Back to Search
Start Over
A new mesh smoothing method based on a neural network.
- Source :
-
Computational Mechanics . Feb2022, Vol. 69 Issue 2, p425-438. 14p. - Publication Year :
- 2022
-
Abstract
- As an elementary mesh quality improvement technique, smoothing has been widely used in finite element (FE) analysis. Heuristic smoothing methods and optimization-based smoothing methods are the two main smoothing types. The former is efficient. However, it operates heuristically and may create low-quality elements. In contrast, optimization-based smoothing is very effective at improving mesh quality. However, it suffers from high computational cost since it calculates the optimal position of a free node iteratively. In this paper, we present a new smoothing method. The proposed method imitates the optimization-based smoothing based on a neural network, but it calculates the optimal position of a free node straightforwardly. Hence, the proposed method is more efficient than these optimization-based smoothing methods while being comparable in terms of mesh quality. We present various testing results to illustrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]
- Subjects :
- *HEURISTIC
Subjects
Details
- Language :
- English
- ISSN :
- 01787675
- Volume :
- 69
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Computational Mechanics
- Publication Type :
- Academic Journal
- Accession number :
- 155185943
- Full Text :
- https://doi.org/10.1007/s00466-021-02097-z