Journal ArticleDOI
Optimal topology design of continuum structures with stress concentration alleviation via level set method
TLDR
In this paper, the authors developed some effective numerical techniques for designing stiff structures with less stress concentrations, which is achieved by introducing some specific stress measures, which are sensitive to the existence of high local stresses, in the problem formulation and resolving the corresponding optimization problem numerically in a level set framework.Abstract:
1. Abstract Although the phenomenon of stress concentration is of paramount importance to engineers when they are designing load-carrying structures, stiffness is often used as the solely concerned objective or constraint function in the studies of optimal topology design of continuum structures. Sometimes this will lead to optimal designs with severe stress concentrations which may be highly responsible for the fracture, creep and fatigue of structures. Thus, considering stress-related objective or constraint functions in topology optimization problems is very important from both theoretical and application perspectives. It has been known, however, that this kind of problem is very challenging since several difficulties must be overcome in order to solve it effectively. The first difficulty stems from the fact that stress constrained topology optimization problems always suffer from the so-called singularity problem. The second difficulty in stress-related optimization problem is due to the high computational cost caused by the large number of local stress constraints. The conventional treatment of this difficulty with use of the so-called global stress measures cannot give an adequate control of the magnitude of local stress level. The third difficulty is related to the accuracy of stress computation which is greatly influenced by the local geometry of structure. The aim of the present work is to develop some effective numerical techniques for designing stiff structures with less stress concentrations. This is achieved by introducing some specific stress measures, which are sensitive to the existence of high local stresses, in the problem formulation and resolving the corresponding optimization problem numerically in a level set framework. In the first global stress measure, local geometry information such as boundary curvature is introduced while in the second global stress measure, stress gradient is employed to locate the hot points of high local stresses automatically. Our study indicates that with use of the proposed numerical schemes and proposed global stress measures, the intrinsic difficulties mentioned above in stress-related topology optimization of continuum structures can be overcome in a natural way. 2.read more
Citations
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Journal ArticleDOI
Functionally graded lattice structure topology optimization for the design of additive manufactured components with stress constraints
Lin Cheng,Jiaxi Bai,Albert C. To +2 more
TL;DR: In this paper, a novel methodology is proposed to design a lattice structure through topology optimization under stress constraint, in order to generate lightweight lattice structures with predictable yield performance.
Journal ArticleDOI
Explicit feature control in structural topology optimization via level set method
TL;DR: The basic idea is to resort to the level set solution framework and impose constraints on the extreme values of the signed distance level set function used for describing the topology of the structure.
Journal ArticleDOI
Recent Advances on Topology Optimization of Multiscale Nonlinear Structures
Liang Xia,Piotr Breitkopf +1 more
TL;DR: A recently proposed FE2-based design approach is compared, which treats the microscale topology optimization process integrally as a generalized nonlinear constitutive behavior and discusses on the use of model reduction techniques in regard to the prohibitive computational cost.
Journal ArticleDOI
Stress-based shape and topology optimization with the level set method
Renato Picelli,Scott Townsend,Christopher J. Brampton,Julián A. Norato,Hyunsun A. Kim,Hyunsun A. Kim +5 more
TL;DR: In this paper, a level set method is proposed to solve minimum stress and stress-constrained shape and topology optimization problems, where a p-norm stress functional is used to aggregate stresses in a single constraint.
Journal ArticleDOI
Stress-related topology optimization of continuum structures involving multi-phase materials
TL;DR: In this article, a level-set based variational consistent solution framework is proposed for stress-constrained topology optimization of continuum structures involving multi-phase heterogeneous materials.
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
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.
Journal ArticleDOI
Structural optimization using sensitivity analysis and a level-set method
TL;DR: A new numerical method based on a combination of the classical shape derivative and of the level-set method for front propagation, which can easily handle topology changes and is strongly dependent on the initial guess.
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