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A topology-based in-plane filtering technique for the combined topology and discrete fiber orientation optimization. (English) Zbl 1536.74200

Summary: This work proposes a filtering technique for the concurrent and sequential finite element-based topology and discrete fiber orientation optimization of composite structures. The proposed filter is designed to couple the morphology with the topology of the structural domain throughout the optimization process in a way such that it suppresses the impact of the close-to-void finite elements’ morphology on the overall morphology of the structure while steering at the same time the local fiber orientation towards the neighboring topologically dense areas of the geometry. The functionality of the filter becomes crucial at the boundaries of the optimized structure, where the fiber orientation is forced to conform to the morphology of the local boundaries. The developed filtering technique is incorporated into both the concurrent and sequential finite element-based topology and discrete fiber orientation optimization problem, and the respective optimization problems are formulated for the compliance minimization of the composite structure. To assess the efficacy of the filter, it is demonstrated in the benchmark academic case studies of the 2D Messerschmitt-Bölkow-Blohm and cantilever beams when different state-of-art interpolation techniques are employed for modeling the discrete fiber orientation optimization problem.

MSC:

74P15 Topological methods for optimization problems in solid mechanics

Software:

top.m; top88.m
Full Text: DOI

References:

[1] Blok, L. G.; Longana, M. L.; Yu, H.; Woods, B. K.S., An investigation into 3D printing of fibre reinforced thermoplastic composites. Addit. Manuf., 176-186 (2018)
[2] Pedersen, P., On optimal orientation of orthotropic materials. Struct. Optim., 2, 101-106 (1989)
[3] Cheng, H. C.; Kikuchi, N.; Ma, Z. D., An improved approach for determining the optimal orientation of orthotropic material. Struct. Optim., 2-3, 101-112 (1994)
[4] Stegmann, Jan; Lund, Erik, Discrete material optimization of general composite shell structures. Internat. J. Numer. Methods Engrg., 14, 2009-2027 (2005) · Zbl 1118.74343
[5] Bruyneel, Michaël, SFP-a new parameterization based on shape functions for optimal material selection: application to conventional composite plies. Struct. Multidiscip. Optim., 1, 17-27 (2011)
[6] Bruyneel, M.; Duysinx, P.; Fleury, C.; Gao, T., SFP: Extensions of the Shape Functions with Penalization (SFP) parameterization for composite plies optimization. AIAA J., 10, 979-1006 (2011)
[7] Gao, T.; Zhang, W.; Duysinx, P., A bi-value coding parameterization scheme for the discrete optimal orientation design of the composite laminate. Internat. J. Numer. Methods Engrg., 1, 98-114 (2012) · Zbl 1246.74043
[8] Kiyono, C. Y.; Kiyono, C. Y.; Kiyono, César Y.; Silva, Emílio Carlos Nelli; Reddy, J. N., A novel fiber optimization method based on normal distribution function with continuously varying fiber path. Compos. Struct., 160, 503-515 (2017)
[9] Zhou, M.; Rozvany, G., The COC algorithm, Part II: Topological, geometrical and generalized shape optimization. Comput. Methods Appl. Mech. Engrg., 309-336 (1991)
[10] Lee, Jaewook; Kim, Dongjin; Nomura, Tsuyoshi; Dede, Ercan M.; Yoo, Jeonghoon, Topology optimization for continuous and discrete orientation design of functionally graded fiber-reinforced composite structures. Compos. Struct., 217-233 (2018)
[11] Gao, Jie; Luo, Zhen; Xiao, Mi; Gao, Liang; Li, Peigen, A NURBS-based Multi-Material Interpolation (N-MMI) for isogeometric topology optimization of structures. Appl. Math. Model., 818-843 (2020) · Zbl 1481.74616
[12] Sigmund, Ole; Maute, Kurt, Topology optimization approaches: A comparative review. Struct. Multidiscip. Optim., 6, 1031-1055 (2013)
[13] Wu, Jun; Sigmund, Ole; Groen, J. P., Topology optimization of multi-scale structures: a review. Struct. Multidiscip. Optim. (2021)
[14] Nomura, T.; Dede, E. M.; Lee, J.; Yamasaki, S.; Matsumori, T.; Kawamoto, A.; Kikuchi, N., General topology optimization method with continuous and discrete orientation design using isoparametric projection. Internat. J. Numer. Methods Engrg., 8, 571-605 (2015) · Zbl 1352.74248
[15] Jiang, D.; Hoglund, R.; Smith, D. E., Continuous fiber angle topology optimization for polymer composite deposition additive manufacturing applications. Fibers, 2 (2019)
[16] Zhang, Xiaojia Shelly; Chi, Heng; Zhao, Zhi, Topology optimization of hyperelastic structures with anisotropic fiber reinforcement under large deformations. Comput. Methods Appl. Mech. Engrg. (2021) · Zbl 1506.74315
[17] da Silva, Andre Luis Ferreira; Salas, Ruben Andres; Nelli Silva, Emilio Carlos; Reddy, J. N., Topology optimization of fibers orientation in hyperelastic composite material. Compos. Struct. (2020)
[18] Smith, Hollis; Norato, Julián A., Topology optimization with discrete geometric components made of composite materials. Comput. Methods Appl. Mech. Engrg. (2021) · Zbl 1506.74299
[19] Qiu, Zheng; Li, Quhao; Luo, Yunfeng; Liu, Shutian, Concurrent topology and fiber orientation optimization method for fiber-reinforced composites based on composite additive manufacturing. Comput. Methods Appl. Mech. Engrg. (2022) · Zbl 1507.74327
[20] Gandhi, Yogesh; Minak, Giangiacomo, A review on topology optimization strategies for additively manufactured continuous fiber-reinforced composite structures. Appl. Sci., 21 (2022)
[21] Wang, F.; Lazarov, B. S.; Sigmund, O., On projection methods, convergence and robust formulations in topology optimization. Struct. Multidiscip. Optim., 6, 767-784 (2011) · Zbl 1274.74409
[22] Andreassen, Erik; Clausen, Anders; Schevenels, Mattias; Lazarov, Boyan S.; Sigmund, Ole, Efficient topology optimization in MATLAB using 88 lines of code. Struct. Multidiscip. Optim., 1, 1-16 (2010) · Zbl 1274.74310
[23] Sigmund, O., A 99 line topology optimization code written in Matlab. Struct. Multidiscip. Optim., 2, 120-127 (2001)
[24] Ferrari, F.; Sigmund, O., A new generation 99 line Matlab code for compliance topology optimization and its extension to 3D. Struct. Multidiscip. Optim., 2211-2228 (2020)
[25] Liu, K.; Tovar, A., An efficient 3D topology optimization code written in Matlab. Struct. Multidiscip. Optim., 6, 1175-1196 (2014)
[26] Ypsilantis, Konstantinos-Iason; Faes, Matthias G. R.; Ivens, Jan; Lagaros, Nikos D.; Moens, David, An approach for the concurrent homogenization-based microstructure type and topology optimization problem. Comput. Struct. (2022)
[27] Sigmund, O., Morphology-based black and white filters for topology optimization. Struct. Multidiscip. Optim., 4-5, 401-424 (2007)
[28] Sørensen, S. N.; Sørensen, R.; Lund, E., DMTO -a method for Discrete Material and Thickness Optimization of laminated composite structures. Struct. Multidiscip. Optim., 1, 25-47 (2014)
[29] Kazakis, George; Lagaros, Nikos D., A simple matlab code for material design optimization using reduced order models. Materials, 14, 4972 (2022)
[30] Kazakis, George; Lagaros, Nikos D., Topology optimization based material design for 3D domains using MATLAB. Appl. Sci., 21, 10902 (2022)
[31] Svanberg, K., The method of moving asymptotes - a new method for structural optimization. Internat. J. Numer. Methods Engrg., 2, 359-373 (1987) · Zbl 0602.73091
[32] Papapetrou, Vasileios S.; Patel, Chitrang; Tamijani, Ali Y., Stiffness-based optimization framework for the topology and fiber paths of continuous fiber composites. Composites B (2020)
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