Evolutionary level set method for structural topology optimization

Authors:
Haipeng Jia;H. G. Beom;Yuxin Wang;Song Lin;Bo Liu
Affiliations:
Department of Mechanical Engineering, Inha University, 253 Yonghyun-dong, Incheon 402-751, South Korea;Department of Mechanical Engineering, Inha University, 253 Yonghyun-dong, Incheon 402-751, South Korea;Department of Mechanical Engineering, Inha University, 253 Yonghyun-dong, Incheon 402-751, South Korea;Department of Mechanical Engineering, Inha University, 253 Yonghyun-dong, Incheon 402-751, South Korea;Department of Mechanical Engineering, Hebei University of Technology, 8 Dingzigu, Tianjin 300130, PR China
Venue:
Computers and Structures
Year:
2011

Citing 10
Cited 1

Generating optimal topologies in structural design using a homogenization method

Computer Methods in Applied Mechanics and Engineering
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations

Journal of Computational Physics
Structural boundary design via level set and immersed interface methods

Journal of Computational Physics
Level set methods: an overview and some recent results

Journal of Computational Physics
Level set methods for optimization problems involving geometry and constraints I. Frequencies of a two-density inhomogeneous drum

Journal of Computational Physics
Concepts and Applications of Finite Element Analysis

Concepts and Applications of Finite Element Analysis
Topology design of two-dimensional continuum structures using isolines

Computers and Structures
Evolutionary structural optimisation based on boundary representation of NURBS. Part I: 2D algorithms

Computers and Structures
Evolutionary structural optimisation based on boundary representation of NURBS. Part II: 3D algorithms

Computers and Structures
Evolutionary methods for topology optimisation of continuous structures with design dependent loads

Computers and Structures

An isoparametric approach to level set topology optimization using a body-fitted finite-element mesh

Computers and Structures

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes an evolutionary accelerated computational level set algorithm for structure topology optimization. It integrates the merits of evolutionary structure optimization (ESO) and level set method (LSM). Traditional LSM algorithm is largely dependent on the initial guess topology. The proposed method combines the merits of ESO techniques with those of LSM algorithm, while allowing new holes to be automatically generated in low strain energy within the nodal neighboring region during optimization. The validity and robustness of the new algorithm are supported by some widely used benchmark examples in topology optimization. Numerical computations show that optimization convergence is accelerated effectively.