Abstract
Concurrent topology optimization of structures and material orientations is a hot topic over the past decades. However, how to avoid the local optima of such problems is quite challenging. To handle this issue, a method combining the discrete material optimization method and continuous fiber orientation optimization method is proposed in our previous work, referred to as discrete-continuous parameterization (DCP), which takes advantage of the global search capability of discrete methods and the full design space of continuous methods. However, the DCP method requires too many design variables, resulting in a huge computational burden. Hence, we provide an improved DCP method to reduce the number of design variables and at the same time without sacrificing the convexity of the optimization problem in this work. In the proposed method, an extended multimaterial interpolation is firstly developed, which is capable of reducing the number of design variables greatly. Then, we integrate the proposed interpolation into the DCP method, generating an improved DCP method for the concurrent optimization of structural topology and fiber orientation. Several benchmark optimization examples show that the proposed method can greatly reduce the risk of falling into local optima with much fewer design variables.
摘要
摘要结构和材料方向的并行拓扑优化是过去几十年来的一个热门话题. 然而, 如何避免此类问题掉入局部最优相当具有挑战性. 为 了解决这个问题, 我们在以前的工作中提出了一种将离散材料优化方法和连续纤维取向优化方法相结合的方法, 称之为离散-连续参数 化(DCP), 该方法同时继承了离散方法的全局搜索能力和连续方法的全设计空间. 然而, DCP方法需要太多设计变量, 导致了巨大的计 算负担. 因此, 我们在本工作中提出了一种改进的DCP方法, 以减少设计变 量的数量, 同时又不牺牲优化问题的凸性. 在该方法中, 我们 提出了一种扩展的多材料插值方法, 该方法能够大大减少设计变量的数量然后, 我们将所提出的插值方法集成到DCP方法中, 最终建 立了结构拓扑和纤维取向协同优化的改进DCP方法. 几个基准优化实例表明, 该方法可以在能大大降低陷入局部最优的风险的同时, 使 用更少的设计变量.
References
O. Sigmund, and K. Maute, Topology optimization approaches, Struct. Multidisc. Optim. 48, 1031 (2013).
Y. Luo, O. Sigmund, Q. Li, and S. Liu, Topology optimization of structures with infill-supported enclosed voids for additive manufacturing, Addit. Manuf. 55, 102795 (2022).
Y. Luo, O. Sigmund, Q. Li, and S. Liu, Additive manufacturing oriented topology optimization of structures with self-supported enclosed voids, Comput. Methods Appl. Mech. Eng. 372, 113385 (2020).
Y. Luo, Q. Li, and S. Liu, Topology optimization of shell-infill structures using an erosion-based interface identification method, Comput. Methods Appl. Mech. Eng. 355, 94 (2019).
J. Zhu, H. Zhou, C. Wang, L. Zhou, S. Yuan, and W. Zhang, A review of topology optimization for additive manufacturing: Status and challenges, Chin. J. Aeronaut. 34, 91 (2021).
Y. Xu, J. Zhu, Z. Wu, Y. Cao, Y. Zhao, and W. Zhang, A review on the design of laminated composite structures: Constant and variable stiffness design and topology optimization, Adv. Compos. Hybrid. Mater. 1, 460 (2018).
H. Ghiasi, D. Pasini, and L. Lessard, Optimum stacking sequence design of composite materials, Part I: Constant stiffness design, Compos. Struct. 90, 1 (2009).
H. Ghiasi, K. Fayazbakhsh, D. Pasini, and L. Lessard, Optimum stacking sequence design of composite materials, Part II: Variable stiffness design, Compos. Struct. 93, 1 (2010).
S. A. Emam, and D. J. Inman, A review on bistable composite laminates for morphing and energy harvesting, Appl. Mech. Rev. 67, 060803 (2015).
J. Chen, Y. Tang, R. Ge, Q. An, and X. Guo, Reliability design optimization of composite structures based on PSO together with FEA, Chin. J. Aeronaut. 26, 343 (2013).
X. Wang, Z. Meng, B. Yang, C. Cheng, K. Long, and J. Li, Reliability-based design optimization of material orientation and structural topology of fiber-reinforced composite structures under load uncertainty, Compos. Struct. 291, 115537 (2022).
L. Esposito, A. Cutolo, M. Barile, L. Lecce, G. Mensitieri, E. Sacco, and M. Fraldi, Topology optimization-guided stiffening of composites realized through automated fiber placement, Compos. Part B-Eng. 164, 309 (2019).
K. Suzuki, and N. Kikuchi, A homogenization method for shape and topology optimization, Comput. Methods Appl. Mech. Eng. 93, 291 (1991).
J. P. Groen, and O. Sigmund, Homogenization-based topology optimization for high-resolution manufacturable microstructures, Int. J. Numer. Meth. Eng. 113, 1148 (2018).
J. P. Groen, J. Wu, and O. Sigmund, Homogenization-based stiffness optimization and projection of 2D coated structures with orthotropic infill, Comput. Methods Appl. Mech. Eng. 349, 722 (2019).
N. Boddeti, Z. Ding, S. Kaijima, K. Maute, and M. L. Dunn, Simultaneous digital design and additive manufacture of structures and materials, Sci. Rep. 8, 15560 (2018).
J. Liu, and A. C. To, Deposition path planning-integrated structural topology optimization for 3D additive manufacturing subject to self-support constraint, Comput.-Aided Des. 91, 27 (2017).
W. Wu, S. Li, X. Qin, W. Liu, X. Cui, H. Li, M. Shi, and H. Liu, Effects of fiber orientation on tool wear evolution and wear mechanism when cutting carbon fiber reinforced plastics, Chin. J. Aeronaut. 36, 549 (2023).
N. Boddeti, D. W. Rosen, K. Maute, and M. L. Dunn, Multiscale optimal design and fabrication of laminated composites, Compos. Struct. 228, 111366 (2019).
Y. Luo, W. Chen, S. Liu, Q. Li, and Y. Ma, A discrete-continuous parameterization (DCP) for concurrent optimization of structural topologies and continuous material orientations, Compos. Struct. 236, 111900 (2020).
T. Nomura, E. M. Dede, J. Lee, S. Yamasaki, T. Matsumori, A. Kawamoto, and N. Kikuchi, General topology optimization method with continuous and discrete orientation design using isoparametric projection, Int. J. Numer. Meth. Eng. 101, 571 (2015).
P. Pedersen, On optimal orientation of orthotropic materials, Struct. Optim. 1, 101 (1989).
P. Pedersen, Bounds on elastic energy in solids of orthotropic materials, Struct. Optim. 2, 55 (1990).
P. Pedersen, On thickness and orientational design with orthotropic materials, Struct. Optim. 3, 69 (1991).
A. R. Díaz, and M. P. Bendsøe, Shape optimization of structures for multiple loading conditions using a homogenization method, Struct. Optim. 4, 17 (1992).
H. C. Cheng, N. Kikuchi, and Z. D. Ma, An improved approach for determining the optimal orientation of orthotropic material, Struct. Optim. 8, 101 (1994).
J. H. Luo, and H. C. Gea, Optimal bead orientation of 3D shell/plate structures, Finite Elem. Anal. Des. 31, 55 (1998).
J. H. Luo, and H. C. Gea, Optimal orientation of orthotropic materials using an energy based method, Struct. Optim. 15, 230 (1998).
X. Yan, Q. Xu, D. Huang, Y. Zhong, and X. Huang, Concurrent topology design of structures and materials with optimal material orientation, Compos. Struct. 220, 473 (2019).
M. Miki, and Y. Sugiyama, Optimum design of laminated composite plates using lamination parameters, AIAA J. 31, 921 (1993).
J. Foldager, J. S. Hansen, and N. Olhoff, A general approach forcing convexity of ply angle optimization in composite laminates, Struct. Optim. 16, 201 (1998).
J. P. Foldager, J. S. Hansen, and N. Olhoff, Optimization of the buckling load for composite structures taking thermal effects into account, Struct. Multidisc. Optim. 21, 14 (2001).
D. Peeters, D. van Baalen, and M. Abdallah, Combining topology and lamination parameter optimisation, Struct. Multidisc. Optim. 52, 105 (2015).
Y. Zhou, T. Nomura, and K. Saitou, Multi-component topology and material orientation design of composite structures (MTO-C), Comput. Methods Appl. Mech. Eng. 342, 438 (2018).
J. Lee, D. Kim, T. Nomura, E. M. Dede, and J. Yoo, Topology optimization for continuous and discrete orientation design of functionally graded fiber-reinforced composite structures, Compos. Struct. 201, 217 (2018).
T. Nomura, A. Kawamoto, T. Kondoh, E. M. Dede, J. Lee, Y. Song, and N. Kikuchi, Inverse design of structure and fiber orientation by means of topology optimization with tensor field variables, Compos. Part B-Eng. 176, 107187 (2019).
R. A. Salas, F. J. Ramirez-Gil, W. Montealegre-Rubio, E. C. N. Silva, and J. N. Reddy, Optimized dynamic design of laminated piezo-composite multi-entry actuators considering fiber orientation, Comput. Methods Appl. Mech. Eng. 335, 223 (2018).
J. Stegmann, and E. Lund, Discrete material optimization of general composite shell structures, Int. J. Numer. Meth. Eng. 62, 2009 (2005).
C. F. Hvejsel, and E. Lund, Material interpolation schemes for unified topology and multi-material optimization, Struct. Multidisc. Optim. 43, 811 (2011).
S. R. Henrichsen, E. Lindgaard, and E. Lund, Robust buckling optimization of laminated composite structures using discrete material optimization considering “worst” shape imperfections, Thin-Walled Struct. 94, 624 (2015).
Y. Xu, Y. Gao, C. Wu, J. Fang, and Q. Li, Robust topology optimization for multiple fiber-reinforced plastic (FRP) composites under loading uncertainties, Struct. Multidisc. Optim. 59, 695 (2019).
M. Bruyneel, SFP—a new parameterization based on shape functions for optimal material selection: application to conventional composite plies, Struct. Multidisc. Optim. 43, 17 (2010).
Y. Zhang, Y. Hou, and S. Liu, A new method ofdiscrete optimization for cross-section selection of truss structures, Eng. Optim. 46, 1052 (2013).
T. Gao, W. H. Zhang, and P. Duysinx, Simultaneous design of structural layout and discrete fiber orientation using bi-value coding parameterization and volume constraint, Struct. Multidisc. Optim. 48, 1075 (2013).
T. Gao, W. Zhang, and P. Duysinx, A bi-value coding parameterization scheme for the discrete optimal orientation design of the composite laminate, Int. J. Numer. Meth. Eng. 91, 98 (2012).
H. Ding, and B. Xu, Optimal design of vibrating composite plate considering discrete-continuous parameterization model and resonant peak constraint, Int. J. Mech. Mater. Des. 17, 679 (2021).
Z. Qiu, Q. Li, Y. Luo, and S. Liu, Concurrent topology and fiber orientation optimization method for fiber-reinforced composites based on composite additive manufacturing, Comput. Methods Appl. Mech. Eng. 395, 114962 (2022).
H. Ding, and B. Xu, A novel discrete-continuous material orientation optimization model for stiffness-based concurrent design of fiber composite, Compos. Struct. 273, 114288 (2021).
M. P. Bendsøe, and O. Sigmund, Material interpolation schemes in topology optimization, Arch. Appl. Mech. 69, 635 (1999).
L. Zhang, L. Guo, P. Sun, J. Yan, and K. Long, A generalized discrete fiber angle optimization method for composite structures: Bipartite interpolation optimization, Numer. Meth. Eng. 124, 1211 (2023).
F. Wang, B. S. Lazarov, and O. Sigmund, On projection methods, convergence and robust formulations in topology optimization, Struct. Multidisc. Optim. 43, 767 (2010).
K. Svanberg, The method of moving asymptotes—a new method for structural optimization, Int. J. Numer. Meth. Eng. 24, 359 (1987).
P. Wang, B. Zou, S. Ding, L. Li, and C. Huang, Effects of FDM-3D printing parameters on mechanical properties and microstructure of CF/PEEK and GF/PEEK, Chin. J. Aeronaut. 34, 236 (2021).
X. Yan, M. Lai, D. Huang, Y. Zhang, and X. Huang, Manufacturing-oriented topological design of CFRC structures with variable fiber volume and orientation, Compos. Struct. 310, 116779 (2023).
Acknowledgements This work was supported by the National Natural Science Foundation of China (Grant Nos. 12202154, 12272076, and 52188102), the China Postdoctoral Science Foundation (Grant No. 2022M711249), and the Natural Science Foundation of Hubei Province (Grant No. 2020CFA028).
Author information
Authors and Affiliations
Contributions
Author contributions Yunfeng Luo designed the research, set up the experiment, and wrote the first draft of the manuscript. Shutian Liu helped organize and revise the manuscript, and provided supervision. Zheng Qiu and Yaohui Ma reviewed the manuscript. YongAn Huang helped organize the manuscript and provided supervision.
Corresponding authors
Ethics declarations
Conflict of interestOn behalf of all authors, the corresponding author states that there is no conflict of interest.
Rights and permissions
About this article
Cite this article
Luo, Y., Liu, S., Qiu, Z. et al. Improved discrete-continuous parameterization method for concurrent topology optimization of structures and continuous material orientations. Acta Mech. Sin. 40, 422496 (2024). https://doi.org/10.1007/s10409-023-22496-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10409-023-22496-x