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< Page ,Total 39 >
Topology optimization of continuous fiber-reinforced composite (CFRC) structures considering the residual stress in additive manufacturing SCIE
期刊论文 | 2023 | MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
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Abstract :

This work proposes a topology optimization method for continuous fiber-reinforced composite (CFRC) structures with additive manufacturing (AM), which realizes the concurrent optimization of material layout and fiber orientation. The residual stress caused by AM process is constrained to avoid the failure of warpage and distortion. The inherent strain method (ISM) is applied to simplify the calculation of residual stress, the Tsai-Wu criterion and P-norm are incorporated to realize structural failure prediction and local constraint aggregation. Several typical instances are adopted to verify the effectiveness of proposed method, which provides a novel solution for the optimization of CFRC structures fabricated by AM.

Keyword :

residual stress constraint residual stress constraint > > Continuous fiber reinforced composite Continuous fiber reinforced composite additive manufacturing additive manufacturing fiber orientation optimization fiber orientation optimization topology optimization topology optimization

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GB/T 7714 Dong, Yongjia , Ye, Hongling , Yang, Jiaxi et al. Topology optimization of continuous fiber-reinforced composite (CFRC) structures considering the residual stress in additive manufacturing [J]. | MECHANICS OF ADVANCED MATERIALS AND STRUCTURES , 2023 .
MLA Dong, Yongjia et al. "Topology optimization of continuous fiber-reinforced composite (CFRC) structures considering the residual stress in additive manufacturing" . | MECHANICS OF ADVANCED MATERIALS AND STRUCTURES (2023) .
APA Dong, Yongjia , Ye, Hongling , Yang, Jiaxi , Li, Jicheng , Wang, Weiwei . Topology optimization of continuous fiber-reinforced composite (CFRC) structures considering the residual stress in additive manufacturing . | MECHANICS OF ADVANCED MATERIALS AND STRUCTURES , 2023 .
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A systematic design of multifunctional lattice structures with energy absorption and phononic bandgap by topology and parameter optimization SCIE
期刊论文 | 2023 , 14 (3) , 265-285 | INTERNATIONAL JOURNAL OF SMART AND NANO MATERIALS
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Lattice structure can realize excellent multifunctional characteristics because of its huge design space, and the cellular configuration directly affects the lattice structural performance and lightweight. A novel energy-absorbing multifunctional lattice structure with phononic bandgap is presented by topology and parameter optimization in this paper. First, the two-dimensional (2D) cellular configuration is lightweight designed by using independent continuous mapping (ICM) topology optimization method. The 2D cell is reconstructed by geometric parameters and rotated into a three-dimensional (3D) cell by using chiral shape to achieve bandgap. Subsequently, the surrogated model with energy absorption as the object and first-order natural frequency as the constraint is established to optimize a parametric 3D cell based on the Response Surface Methodology (RSM). Finally, the lattice structures are assembled with dodecagonal staggered arrangements to avoid the deformation interference among the adjacent cells. In addition, the lattice structural energy absorption and bandgap characteristics are analyzed and discussed. Compared to Kelvin lattice structure, the optimal lattice structure shows significant improvement in energy absorption efficiency. Besides, the proposed design also performs well in damping characteristics of the high-frequency and wide-bandgap. The lattice structural optimization design framework has great meaning to achieve the equipment structural lightweight and multi-function in the aerospace field.

Keyword :

Multifunctional lattice structure Multifunctional lattice structure energy absorption energy absorption topology optimization topology optimization parameter optimization parameter optimization phononic bandgap phononic bandgap

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GB/T 7714 Ye, Hongling , Shen, Wenjie , Wang, Weiwei et al. A systematic design of multifunctional lattice structures with energy absorption and phononic bandgap by topology and parameter optimization [J]. | INTERNATIONAL JOURNAL OF SMART AND NANO MATERIALS , 2023 , 14 (3) : 265-285 .
MLA Ye, Hongling et al. "A systematic design of multifunctional lattice structures with energy absorption and phononic bandgap by topology and parameter optimization" . | INTERNATIONAL JOURNAL OF SMART AND NANO MATERIALS 14 . 3 (2023) : 265-285 .
APA Ye, Hongling , Shen, Wenjie , Wang, Weiwei , Tao, Ran . A systematic design of multifunctional lattice structures with energy absorption and phononic bandgap by topology and parameter optimization . | INTERNATIONAL JOURNAL OF SMART AND NANO MATERIALS , 2023 , 14 (3) , 265-285 .
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Topology Optimization for Design of Hybrid Lattice Structures with Multiple Microstructure Configurations SCIE
期刊论文 | 2022 , 35 (3) , 367-383 | ACTA MECHANICA SOLIDA SINICA
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Hybrid lattice structures consisting of multiple microstructures have drawn much attention due to their excellent performance and extraordinary designability. This work puts forward a novel design scheme of lightweight hybrid lattice structures based on independent continuous mapping (ICM) method. First, the effective elastic properties of various microstructure configurations serve as a bridge between the macrostructure and the multiple microstructures by the homogenization theory. Second, a concurrent topology optimization model for seeking optimized macroscale topology and the specified microstructures is established and solved by a generalized multi-material interpolation formulation and sensitivity analysis. Third, several numerical examples show that hybrid lattice structures with different anisotropic configurations accomplish a better lightweight effect than those with various orthogonal configurations, which verifies the feasibility of the presented method. Hence, anisotropic configurations are more conducive to the sufficient utilization of constitutive material. The proposed scheme supplies a reference for the design of hybrid lattice structures and extends the application field of the ICM method.

Keyword :

Topology optimization Topology optimization Hybrid lattice structures Hybrid lattice structures ICM method ICM method Anisotropic Anisotropic Multiple microstructure configurations Multiple microstructure configurations

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GB/T 7714 Wei, Nan , Ye, Hongling , Zhang, Xing et al. Topology Optimization for Design of Hybrid Lattice Structures with Multiple Microstructure Configurations [J]. | ACTA MECHANICA SOLIDA SINICA , 2022 , 35 (3) : 367-383 .
MLA Wei, Nan et al. "Topology Optimization for Design of Hybrid Lattice Structures with Multiple Microstructure Configurations" . | ACTA MECHANICA SOLIDA SINICA 35 . 3 (2022) : 367-383 .
APA Wei, Nan , Ye, Hongling , Zhang, Xing , Li, Jicheng , Sui, Yunkang . Topology Optimization for Design of Hybrid Lattice Structures with Multiple Microstructure Configurations . | ACTA MECHANICA SOLIDA SINICA , 2022 , 35 (3) , 367-383 .
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Lightweight topology optimization of graded lattice structures with displacement constraints based on an independent continuous mapping method SCIE
期刊论文 | 2022 , 38 (4) | ACTA MECHANICA SINICA
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This paper presents a novel topology optimization method to design graded lattice structures to minimize the volume subject to displacement constraints based on the independent continuous mapping (ICM) method. First, the effective elastic properties of graded unit cells are analyzed by the strain energy-based homogenization method. A surrogate model using quartic polynomial interpolation is built to map the independent continuous topological variable to the effective elastic matrix of the unit cell and set up the relationship between the macroscale structure and microscale unit cells. Second, a lightweight topology optimization model is established, which can be transformed into an explicitly standard quadratic programming problem by sensitivity analysis and solved by dual sequential quadratic programming. Third, several numerical examples demonstrate that graded lattice structures have a better lightweight effect than uniform lattice structures, which validates the effectiveness and feasibility of the proposed method. The results show that graded lattice structures become lighter with increasing displacement constraints. In addition, some diverse topological configurations are obtained. This method provides a reference for the graded lattice structure design and expands the application of the ICM method.

Keyword :

Topology optimization Topology optimization Effective properties Effective properties ICM method ICM method Graded lattice structures Graded lattice structures Displacement constraints Displacement constraints

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GB/T 7714 Wei, Nan , Ye, Hongling , Zhang, Xing et al. Lightweight topology optimization of graded lattice structures with displacement constraints based on an independent continuous mapping method [J]. | ACTA MECHANICA SINICA , 2022 , 38 (4) .
MLA Wei, Nan et al. "Lightweight topology optimization of graded lattice structures with displacement constraints based on an independent continuous mapping method" . | ACTA MECHANICA SINICA 38 . 4 (2022) .
APA Wei, Nan , Ye, Hongling , Zhang, Xing , Wang, Weiwei , Sui, Yunkang . Lightweight topology optimization of graded lattice structures with displacement constraints based on an independent continuous mapping method . | ACTA MECHANICA SINICA , 2022 , 38 (4) .
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Stiffness and strength topology optimization for bi-disc systems based on dual sequential quadratic programming SCIE
期刊论文 | 2022 , 123 (17) , 4073-4093 | INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
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Aiming at solving the lightweight design problems for bi-disc systems with consideration of the stiffness and strength simultaneously, a two stage topology optimization framework based on independent continuous and mapping (ICM) method is developed. First, topology optimization formulations are established to guarantee the optimized design satisfying the key nodal displacement and stress constraints. Second, an information function is introduced to realize the transformation of the material properties between elements and components. Composite exponential filter functions are selected to establish the relationship between the properties of elements and corresponding topology design variables. Third, approximate explicit quadratic programming model is obtained by the sensitivity analysis and Taylor expansion. In the process of solving, the duality theory is used to establish the approximate dual model with less design variables. Finally, a series of topology optimization design problems for bi-disc systems are presented and discussed to illustrate the robustness and feasibility of the method. This study finds some new torsional bi-disc designs and can also provide some theoretical references for the lightweight topology optimization of a multicomponent system.

Keyword :

strength strength stiffness stiffness bi-disc systems bi-disc systems topology optimization topology optimization

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GB/T 7714 Wang, Weiwei , Ye, Hongling , Li, Zonghan et al. Stiffness and strength topology optimization for bi-disc systems based on dual sequential quadratic programming [J]. | INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING , 2022 , 123 (17) : 4073-4093 .
MLA Wang, Weiwei et al. "Stiffness and strength topology optimization for bi-disc systems based on dual sequential quadratic programming" . | INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING 123 . 17 (2022) : 4073-4093 .
APA Wang, Weiwei , Ye, Hongling , Li, Zonghan , Sui, Yunkang . Stiffness and strength topology optimization for bi-disc systems based on dual sequential quadratic programming . | INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING , 2022 , 123 (17) , 4073-4093 .
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Cross-resolution topology optimization for geometrical non-linearity by using deep learning SCIE
期刊论文 | 2022 , 65 (4) | STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
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In this paper, a cross-resolution acceleration method for topology optimization is proposed based on deep learning aiming at achieving precise and high-efficiency geometrically non-linear structure design. We develop a cross-resolution Pix2pix neural network (CR-Pix2pix NN) to build the high-dimensional mapping between the low-resolution intermediate configuration (IC) and the corresponding high-resolution optimized configuration. Architecture of CR-Pix2pix NN is composed of a cross-resolution generator and Markovian discriminator. The cross-resolution geometrically non-linear dataset utilized to train the deep learning model is created by solving stress constrained topology optimization model established by independent continuous mapping (ICM) method. The pre-trained CR-Pix2pix NN is capable of accurately predicting the high-resolution optimized configuration by inputting the low-resolution IC with the only one iteration step. Furthermore, the hyperparameters of the developed model are discussed to ensure the performance in accuracy and computational efficiency. The proposed method can be generalized to other precise topology optimization scenarios and engineering design.

Keyword :

Cross-resolution acceleration method Cross-resolution acceleration method CR-Pix2pix NN CR-Pix2pix NN Deep learning Deep learning ICM method ICM method Geometrical non-linearity Geometrical non-linearity

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GB/T 7714 Li, Jicheng , Ye, Hongling , Yuan, Boshuai et al. Cross-resolution topology optimization for geometrical non-linearity by using deep learning [J]. | STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION , 2022 , 65 (4) .
MLA Li, Jicheng et al. "Cross-resolution topology optimization for geometrical non-linearity by using deep learning" . | STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION 65 . 4 (2022) .
APA Li, Jicheng , Ye, Hongling , Yuan, Boshuai , Wei, Nan . Cross-resolution topology optimization for geometrical non-linearity by using deep learning . | STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION , 2022 , 65 (4) .
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Topology Optimization for Hybrid Lattice Compliant Mechanisms with Multiple Microstructures SCIE
期刊论文 | 2022 , 15 (20) | MATERIALS
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Hybrid lattice compliant mechanisms (HLCMs) composed of multiple microstructures have attracted widespread interest due to their superior compliant performance compared to the traditional solid compliant mechanisms. A novel optimization scheme for HLCMs is presented using the independent continuous mapping (ICM) method. Firstly, the effective properties of multiple orthogonal and anisotropic lattice microstructures are obtained by taking advantage of homogenization theory, which are used to bridge the relationship between the macrostructure layout and microstructure recognition. Then, a new parallel topology optimization model for optimizing HLCMs is built via a generalized multi-material, recognizing interpolation scheme with filter functions. In addition, the characterization relationship between independent continuous variables and performance of different elements is established. Sensitivity analysis and linear programming are utilized to solve the optimal model. Lastly, numerical examples with a displacement inverter mechanism and compliant gripper mechanism demonstrate the effectiveness of the proposed method for designing HLCMs with various lattice microstructures. Anisotropic lattice microstructures (ALMs) significantly facilitate the efficient use of constitutive properties of materials. Hence, HLCMs consisting of various ALMs achieve superior compliant performance than counterparts comprising different orthogonal lattice microstructures (OLMs). The presented method offers a reference to optimize HLCMs, as well as promotes the theoretical development and application of the ICM method.

Keyword :

ICM method ICM method compliant mechanisms compliant mechanisms multiple microstructures multiple microstructures hybrid lattice hybrid lattice topology optimization topology optimization

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GB/T 7714 Wei, Nan , Ye, Hongling , Wang, Weiwei et al. Topology Optimization for Hybrid Lattice Compliant Mechanisms with Multiple Microstructures [J]. | MATERIALS , 2022 , 15 (20) .
MLA Wei, Nan et al. "Topology Optimization for Hybrid Lattice Compliant Mechanisms with Multiple Microstructures" . | MATERIALS 15 . 20 (2022) .
APA Wei, Nan , Ye, Hongling , Wang, Weiwei , Li, Jicheng , Tian, Fuwei , Sui, Yunkang . Topology Optimization for Hybrid Lattice Compliant Mechanisms with Multiple Microstructures . | MATERIALS , 2022 , 15 (20) .
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Adjustable mechanical properties design of microstructure by using generative and adversarial network with gradient penalty SCIE
期刊论文 | 2022 , 31 (5) , 1059-1070 | MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
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An intelligent microstructural design method based on deep learning is proposed considering performance indicators that contains boundary information and homogenized elastic modules. Microstructure dataset is established by random boundary method and homogenization method. Random boundary method is proposed to design microstructures under given boundary information, and homogenization method is utilized to acquire homogenized elastic modules. A generative and adversarial network with gradient penalty is developed to establish the high-dimensional mapping between performance indicators and microstructure. The Wasserstein distance is imported to overcome mode collapse. Numerical simulation shows that the pre-trained network successfully achieved corresponding microstructure design by given performance indicators.

Keyword :

random boundary method random boundary method deep learning deep learning Wasserstein distance Wasserstein distance homogenization homogenization Microstructure Microstructure

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GB/T 7714 Li, Jicheng , Ye, Hongling , Zhang, Xing et al. Adjustable mechanical properties design of microstructure by using generative and adversarial network with gradient penalty [J]. | MECHANICS OF ADVANCED MATERIALS AND STRUCTURES , 2022 , 31 (5) : 1059-1070 .
MLA Li, Jicheng et al. "Adjustable mechanical properties design of microstructure by using generative and adversarial network with gradient penalty" . | MECHANICS OF ADVANCED MATERIALS AND STRUCTURES 31 . 5 (2022) : 1059-1070 .
APA Li, Jicheng , Ye, Hongling , Zhang, Xing , Wei, Nan . Adjustable mechanical properties design of microstructure by using generative and adversarial network with gradient penalty . | MECHANICS OF ADVANCED MATERIALS AND STRUCTURES , 2022 , 31 (5) , 1059-1070 .
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基础力学课程教学中非标准化考核模式的探索与实践
期刊论文 | 2022 , 44 (05) , 1206-1212 | 力学与实践
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非标准化考核能够更加真实全面地反映学生学习掌握知识、灵活应用知识以及知识建构的能力,更加有利于培养学生的创新能力、科学思维和质疑精神。本文针对基础力学课程教学进行了非标准化考核模式的探索与实践,以学生的学习成效为导向,以“师生协同、知行合一、育教一体”为教学理念,设计建立了线上线下混合式多元化全过程的考核评价机制,加强学生课堂内外、线上线下学习的评价,提升课程学习的深度、广度和难度。实践表明,非标准化考核模式的实施为基础力学课程教学提供了更加全面合理的课程评价体系。本文考核模式与方法可为基础力学教师提供一些严把质量关的教育教学改革借鉴思路,同时也为学习基础力学的学生提高学业学习水平起到积极的引...

Keyword :

教学质量 教学质量 教学改革 教学改革 基础力学 基础力学 非标准化考核 非标准化考核

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GB/T 7714 叶红玲 , 杨庆生 , 杜家政 et al. 基础力学课程教学中非标准化考核模式的探索与实践 [J]. | 力学与实践 , 2022 , 44 (05) : 1206-1212 .
MLA 叶红玲 et al. "基础力学课程教学中非标准化考核模式的探索与实践" . | 力学与实践 44 . 05 (2022) : 1206-1212 .
APA 叶红玲 , 杨庆生 , 杜家政 , 刘夏 , 尚军军 . 基础力学课程教学中非标准化考核模式的探索与实践 . | 力学与实践 , 2022 , 44 (05) , 1206-1212 .
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基于慕课的工程力学翻转课堂教学实践
期刊论文 | 2022 , 8 (02) , 84-87 | 高教学刊
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Abstract :

适应新工科人才培养需求,课程组创建了包括课程思政与虚拟实验的工程力学慕课,基于慕课完成了3轮翻转课堂教学实践。通过对学生的问卷调查,分析了翻转课堂的优缺点。线上教学给予学生充分自主性,对于难点可多次回放,有问题可在线提出,完成基本教学功能。线下教学可重点强调、深挖知识内涵、扩展知识外延,提高教学的高阶性、创新性和挑战度。线上和线下教学相互补充、相辅相成能够有效提高教学质量和改进教学效果。

Keyword :

慕课 慕课 工程力学 工程力学 问卷调查 问卷调查 金课建设 金课建设 翻转课堂 翻转课堂

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GB/T 7714 杜家政 , 杨庆生 , 叶红玲 et al. 基于慕课的工程力学翻转课堂教学实践 [J]. | 高教学刊 , 2022 , 8 (02) : 84-87 .
MLA 杜家政 et al. "基于慕课的工程力学翻转课堂教学实践" . | 高教学刊 8 . 02 (2022) : 84-87 .
APA 杜家政 , 杨庆生 , 叶红玲 , 王晶 , 刘夏 . 基于慕课的工程力学翻转课堂教学实践 . | 高教学刊 , 2022 , 8 (02) , 84-87 .
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