks[J].Communications of the ACM, 2020, 63(11):139-144. |
[79] |
Yu Y, Hur T, Jung J, et al.Deep learning for determining a near-optimal topological design without any iteration[J].Structural and Multidisciplinary Optimization, 2019, 59(3):787-799. |
[80] |
Rawat S, Shen M H H.A novel topology design approach using an integrated deep learning network architecture[J].2018. |
[81] |
Rawat S, Shen M H.Application of adversarial networks for 3D structural topology optimization[A].SAE Technical Paper Series[C].2019. |
[82] |
Sharpe C, Seepersad C C.Topology design with conditional generative adversarial networks[A]. Proceedings of ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference[C].2019. |
[83] |
Mirza M, Osindero S.Conditional generative adversarial nets[J].2014. |
[84] |
Nie Z G, Lin T, Jiang H L, et al.Topologygan:Topology optimization using generative adversarial networks based on physical fields over the initial domain[J].Journal of Mechanical Design, 2021, 143(3):031715. |
[85] |
Oh S, Jung Y, Kim S, et al.Deep generative design:Integration of topology optimization and generative models[J].Journal of Mechanical Design, 2019, 141(11):1-22. |
[86] |
Shu D L, Cunningham J, Stump G, et al.3D design using generative adversarial networks and physicsbased validation[J].Journal of Mechanical Design, 2020, 142(7):1-51. |
[87] |
Kingma D P, Welling M.Auto-encoding variational bayes[A].2nd International Conference on Learning Representations, ICLR 2014-Conference Track Proceedings[C].2014. |
[88] |
Guo T H, Lohan D J, Cang R J, et al.An indirect design representation for topology optimization using variational autoencoder and style transfer[A].2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference[C].2018. |
[89] |
Zhang Y J, Ye W J.Deep learning-based inverse method for layout design[J].Structural and Multidisciplinary Optimization, 2019, 60(2):527-536. |
[90] |
Yamasaki S, Yaji K, Fujita K.Data-driven topology design using a deep generative model[J].2020. |
[91] |
Tan R K, Zhang N L, Ye W J.A deep learning-based method for the design of microstructural materials[J].Structural and Multidisciplinary Optimization, 2020, 61(4):1417-1438. |
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