Article
Engineering, Multidisciplinary
Hongjia Lu, Linwei He, Matthew Gilbert, Filippo Gilardi, Jun Ye
Summary: Additive manufacturing (AM) has rapidly developed and offers the potential to fabricate structurally optimized components. The use of truss topology optimization methods has been effective in identifying optimal forms for highly design free components. However, geometric complexity and overhanging elements often require support structures when using traditional 3-axis AM machines. To eliminate the need for support structures, multi-axis AM machines with 5 or more axes can be used. A novel process-aware truss layout optimization strategy tailored for multi-axis AM machines is proposed in this study, which combines curved printing surface identification with truss layout and geometry optimization. The proposed strategies aim to achieve highly material-efficient structures and fully self-supporting structures with minimal material consumption. The effectiveness of the approach is demonstrated through several examples, showing that fully self-supporting optimized structures can be identified without sacrificing structural performance.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Florent Savine, Francois-Xavier Irisarri, Cedric Julien, Angela Vincenti, Yannick Guerin
Summary: This study proposes an optimization method for producing innovative stiffening layouts for large stiffened cylindrical shell structures in the aerospace industry. The method applies component-based logic on a ground mesh to control sets of beam elements for evaluating optimization objectives and constraints.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Shanshan Zhang, Houmin Li, Yicang Huang
Summary: An improved topology optimization model is proposed for optimizing continuum structures with self-weight loading conditions. The objectives include minimizing the total strain energy of the design domain and minimizing the total displacement of the fixed domain. The model is validated under two-dimensional models and it is found that the optimal structural topology is affected by the ratio of external force to self-weight.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Yue Zhang, Yingchun Shan, Xiandong Liu, Tian He
Summary: This study combines the topology optimization model with gray relational analysis and principal component analysis to improve the impact resistance of lightweight material wheels. By establishing a three-dimensional wheel model and implementing a multi-objective topology optimization approach, optimized wheel topology layouts with improved impact resistance are obtained, providing valuable guidance for practical engineering applications.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Hongjia Lu, Andrew Tyas, Matthew Gilbert, Aleksey Pichugin
Summary: This paper discusses the role of transmissible loads in topology optimization, introducing two main formulations and studying their applicability. Through numerical examples and analytical solutions, the authors demonstrate the potential incorrect structural forms generated by the rigid bar formulation in certain situations. Duality principles are invoked to explain the discrepancy between the two formulations, considering both discrete truss and continuum topology optimization formulations.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Coen Bakker, Lidan Zhang, Kristie Higginson, Fred van Keulen
Summary: This study focuses on optimizing the topology and layout of stiffened shells and plates by introducing modular design and density-based topology optimization. The method is able to generate clear topologies for any number of modules, demonstrating distinct layouts of stiffeners on the base shell or plate.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Multidisciplinary
S. J. Salt, A. G. Weldeyesus, M. Gilbert, J. Gondzio
Summary: Controlling the frequency response of engineering components or structures is crucial in aerospace and automotive sectors. This paper presents a modified truss layout optimization procedure that incorporates semidefinite constraints to limit the minimum value of the first natural frequency, resulting in a more efficient design. An adaptive algorithm is proposed to solve this problem, successfully identifying modified structures with acceptable minimum first natural frequency response.
ENGINEERING OPTIMIZATION
(2023)
Article
Mechanics
M. R. Costa, A. Sohouli, A. Suleman
Summary: This study presents a computationally efficient topology optimization approach for lattice structures, while increasing design flexibility. The proposed two-scale concurrent optimization method achieves optimal topologies by simultaneously optimizing the macro-scale structure and the underlying material micro-structures. Surrogate models and an energy-based homogenization method combined with voxelization are used to represent material and geometrical properties. The optimized graded lattice structure outperforms the uniform lattice structure in terms of performance.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Civil
Dachuan Liu, Yu Wang, Zijie Su, Peng Hao, Xuanxiu Liu, Bo Wang, Gang Li
Summary: A new layout optimization method for stiffened panels is proposed in this paper, which obtains the optimal stiffener layout by optimizing the thickness of each stiffener. The enrichment constraint and its KS function are derived to restrict the excessive concentration of stiffeners. This method provides an explicit stiffener layout design scheme that can be directly imported into CAD system without additional post-processing.
THIN-WALLED STRUCTURES
(2022)
Article
Green & Sustainable Science & Technology
Nicolo Pollini
Summary: This paper presents a novel approach for solving the wind farm layout optimization problem by maximizing annual energy production and imposing constraints on the number and spacing of wind turbines. The proposed approach employs a density-based topology optimization method and penalizes intermediate values to optimize the design variables.
Article
Thermodynamics
Xuefei Yang, Hao Li, Liang Gao
Summary: In this paper, a density-based topology optimization method is proposed to optimize the design of multi-phase infill structures by optimizing the pseudo-density and porosity of each element. The method interpolates the thermal stress coefficient to express the relationship between thermal stress load and design variables. The upper bound of solid material volume fraction is constrained to generate sparse but stable structures. Improved weighting method is used to aggregate multiple objective functions. Numerical examples demonstrate the feasibility and effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Engineering, Aerospace
Yang LI, Tong Gao, Qianying Zhou, Ping Chen, Dezheng Yin, Weihong Zhang
Summary: This study focuses on investigating the thin-walled structures with lattices and stiffeners manufactured using additive manufacturing. A design method based on multi-material topology optimization is proposed to optimize the layout of lattices and stiffeners simultaneously. By treating the representative lattice units as virtual homogeneous materials and modeling stiffeners using solid material, the structural compliance under mass constraint is minimized through multi-material topology optimization. Two applications are presented to demonstrate the detailed design procedure and the advantages of the proposed method over traditional structures.
CHINESE JOURNAL OF AERONAUTICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Ming Li, Yongcun Song, Xingtong Yang, Kai Zhang
Summary: An optimization method is proposed for designing multi-lattice structures with local buckling constraints. A consecutive numerical approach, including macro-field optimization and microstructure embedding, is devised to solve the highly nonlinear large-scale optimization problem. The macro-field optimization finds an optimal elasticity tensor distribution, while an inverse design approach approximates the elasticity tensor under local buckling constraint to embed an appropriate lattice structure. A machine learning approach is used to reduce the number of material/lattice types and computational costs. Numerical examples demonstrate the production of a lattice structure meeting the requirements of overall stiffness and local buckling resistance.
COMPUTERS & STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
Changyoung Yuhn, Yuki Sato, Hiroki Kobayashi, Atsushi Kawamoto, Tsuyoshi Nomura
Summary: Topology optimization is a powerful tool for structural design, but it has mainly been limited to hard materials and static or passively moving objects. Designing soft and actively moving objects, like soft robots, presents challenges due to large deformations and intricate contact interactions. To address these challenges, 4D topology optimization is proposed, which incorporates the time dimension and enables simultaneous optimization of structure and self-actuation. The method utilizes density variables for material and actuator layout, efficiently optimized using gradient-based methods.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Xudong Jiang, Chang Liu, Zongliang Du, Wendong Huo, Xiaoyu Zhang, Feng Liu, Xu Guo
Summary: In this paper, a unified framework for explicit layout/topology optimization of thin-walled structures is introduced. The framework reduces computational cost and improves analysis accuracy, achieves clear material distribution and component placement, and allows easy control of component sizes. The optimized designs can be seamlessly imported into CAD systems, making it highly valuable for practical engineering applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Review
Computer Science, Interdisciplinary Applications
Ji-Hong Zhu, Wei-Hong Zhang, Liang Xia
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2016)
Article
Computer Science, Interdisciplinary Applications
Ji-Hong Zhu, Yu Li, Wei-Hong Zhang, Jie Hou
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2016)
Article
Engineering, Mechanical
Liang Meng, Wei-Hong Zhang, Ji-Hong Zhu, Zhao Xu, Shou-Hu Cai
ACTA MECHANICA SINICA
(2016)
Article
Engineering, Multidisciplinary
Ying Zhou, Weihong Zhang, Jihong Zhu, Zhao Xu
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2016)
Article
Mathematics, Applied
Dan Wang, Weihong Zhang, Jihong Zhu
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2016)
Article
Engineering, Aerospace
Jie Hou, Ji-Hong Zhu, Qing Li
INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING
(2016)
Article
Polymer Science
Sofiane Guessasma, Weihong Zhang, Jihong Zhu
JOURNAL OF APPLIED POLYMER SCIENCE
(2017)
Article
Computer Science, Interdisciplinary Applications
Ji-Hong Zhu, Fei He, Tao Liu, Wei-Hong Zhang, Qinglin Liu, Chong Yang
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2018)
Article
Polymer Science
Sofiane Guessasma, Liu Tao, Sofiane Belhabib, Jihong Zhu, Weihong Zhang, Hedi Nouri
EUROPEAN POLYMER JOURNAL
(2018)
Article
Engineering, Industrial
Tao Liu, Sofiane Guessasma, Jihong Zhu, Weihong Zhang, Hedi Nouri, Sofiane Belhabib
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2018)
Article
Polymer Science
Tao Liu, Sofiane Guessasma, Jihong Zhu, Weihong Zhang, Sofiane Belhabib
EUROPEAN POLYMER JOURNAL
(2018)
Article
Polymer Science
Tao Liu, Sofiane Guessasma, Jihong Zhu, Weihong Zhang
Article
Computer Science, Interdisciplinary Applications
Ji-Hong Zhu, Tao Liu, Wei-Hong Zhang, Yu-Lei Wang, Jin-Tao Wang
Summary: This paper presents a concurrent optimization scheme to suppress structural resonance response by simultaneously optimizing the damping material topology in the viscoelastic layers and the size distribution of the lattice core in sandwich structures. The damping effect is simulated as a hysteretic damping model and full method is used to accurately calculate dynamic responses. Design sensitivities are efficiently derived based on the adjoint method and the Globally Convergent Method of Moving Asymptotes algorithm is adopted.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)