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Published in Materials & Design, 2022
This paper proposes a gradient-free optimization method by integrating the material-field series expansion (MFSE) topological parameterization and deep neural networks (DNN).
Recommended citation: Zhaoyou Sun, Yaguang Wang, Pai Liu, Yangjun Luo. Topological dimensionality reduction-based machine learning for efficient gradient-free 3D topology optimization. Materials & Design, 2022, 220, 110885. DOI: https://doi.org/10.1016/j.matdes.2022.110885.
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Published in Optics Express, 2022
This work is about topological design of optical metalens by the material-field series expansion method, and the matlab code can be found in my website.
Recommended citation: Zhaoyou Sun, Pai Liu, Yangjun Luo. Anisotropic material-field series expansion for the topological design of optical metalens. Optics Express, 2022, 30(10): 16459-16478. DOI: https://doi.org/10.1364/OE.457715.
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Published in Applied Mathematical Modelling, 2023
This study proposes a topology representation and optimization method for thin-walled structures with directional straight stiffeners using the material-field series expansion and multifield superposition model.
Recommended citation: Zhaoyou Sun, Yaguang Wang, Zhonghao Gao, Yangjun Luo. Topology optimization of thin-walled plates with directional straight stiffeners. Applied Mathematical Modelling, 2023, 113, 640-663. DOI: https://doi.org/10.1016/j.apm.2022.09.027.
Published in Computer Methods in Applied Mechanics and Engineering, 2023
By defining all the microstructures into a unified field, this paper presents a simple but effective multiscale concurrent topology optimization method with multiple connectable microstructures.
Recommended citation: Zhaoyou Sun, Pai Liu, Yangjun Luo. MFSE-based two-scale concurrent topology optimization with connectable multiple micro materials. Computer Methods in Applied Mechanics and Engineering, 2023, 417, 116409. DOI: https://doi.org/10.1016/j.cma.2023.116409.
Published in International Journal of Heat and Mass Transfer, 2024
This work intergated our previous work published in CMAME, 2023 into area-to-point heat conduction case, and design some interesting structures.
Recommended citation: Zhaoyou Sun, Jin Dai, Yaguang Wang, Yangjun Luo*. Multiscale concurrent topology optimization for heat conduction with connectable microstructures, International Journal of Heat and Mass Transfer, 2024, 235, 126222. DOI: https://doi.org/10.1016/j.ijheatmasstransfer.2024.126222.
Published in Computer Methods in Applied Mechanics and Engineering, 2024
By observing the continuous transition characteristics of multiple materials within the ordered-based interpolation scheme, this work proposes a numerical strategy that ensures microstructural connectivity on a one-by-one basis. This method is applied to the design of complex geometries, such as the Armadillo.
Recommended citation: Zhaoyou Sun, Wenbo Liu, Pai Liu, Yangjun Luo. A new multiscale concurrent topology optimization method based on the ordered interpolation and MFSE model. Computer Methods in Applied Mechanics and Engineering, 2024, 430, 117230. DOI: https://doi.org/10.1016/j.cma.2024.117230.
Published in Advances in Engineering Software, 2024
To handle the numerical drawbacks of the Material-Field Series Expansion (MFSE) method, this work defines the material field locally, and promotes the application of this method in various problems. The MATLAB code is also open-source, and can be found on my website.
Recommended citation: Zhaoyou Sun, Tingxi Yuan, Wenbo Liu, Jiaqi He, Tiejun Sui, Yangjun Luo. A multi-regional MFSE topology optimization method for large-scale structures with arbitrary design domains. Advances in Engineering Software, 2024, 198, 103778.
Published in Computer Methods in Applied Mechanics and Engineering, 2025
This work introduces a movable partition region strategy through the relaxation scheme and a piecewise distance projection function. Hence, the macroscopic distribution of different microstructures can be dynamically evolved during the MCTO process.
Recommended citation: Zhaoyou Sun, Qingfang Duan, Yangjun Luo. A movable partition region strategy for multiscale concurrent topology optimization with multiple connectable microstructures. Computer Methods in Applied Mechanics and Engineering, 2025, 445, 118202. DOI: https://doi.org/10.1016/j.cma.2025.118202.
Published in Structural and Multidisciplinary Optimization, 2026
This work provides a systematic and physically grounded comparative investigation of representative material interpolation schemes for density-based TO method, including linear and non-linear assumptions.
Recommended citation: Jike Han, Zhaoyou Sun, Yangjun Luo, Shinji Nishiwaki. Material interpolation in finite strain topology optimization: a comprehensive assessment and ageneralized energy-strain-combined interpolation scheme. Struct Multidisc Optim 69, 122 (2026). https://doi.org/10.1007/s00158-026-04332-8.
Published in Composite Structures, 2026
To mimic the multi-level structures widely present in nature, this study proposes a three-scale concurrent topology optimization strategy. The matlab code can also be found in my website, although it may be a little long-winded.
Recommended citation: Zhaoyou Sun, Qingfang Duan, Yangjun Luo. Three-scale concurrent topology optimization for porous structures. Composite Structures, 2026. DOI: https://doi.org/10.1016/j.compstruct.2026.120258.
Published in International Journal of Engineering Science, 2026
This work revealed that single-material optimization yields configurations that remain virtually unchanged although consider TDMPs, and that introducing diverse temperature-dependent materials enhances design performance.
Recommended citation: Zhaoyou Sun, Jike Han, Shinji Nishiwaki, Yangjun Luo. Multi-material topology optimization for nonlinear heat conduction with temperature-dependent properties, 2026, 226, 104585. DOI: https://doi.org/10.1016/j.ijengsci.2026.104585
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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