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学者姓名：叶红玲
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Abstract ：
Continuous fiber-reinforced polymers (CFRPs) exhibit excellent mechanical properties and designability, offering more opportunities for achieving better structural performance through optimization. However, the high nonconvexity of the concurrent optimization model may result in a suboptimal design. In this paper, a novel topology optimization method for three-dimensional CFRP structures is proposed. The light-weight optimization model with compliance constraint is formulated and solved to obtain an optimal topology and spatial fiber orientation. A local coordinate system is established based on the vectors of principal stress and fiber orientation, the interpolation method is presented to control fiber design variables during iteration, reducing the possibility of local optima. Topology and fiber orientation design variables are updated through the method of moving asymptotes (MMA) after sensitivity analysis. Numerical examples are offered to demonstrate the applicability of proposed method. The influence of different initial fiber orientations, mesh sizes and compliance constraints on the optimization results are discussed. Furthermore, the interpolation strategy is also extended to multi-loaded problems, with effectiveness evaluated through a numerical example. The proposed method offers theoretic support for light-weight design and fiber paths planning of three-dimensional CFRP structures.
Keyword ：
Principal stress orientation Principal stress orientation Light-weight design Light-weight design Fiber orientation optimization Fiber orientation optimization Continuous fiber-reinforced polymer Continuous fiber-reinforced polymer Topology optimization Topology optimization
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| GB/T 7714 | Dong, Yongjia , Ye, Hongling , Xiao, Yang et al. Topology optimization method for light-weight design of three-dimensional continuous fiber-reinforced polymers (CFRPs) structures [J]. | COMPOSITE STRUCTURES , 2025 , 354 . |
| MLA | Dong, Yongjia et al. "Topology optimization method for light-weight design of three-dimensional continuous fiber-reinforced polymers (CFRPs) structures" . | COMPOSITE STRUCTURES 354 (2025) . |
| APA | Dong, Yongjia , Ye, Hongling , Xiao, Yang , Li, Jicheng , Wang, Weiwei . Topology optimization method for light-weight design of three-dimensional continuous fiber-reinforced polymers (CFRPs) structures . | COMPOSITE STRUCTURES , 2025 , 354 . |
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Abstract ：
In this paper, a data-driven topology optimization (TO) method is proposed for the efficient design of three-dimensional heat transfer structures. The presented method is composed of four parts. Firstly, the three-dimensional heat transfer topology optimization (HTTO) dataset, composed of both design parameters and the corresponding HTTO configuration, is established by the solid isotropic material with penalization (SIMP) method. Secondly, a high-performance surrogate model, named ResUNet-assisted generative adversarial nets (ResUNet-GAN), is developed by combining ReUNet and generative and adversarial nets (GAN). Thirdly, the same-resolution (SR) ResUNet-GAN is deployed to design three-dimensional heat transfer configurations by feeding design parameters. Finally, the finite element mesh of the optimized configuration is refined by the cross-resolution (CR) ResUNet-GAN to obtain near-optimal three-dimensional heat transfer configurations. Compared with conventional TO methods, the proposed method has two outstanding advantages: (1) the developed surrogate model establishes the end-to-end mapping from the design parameters to the three-dimensional configuration without any need for optimization iterations and finite element analysis; (2) both the SR ResUNet-GAN and the CR ResUNet-GAN can be employed individually or in combination to achieve each function, according to the needs of heat transfer structures. The data-driven method provides an efficient design framework for three-dimensional practical engineering problems.
Keyword ：
Generative and adversarial network Generative and adversarial network Deep learning Deep learning Heat transfer Heat transfer 3D-topology optimization 3D-topology optimization
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| GB/T 7714 | Li, Jicheng , Ye, Hongling , Wei, Nan et al. Efficient Topology Optimization Design for Three-Dimensional Heat Transfer Structure Based on ResUNet-Involved Generative Adversarial Nets [J]. | ACTA MECHANICA SOLIDA SINICA , 2025 . |
| MLA | Li, Jicheng et al. "Efficient Topology Optimization Design for Three-Dimensional Heat Transfer Structure Based on ResUNet-Involved Generative Adversarial Nets" . | ACTA MECHANICA SOLIDA SINICA (2025) . |
| APA | Li, Jicheng , Ye, Hongling , Wei, Nan , Dong, Yongjia , Wang, Sujun . Efficient Topology Optimization Design for Three-Dimensional Heat Transfer Structure Based on ResUNet-Involved Generative Adversarial Nets . | ACTA MECHANICA SOLIDA SINICA , 2025 . |
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Abstract ：
During the fabrication of thin-walled superalloy structures, materials often undergo complex loading paths and exhibit different mechanical properties compared to those under simple loading paths. For example, when subjected to cyclic loading, superalloy ultrathin sheet exhibits pronounced Bauschinger effect. Furthermore, the achievement of precise forming in thin-walled superalloy components is hindered by size effect. To enhance the forming accuracy of superalloy components, this study systematically investigated the interplay between pre- strain, size effect, and Bauschinger effect, along with their underlying mechanisms. Cyclic deformation mechanical response of GH4169 ultrathin sheets with different thicknesses and grain sizes were thoroughly examined under diverse pre-strain conditions through cyclic shearing test. The evolution laws of Bauschinger parameters, specifically as they relate to varying pre-strains, thicknesses and grain sizes, were further determined. To rationalize these Bauschinger parameter evolution laws, electron backscatter diffraction (EBSD) and transmission electron microscopy (TEM) were used to characterize the microstructure of GH4169 ultrathin sheets. Results indicated that the primary mechanism driving Bauschinger effect in GH4169 ultrathin sheets is the arising of back stress from dislocation slip and accumulation. As the level of pre-strain intensifies, Bauschinger effect becomes more pronounced, which is attributed to the intricate interplay between the evolving densities of moving and forest dislocations. Moreover, as grain size decreases, Bauschinger effect undergoes an enhancement due to changes in moving dislocation density and grain boundary strengthening effect. Conversely, size effect inherent to GH4169 ultrathin sheets exerts a dampening influence on Bauschinger effect. This weakening is intimately tied to surface layer effect, which modulates the dislocation density within GH4169 ultrathin sheets. These intricate interactions underscore the complexity of Bauschinger effect in thin-walled superalloy structures and highlight the need for nuanced approaches in material design and processing.
Keyword ：
Thickness Thickness Pre-strain Pre-strain Grain size Grain size Bauschinger effect Bauschinger effect Size effect Size effect
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| GB/T 7714 | He, Weilin , Meng, Bao , Ye, Hongling et al. Influence of pre-strain and size effect on Bauschinger effect of superalloy ultrathin sheet during microscale cyclic deformation [J]. | MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING , 2025 , 922 . |
| MLA | He, Weilin et al. "Influence of pre-strain and size effect on Bauschinger effect of superalloy ultrathin sheet during microscale cyclic deformation" . | MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING 922 (2025) . |
| APA | He, Weilin , Meng, Bao , Ye, Hongling , Wan, Min . Influence of pre-strain and size effect on Bauschinger effect of superalloy ultrathin sheet during microscale cyclic deformation . | MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING , 2025 , 922 . |
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Abstract ：
Topology optimization is a common approach for material distribution in continuous structure due to its rigorous mathematical theory. However, with the increase of material types in design domain, the computational efficiency of traditional topology optimization for multiple materials problem is greatly decreased. In this paper, a novel deep learning-based topology optimization method is proposed to achieve multi-material structural design for improving computational efficiency. A large number of multi-material topological configurations are simulated by solid isotropic material with penalization (SIMP), to construct multi-material topology optimization dataset. Subsequently, ResUNet involved generative adversarial network (ResUNet-GAN) is developed for high-dimensional mapping from design parameters to the corresponding multi-material topological configuration. Finally, the ResUNet-GAN, trained by the multi-material dataset, is utilized to design multi-material topological configuration. Numerical simulations verify that the well-trained ResUNet-GAN is successfully applied to three types of cases: the cantilever beam with double materials, the cantilever beam with triple materials, and the half-MBB with triple materials. The deep learning-based topology optimization approach is superior to the conventional methods in terms of higher computational efficiency, performing the potential of such a data-driven method to accelerate the calculation of structural optimization design.
Keyword ：
Multiple materials Multiple materials Deep learning Deep learning Generative adversarial network Generative adversarial network Topology optimization Topology optimization
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| GB/T 7714 | Li, Jicheng , Ye, Hongling , Wei, Nan et al. Efficient multi-material topology optimization design with minimum compliance based on ResUNet involved generative adversarial network [J]. | ACTA MECHANICA SINICA , 2024 , 40 (3) . |
| MLA | Li, Jicheng et al. "Efficient multi-material topology optimization design with minimum compliance based on ResUNet involved generative adversarial network" . | ACTA MECHANICA SINICA 40 . 3 (2024) . |
| APA | Li, Jicheng , Ye, Hongling , Wei, Nan , Dong, Yongjia . Efficient multi-material topology optimization design with minimum compliance based on ResUNet involved generative adversarial network . | ACTA MECHANICA SINICA , 2024 , 40 (3) . |
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Abstract ：
风电叶片是风电系统中转化风能的重要组成部件,面向日益增加的能源需求,在设计规模更大且高强轻质的风电叶片时,对其力学性能进行高效仿真分析至关重要。本文建立了风电叶片的有限元模型,通过数值方法对风电叶片的应力应变、模态、谐响应等静动力学性能进行了分析。并基于此利用Simdroid平台开发了材料参数、载荷参数等多参数可调的仿真APP,实现全流程封装的风电叶片高效仿真,为风电叶片的性能预测与优化设计提供有效工具。
Keyword ：
风电叶片 风电叶片 静动力学性能 静动力学性能 APP设计 APP设计
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| GB/T 7714 | 王兴 , 肖扬 , 叶红玲 . 风电叶片静动力学分析与仿真APP设计 [C] //北京力学会第30届学术年会 . 2024 . |
| MLA | 王兴 et al. "风电叶片静动力学分析与仿真APP设计" 北京力学会第30届学术年会 . (2024) . |
| APA | 王兴 , 肖扬 , 叶红玲 . 风电叶片静动力学分析与仿真APP设计 北京力学会第30届学术年会 . (2024) . |
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Abstract ：
复合点阵结构良好的机械及热学性能在工程应用中具有巨大的潜力。本文提出了一种创新的复合点阵结构设计策略,充分发挥极小曲面和桁架点阵结构的力、热学特性,通过对Primitive曲面点阵结构与桁架点阵结构进行互穿复合设计得到新型复合点阵结构。利用数值仿真方法对复合点阵结构开展准静态压缩与流固耦合热传导分析,讨论了曲面壁厚、桁架直径对点阵结构力、热学性能影响;通过准静态压缩实验测试复合点阵阵列结构力学性能并对比验证数值仿真结果。最后,基于航空、航天轻量化-承力-散热多功能一体化点阵设计需求建立了以比弹性模量和散热性能(努塞尔数)为目标的多目标优化模型,使用非支配排序遗传算法进行优化求解,得到了可行解分布和Pareto前沿。研究结果表明互穿复合点阵结构较传统P曲面点阵结构力、热学性能有较大提升,本文所提出结构优化设计框架对实现多性能复合点阵结构设计具有重要意义。
Keyword ：
极小曲面 极小曲面 多目标优化 多目标优化 热传导 热传导 力学性能 力学性能 流固耦合 流固耦合 数值仿真 数值仿真
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| GB/T 7714 | 叶红玲 , 田福威 , 贺炜林 . 基于极小曲面的新型复合点阵结构热力学优化设计 [C] //北京力学会第30届学术年会 . 2024 . |
| MLA | 叶红玲 et al. "基于极小曲面的新型复合点阵结构热力学优化设计" 北京力学会第30届学术年会 . (2024) . |
| APA | 叶红玲 , 田福威 , 贺炜林 . 基于极小曲面的新型复合点阵结构热力学优化设计 北京力学会第30届学术年会 . (2024) . |
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Abstract ：
本文基于ICM方法,以体积分数为约束,最小柔度为优化目标,利用MATLAB实现MBB梁优化,利用增材制造技术改变其内部纤维角度的排布方式并将其打印出来,通过实验的方法,探究不同纤维角度对连续纤维增强复合材料力学性能的影响。
Keyword ：
连续纤维增强复合材料 连续纤维增强复合材料 实验研究 实验研究 纤维角度 纤维角度 增材制造 增材制造
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| GB/T 7714 | 李耀东 , 贺炜林 , 叶红玲 . 纤维角度对3D打印连续纤维增强复合材料纯弯性能实验研究 [C] //北京力学会第30届学术年会 . 2024 . |
| MLA | 李耀东 et al. "纤维角度对3D打印连续纤维增强复合材料纯弯性能实验研究" 北京力学会第30届学术年会 . (2024) . |
| APA | 李耀东 , 贺炜林 , 叶红玲 . 纤维角度对3D打印连续纤维增强复合材料纯弯性能实验研究 北京力学会第30届学术年会 . (2024) . |
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Abstract ：
连续纤维增强复合材料由于优异的比强度、比刚度、可设计性和轻量化特质, 日益受到航空航天等高端装备制造领域的青睐. 3D打印技术的发展改变了连续纤维复合材料结构的生产制造流程, 使复杂结构的自由成型成为可能, 为先进结构材料提供了巨大的设计空间. 为充分发挥先进材料性能优势和3D打印成型灵活性, 研究人员分别从材料性能和结构设计出发, 探索与3D打印连续纤维复合材料相适应的设计制造一体化解决方案, 实现产品创新设计和性能提升. 本文系统性地回顾了面向连续纤维复合材料性能分析、工艺改进和结构优化的研究工作, 结合研究实践对连续纤维复合材料的结构多尺度优化方法进行总结分析, 并对未来先进材料结构设计实时化、功能化、智能化的发展趋势进行探讨和展望.
Keyword ：
工艺优化 工艺优化 多尺度优化 多尺度优化 3D打印 3D打印 力学性能 力学性能 连续纤维复合材料 连续纤维复合材料
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| GB/T 7714 | 叶红玲 , 董永佳 , 毛鹏琪 et al. 3D打印连续纤维复合材料工艺、结构优化研究进展 [J]. | 力学进展 , 2024 , 54 (2) : 391-425 . |
| MLA | 叶红玲 et al. "3D打印连续纤维复合材料工艺、结构优化研究进展" . | 力学进展 54 . 2 (2024) : 391-425 . |
| APA | 叶红玲 , 董永佳 , 毛鹏琪 , 肖扬 , 解佳琳 . 3D打印连续纤维复合材料工艺、结构优化研究进展 . | 力学进展 , 2024 , 54 (2) , 391-425 . |
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Abstract ：
本文提出了一种将Galerkin解耦技术与独立连续映射法(GDT-ICM)相结合的优化设计方法来重新排列孔隙微观结构的布局,解决了由于孔隙分布不合理引起的局部高压问题。
Keyword ：
布局优化 布局优化 多孔介质微结构 多孔介质微结构 Galerkin解耦技术 Galerkin解耦技术
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| GB/T 7714 | 王苏军 , 叶红玲 , 李继承 et al. 多孔介质孔隙微结构布局优化方法 [C] //北京力学会第30届学术年会 . 2024 . |
| MLA | 王苏军 et al. "多孔介质孔隙微结构布局优化方法" 北京力学会第30届学术年会 . (2024) . |
| APA | 王苏军 , 叶红玲 , 李继承 , 董永佳 . 多孔介质孔隙微结构布局优化方法 北京力学会第30届学术年会 . (2024) . |
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Abstract ：
复合材料C型截面薄壁管可通过释放储存的应变能来盘绕和展开,因其重量轻,占用空间小等特点,被广泛应用于航空航天领域。本文为了探究C型杆在卷收过程中的应力分布情况,采用数值仿真方法,基于ABAQUS仿真软件,模拟其压平与卷收两个阶段的动态过程,得出压平过程应力云图与应力变化曲线,以及卷收过程的弯矩变化曲线。最终确定C型杆卷收过程的受力情况。
Keyword ：
C型杆 C型杆 数值仿真 数值仿真 应力分析 应力分析 复合材料 复合材料
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| GB/T 7714 | 金辰昊男 , 叶红玲 , 王星运 . 复合材料C型截面薄壁管卷收过程的应力分析 [C] //北京力学会第30届学术年会 . 2024 . |
| MLA | 金辰昊男 et al. "复合材料C型截面薄壁管卷收过程的应力分析" 北京力学会第30届学术年会 . (2024) . |
| APA | 金辰昊男 , 叶红玲 , 王星运 . 复合材料C型截面薄壁管卷收过程的应力分析 北京力学会第30届学术年会 . (2024) . |
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