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A novel parallel method for layup optimization of composite structures with ply drop-offs.
- Source :
-
Composite Structures . May2023, Vol. 312, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- This paper presents a novel parallel optimization method for obtaining blended layups of composite laminates which closely match target lamination parameters. Firstly, a guide-based adaptive genetic algorithm (GAGA) which stochastically searches the layups is developed. Then the parallel optimization method DLBB-GAGA is developed by combining GAGA and a dummy layerwise branch and bound method (DLBB) which performs a logic-based search in a parallel computation, during which optimization information is shared between the two methods. The combination of these two different methods gives the parallel DLBB-GAGA method the advantages of both, enhancing the searching ability for the blended layup optimization. The superiority of the parallel DLBB-GAGA method is demonstrated through comparisons between the three methods, and it is concluded that the method is particularly effective for practical design where more layup design constraints are considered. [ABSTRACT FROM AUTHOR]
- Subjects :
- *COMPOSITE structures
*GENETIC algorithms
*INFORMATION sharing
Subjects
Details
- Language :
- English
- ISSN :
- 02638223
- Volume :
- 312
- Database :
- Academic Search Index
- Journal :
- Composite Structures
- Publication Type :
- Academic Journal
- Accession number :
- 162539001
- Full Text :
- https://doi.org/10.1016/j.compstruct.2023.116853