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Journal ArticleDOI

Meshless approximation combined with implicit topology description for optimization of continua

Jinxiong Zhou, +1 more
- 01 Oct 2008 - 
- Vol. 36, Iss: 4, pp 347-353
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TLDR
In this article, the implicit topology description function is integrated into Reproducing Kernel Particle Method and presents a new implementation of topology optimization of continua, which is carried out by using the meshless reproducing kernel approximations.
Abstract
The implicit topology description function method is integrated into Reproducing Kernel Particle Method and presents a new implementation of topology optimization of continua. The structural response analysis and the sensitivity analysis are carried out by using the meshless reproducing kernel approximations. Compared with mesh-based methods, the construction of an explicit mesh and the definition of nodal connectivity are avoided. The differences between the finite element method and the meshless method for topology optimization problems are highlighted. Formulations for imposition of concentrated forces and analysis of sensitivity in meshless method are derived in details. Several two-dimensional linear elastic topology optimization problems are solved successfully by the proposed method. The method is found robust and no checkerboarding is found in our numerical examples. Without any worry of mesh-entanglement, the method is expected to be further developed for the topology optimization of nonlinear structures with large deformations.

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Citations
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Journal ArticleDOI

Level-set methods for structural topology optimization: a review

TL;DR: The convergence behavior of the optimization process is discussed, as well as control over the slope and smoothness of thelevel-set function, hole nucleation and the relation of level-set methods to other topology optimization methods.
Journal ArticleDOI

Recent development in structural design and optimization

TL;DR: A brief description of the current status of structural optimization by reviewing some significant progress made in the last decades is presented.
Journal ArticleDOI

Structural topology optimization based on non-local Shepard interpolation of density field

TL;DR: This method is well suited for a topology optimization problem with a design domain containing higher-order elements or non-quadrilateral elements and has the ability to yield mesh-independent solutions if the radius of the influence domain is reasonably specified.
Journal ArticleDOI

A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems

TL;DR: A set of well-known mathematical benchmark functions are compiled to provide an easily accessible collection of standard benchmark test problems for continuous global optimisation.
Journal ArticleDOI

An isogeometrical approach to structural topology optimization by optimality criteria

TL;DR: It is shown that, dissimilar to the element based SIMP topology optimization, the resulted layouts by this method are independent of the number of the discretizing control points and checkerboard free.
References
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Journal ArticleDOI

Generating optimal topologies in structural design using a homogenization method

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

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

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

Meshless methods: An overview and recent developments

TL;DR: Meshless approximations based on moving least-squares, kernels, and partitions of unity are examined and it is shown that the three methods are in most cases identical except for the important fact that partitions ofunity enable p-adaptivity to be achieved.
Journal ArticleDOI

A level set method for structural topology optimization

TL;DR: A new approach to structural topology optimization that represents the structural boundary by a level set model that is embedded in a scalar function of a higher dimension that demonstrates outstanding flexibility of handling topological changes, fidelity of boundary representation and degree of automation.
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