.png){kind=icon}
Return
A new efficient parametric level set method based on radial basis function-finite difference for structural topology optimization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compstruc.2024.107364.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To overcome a significant challenge in traditional parameterized level set methods based on globally supported radial basis functions, we propose employing a local differentiation construction of radial basis functions using finite difference, a technique previously applied to solving partial differential equations but novel in the context of topology optimization. We present a novel parameterized level set method for structural topology optimization of compliance minimization and compliant mechanism, with the main aim of reducing computational costs associated with fully dense matrices when approximating systems with a large number of collocation points. The new scheme implemented with rectangular mesh elements and polygonal mesh generation accommodates both rectangular and complex design domains. Numerical results are provided to demonstrate the algorithm's effectiveness.
Keywords:
Parameterized level set method
Radial basis function generated finite
difference
Compliance
Compliant mechanism
Topology optimization
Journal
C
IF:
4.8
Papers:
6.2K
Citations:
1.7W
Organization
Cited Papers
.png){kind=icon}
ShareSaveStructural topology and shape optimization using a level set method with distance-suppression scheme
OAAI
OAAIShareSaveShareSaveShareSaveShareSave
View more