Journal ArticleDOI
A novel minimum weight formulation of topology optimization implemented with reanalysis approach
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TLDR
An efficient diagonal quadratic optimization formulation for minimum weight design problem subject to multiple constraints is developed and can achieve lighter weight than those from the established method by the demonstrative numerical test.About:
This article is published in International Journal for Numerical Methods in Engineering.The article was published on 2019-11-02. It has received 19 citations till now. The article focuses on the topics: Topology optimization & Minimum weight.read more
Citations
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Journal ArticleDOI
Fatigue-resistance topology optimization of continuum structure by penalizing the cumulative fatigue damage
TL;DR: The results demonstrate that the proposed approach can achieve lightweight design by simultaneously restricting the maximum fatigue damage by simultaneously solving the established optimization problem by the method of moving asymptotes.
Journal ArticleDOI
Efficient, high-resolution topology optimization method based on convolutional neural networks
TL;DR: In this paper, an efficient, high-resolution topology optimization method is developed based on the superresolution convolutional neural network (SRCNN) technique in the framework of SIMP.
Journal ArticleDOI
An efficient evolutionary structural optimization method for multi-resolution designs
TL;DR: This paper presents a computationally efficient multi-resolution topology optimization framework by establishing a novel bi-directional evolutionary structure optimization (BESO) method based on extended finite element method (XFEM).
Journal ArticleDOI
Iterative reanalysis approximation-assisted moving morphable component-based topology optimization method
Kangjia Mo,Daozhen Guo,Hu Wang +2 more
TL;DR: An Iterative Reanalysis Approximation‐ (IRA) assisted Moving Morphable Components‐ (MMCs) based topology optimization is developed and the results show significant time saving without compromising accuracy.
Journal ArticleDOI
Efficient topology optimization based on DOF reduction and convergence acceleration methods
TL;DR: A gray-scale suppression method is proposed to accelerate the polarization of design variables which accelerates the iteration convergence of the topology optimization and the computational time is only about 7% - 29% compared to the conventional topology optimized method.
References
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Journal ArticleDOI
Generating optimal topologies in structural design using a homogenization method
Martin P. Bendsøe,Noboru Kikuchi +1 more
TL;DR: In this article, the authors present a methodology for optimal shape design based on homogenization, which is related to modern production techniques and consists of computing the optimal distribution in space of an anisotropic material that is constructed by introducing an infimum of periodically distributed small holes in a given homogeneous, i.i.
Book
Topology Optimization: Theory, Methods, and Applications
Martin P. Bendsøe,Ole Sigmund +1 more
TL;DR: In this article, the authors proposed a topology optimization by distribution of isotropic material for truss structures with anisotropic materials, based on the topology design of truss structure.
Journal ArticleDOI
The method of moving asymptotes—a new method for structural optimization
TL;DR: In this article, a new method for non-linear programming in general and structural optimization in particular is presented, in which a strictly convex approximating subproblem is generated and solved.
Journal ArticleDOI
Optimal shape design as a material distribution problem
TL;DR: In this article, various ways of removing this discrete nature of the problem by the introduction of a density function that is a continuous design variable are described. But none of these methods can be used for shape optimization in a general setting.
Journal ArticleDOI
Topology optimization approaches: A comparative review
Ole Sigmund,Kurt Maute +1 more
TL;DR: An overview, comparison and critical review of the different approaches to topology optimization, their strengths, weaknesses, similarities and dissimilarities and suggests guidelines for future research.
Related Papers (5)
Generating optimal topologies in structural design using a homogenization method
Martin P. Bendsøe,Noboru Kikuchi +1 more
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Gen Li,Chunan Tang,Lian-Chong Li +2 more