Computation of Biobjective /Bidisciplinary optimization
(2003) In Fluid Mechanics and its Applications 73. p.271-276- Abstract
- It is well known that a modern fighter should have high aerodynamic performance, i.e., high lift (C L) and low drag (C D), high C L/C D at subsonic speed and low drag at supersonic speed, etc. However, stealthy performance has also become one of the basic requirements to a modern fighter. So the task of a designer today is to shape the aircraft with not only the maximum aerodynamic efficiency but also a low observability. Up to now, reducing radar cross section (RCS) is the most important part of low observable technique for a flight vehicle. These requirements derive the development of multiobjective (MO)/multidisciplinary (MD) optimization. The goal of MO/MD optimization is to obtain one of the needed pareto solution at a minimum... (More)
- It is well known that a modern fighter should have high aerodynamic performance, i.e., high lift (C L) and low drag (C D), high C L/C D at subsonic speed and low drag at supersonic speed, etc. However, stealthy performance has also become one of the basic requirements to a modern fighter. So the task of a designer today is to shape the aircraft with not only the maximum aerodynamic efficiency but also a low observability. Up to now, reducing radar cross section (RCS) is the most important part of low observable technique for a flight vehicle. These requirements derive the development of multiobjective (MO)/multidisciplinary (MD) optimization. The goal of MO/MD optimization is to obtain one of the needed pareto solution at a minimum computing expense. A computational study of biobjective (BO) /bidisciplinary (BD) optimization of airfoils and wings is given in the present paper. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/cfd71386-2c71-4498-afa4-b378a282c7f3
- author
- Zhu, Z. Q. ; Fu, H. Y. ; Yu, R. X. LU and Li, H. M.
- publishing date
- 2003-12-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Design variable, Weighted coefficient, Radar Cross Section, Biobjective Optimization, Subsonic Speed
- host publication
- IUTAM Symposium Transsonicum IV
- series title
- Fluid Mechanics and its Applications
- editor
- SOBIECZKY, H.
- volume
- 73
- pages
- 6 pages
- external identifiers
-
- scopus:84859720239
- ISSN
- 0926-5112
- ISBN
- 1402016085
- 9781402016080
- DOI
- 10.1007/978-94-010-0017-8_41
- language
- English
- LU publication?
- no
- id
- cfd71386-2c71-4498-afa4-b378a282c7f3
- date added to LUP
- 2019-09-13 13:07:19
- date last changed
- 2022-02-15 23:43:21
@inbook{cfd71386-2c71-4498-afa4-b378a282c7f3, abstract = {{It is well known that a modern fighter should have high aerodynamic performance, i.e., high lift (C L) and low drag (C D), high C L/C D at subsonic speed and low drag at supersonic speed, etc. However, stealthy performance has also become one of the basic requirements to a modern fighter. So the task of a designer today is to shape the aircraft with not only the maximum aerodynamic efficiency but also a low observability. Up to now, reducing radar cross section (RCS) is the most important part of low observable technique for a flight vehicle. These requirements derive the development of multiobjective (MO)/multidisciplinary (MD) optimization. The goal of MO/MD optimization is to obtain one of the needed pareto solution at a minimum computing expense. A computational study of biobjective (BO) /bidisciplinary (BD) optimization of airfoils and wings is given in the present paper.}}, author = {{Zhu, Z. Q. and Fu, H. Y. and Yu, R. X. and Li, H. M.}}, booktitle = {{IUTAM Symposium Transsonicum IV}}, editor = {{SOBIECZKY, H.}}, isbn = {{1402016085}}, issn = {{0926-5112}}, keywords = {{Design variable; Weighted coefficient; Radar Cross Section; Biobjective Optimization; Subsonic Speed}}, language = {{eng}}, month = {{12}}, pages = {{271--276}}, series = {{Fluid Mechanics and its Applications}}, title = {{Computation of Biobjective /Bidisciplinary optimization}}, url = {{http://dx.doi.org/10.1007/978-94-010-0017-8_41}}, doi = {{10.1007/978-94-010-0017-8_41}}, volume = {{73}}, year = {{2003}}, }