Morphing Wing Structural Optimization Using Opposite-Based Population-Based Incremental Learning and Multigrid Ground Elements
Joint Authors
Sleesongsom, S.
Bureerat, Sujin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-22
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper has twin aims.
Firstly, a multigrid design approach for optimization of an unconventional morphing wing is proposed.
The structural design problem is assigned to optimize wing mass, lift effectiveness, and buckling factor subject to structural safety requirements.
Design variables consist of partial topology, nodal positions, and component sizes of a wing internal structure.
Such a design process can be accomplished by using multiple resolutions of ground elements, which is called a multigrid approach.
Secondly, an opposite-based multiobjective population-based incremental learning (OMPBIL) is proposed for comparison with the original multiobjective population-based incremental learning (MPBIL).
Multiobjective design problems with single-grid and multigrid design variables are then posed and tackled by OMPBIL and MPBIL.
The results show that using OMPBIL in combination with a multigrid design approach is the best design strategy.
OMPBIL is superior to MPBIL since the former provides better population diversity.
Aeroelastic trim for an elastic morphing wing is also presented.
American Psychological Association (APA)
Sleesongsom, S.& Bureerat, Sujin. 2015. Morphing Wing Structural Optimization Using Opposite-Based Population-Based Incremental Learning and Multigrid Ground Elements. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1074601
Modern Language Association (MLA)
Sleesongsom, S.& Bureerat, Sujin. Morphing Wing Structural Optimization Using Opposite-Based Population-Based Incremental Learning and Multigrid Ground Elements. Mathematical Problems in Engineering No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1074601
American Medical Association (AMA)
Sleesongsom, S.& Bureerat, Sujin. Morphing Wing Structural Optimization Using Opposite-Based Population-Based Incremental Learning and Multigrid Ground Elements. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1074601
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074601