Topology optimization of transient nonlinear heat conduction using an adaptive parameterized level-set method

2020 ◽  
pp. 1-23
Author(s):  
Chungang Zhuang ◽  
Zhenhua Xiong ◽  
Han Ding
Keyword(s):  
Topology Optimization ◽  
Heat Conduction ◽  
Level Set Method ◽  
Level Set ◽  
Nonlinear Heat Conduction

Topology optimization of hyperelastic structures using a level set method

2017 ◽  
Vol 351 ◽  
pp. 437-454 ◽  
Author(s):  
Feifei Chen ◽  
Yiqiang Wang ◽  
Michael Yu Wang ◽  
Y.F. Zhang
Keyword(s):  
Topology Optimization ◽  
Level Set Method ◽  
Level Set

scholarly journals Efficient Local Level Set Method without Reinitialization and Its Appliance to Topology Optimization

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Wenhui Zhang ◽  
Yaoting Zhang
Keyword(s):  
Topology Optimization ◽  
Level Set Method ◽  
Level Set ◽  
Computational Efficiency ◽  
Numerical Stability ◽  
Local Level ◽  
Band Model ◽  
Numerical Process ◽  
Local Level Set ◽  
Narrow Band Model

The local level set method (LLSM) is higher than the LSMs with global models in computational efficiency, because of the use of narrow-band model. The computational efficiency of the LLSM can be further increased by avoiding the reinitialization procedure by introducing a distance regularized equation (DRE). The numerical stability of the DRE can be ensured by a proposed conditionally stable difference scheme under reverse diffusion constraints. Nevertheless, the proposed method possesses no mechanism to nucleate new holes in the material domain for two-dimensional structures, so that a bidirectional evolutionary algorithm based on discrete level set functions is combined with the LLSM to replace the numerical process of hole nucleation. Numerical examples are given to show high computational efficiency and numerical stability of this algorithm for topology optimization.

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