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Computer Science, Interdisciplinary Applications
Bin Wang, Jiantao Bai, Shanbin Lu, Wenjie Zuo
Summary: This paper proposes a topology optimization method considering both geometrical and load nonlinearities. The method incorporates the pressure loads through the description of geometrically nonlinear finite element formulation. A optimization model is constructed and its effectiveness is validated through numerical examples.
COMPUTERS & STRUCTURES
(2023)
Article
Computer Science, Interdisciplinary Applications
Yanfang Zhao, Guikai Guo, Jiantao Bai, Wenjie Zuo
Summary: This paper proposes a hollow structural topology optimization method considering geometrical nonlinearity using three-dimensional moving morphable bars. Numerical examples demonstrate the effectiveness of this method under large deformation conditions.
ENGINEERING WITH COMPUTERS
(2022)
Article
Chemistry, Physical
David Rybansky, Martin Sotola, Pavel Marsalek, Zdenek Poruba, Martin Fusek
Summary: The spring-loaded camming device (SLCD), commonly known as a friend, is a simple mechanism designed to enhance the safety of climbers by preventing falls. It consists of opposing cams, springs, an operating element, and stems for attaching the climbing rope, allowing for adaptable placement in rock cracks.
Article
Computer Science, Interdisciplinary Applications
Guikai Guo, Yanfang Zhao, Wenjie Zuo
Summary: In this paper, a geometrically nonlinear topology optimization method for three-dimensional structures using moving morphable bars is proposed to reduce design variables and enhance computational efficiency by accelerating the convergence process. The element density function with respect to moving morphable bars is obtained through a Heaviside approximation of distance functions, without the need for coordinate transformation, for deriving geometrically nonlinear finite element analysis and establishing various topology optimization models.
ADVANCES IN ENGINEERING SOFTWARE
(2022)
Article
Computer Science, Interdisciplinary Applications
Yanfang Zhao, Guikai Guo, Xinyu Xie, Wenjie Zuo
Summary: A concurrent topology optimization method is proposed for multiscale hollow design with lattice cells, considering geometrical nonlinearity. Lattice materials and hollow structures possess excellent mechanical properties, which are beneficial for lightweight product design.
ENGINEERING WITH COMPUTERS
(2023)
Article
Computer Science, Interdisciplinary Applications
Yongsheng Han, Bin Xu, Yuanhao Liu
Summary: Topology optimization is widely used in academia and industry, with many computer programs published for educational purposes. This study presents a MATLAB implementation of geometrically nonlinear topology optimization code, requiring a minimal number of lines for key steps such as design parameter initialization and sensitivity calculation.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Abbas Homayouni-Amlashi, Thomas Schlinquer, Abdenbi Mohand-Ousaid, Micky Rakotondrabe
Summary: This paper presents two separate topology optimization MATLAB codes for a piezoelectric plate, utilizing the PEMAP-P method and optimizing variables using the optimality criteria and MMA algorithm. The efficiency of the codes is illustrated through numerical examples, and they are easy to extend to various problem formulations.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Yanfang Zhao, Van-Nam Hoang, Gang-Won Jang, Wenjie Zuo
Summary: This paper introduces a three-dimensional moving morphable bar method to obtain hollow structures directly, which effectively achieves optimized designs. The method involves projecting geometric features and performing Boolean subtraction of two solid bars to obtain three-dimensional hollow moving morphable bars.
ADVANCES IN ENGINEERING SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Hao Deng
Summary: This paper presents an efficient MATLAB code for the discrete adjoint-based level set method, which is suitable for 2D stress-constrained problems. The method advances the design boundaries using discrete adjoint sensitivities and allows for the application of general mathematical programming algorithms to handle multiple constraints.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Prabhat Kumar
Summary: This paper introduces a compact MATLAB code, TOPress, for topology optimization of structures subjected to fluidic pressure loads. The code utilizes the Darcy law and drainage term to model the applied pressure load and calculates load sensitivities using the adjoint-variable method. Benchmark numerical examples are solved to demonstrate the success and efficacy of the code.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Engineering, Multidisciplinary
Yang Liu, Cheng Yang, Peng Wei, Pingzhang Zhou, Jianbin Du
Summary: This paper discusses a new topology optimization method that combines density-based method with level-set description for efficient structural optimization and topological variation. By using a material interpolation with penalty, the update information becomes more distinguished, leading to stable convergence into solid-void solutions. The method is validated through benchmark examples in 2D and 3D, showing advantageous structural representations and better objective function values compared to the widely accepted SIMP method. Several numerical examples and MATLAB codes are provided to demonstrate the method's characteristics.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Yaguang Wang, Zhan Kang
Summary: This paper presents MATLAB implementations of the velocity field level set method for topology optimization, providing codes for 2D and 3D static compliance minimization problems. The method allows for clear and smooth material boundaries in structural designs and enables the use of general mathematical programming algorithms to handle additional constraints efficiently.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Yanfang Zhao, Guikai Guo, Wenjie Zuo
Summary: This paper presents complete MATLAB codes for three-dimensional geometrically nonlinear topology optimization for educational purposes. Two sets of MATLAB codes, one using the SIMP method and the other using the moving morphable bars, can be downloaded from the attachments. The validity of the codes is confirmed through numerical examples during the MATLAB implementation.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Chemistry, Analytical
Euan Langford, Christian Andrew Griffiths, Andrew Rees, Josh Bird
Summary: This paper investigates the forces acting upon the Intraosseous Transcutaneous Amputation Prosthesis and designs a failure feature to prevent bone damage. The study uses MATLAB and ANSYS models to analyze the topology of the prosthesis and suggests further research on designing a fully functional failure feature. Physical testing is necessary for validation of the study's findings.
Article
Computer Science, Interdisciplinary Applications
Zicheng Zhuang, Yi Min Xie, Qing Li, Shiwei Zhou
Summary: This article presents the implementation of topology optimization in unstructured triangular mesh using the TriTOP172 Matlab code. The code eliminates zig-zag boundaries commonly found in rectangular mesh and includes functions for setup, optimization iterations, body-fitted mesh generation, boundary smoothing, and finite element analysis. Numerical examples are provided to demonstrate the algorithm's effectiveness. The code can be extended for complex conceptual design problems in various engineering fields. The educational program is available in the Appendix.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)