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Aerodynamic and Stealth Integrated Design of DSI Inlet by Surrogate-Based Multi-Objective Optimization with EHVI Infill Criterion
- Source :
- Xibei Gongye Daxue Xuebao, Vol 37, Iss 5, Pp 918-927 (2019)
- Publication Year :
- 2019
- Publisher :
- EDP Sciences, 2019.
-
Abstract
- To deal with the problem of aerodynamic and stealth integrated optimization of DSI inlet, a multi-objective optimization study on aerodynamic and stealth of the DSI inlet is carry out which based on the deformation of the three-dimensional compression bump surface. The FFD parametric method is used to parameterize the bump surface; CFD calculation based on RANS equations is used to analyze the aerodynamic performance of the DSI inlet, large element physical optical method and uniform theory of diffraction are used to calculate RCS of the DSI inlet; And ASMOPSO algorithm with the Kriging surrogate model which based on the expect hyper-volume improvement infill criterion is adopted for integrated optimization design. The results of DSI inlet aerodynamic and stealth integrated optimization exhibit considerable improvement.
- Subjects :
- 0209 industrial biotechnology
Computer science
Uniform theory of diffraction
kriging surrogate model
02 engineering and technology
Computational fluid dynamics
asmopso algorithm
01 natural sciences
Multi-objective optimization
010305 fluids & plasmas
020901 industrial engineering & automation
0103 physical sciences
expect hyper-volume improvement (ehvi)
dsi inlet
Motor vehicles. Aeronautics. Astronautics
Parametric statistics
geography
Integrated design
geography.geographical_feature_category
business.industry
General Engineering
TL1-4050
Aerodynamics
Inlet
aerodynamic and stealth integrated optimization
Reynolds-averaged Navier–Stokes equations
business
Marine engineering
Subjects
Details
- ISSN :
- 26097125 and 10002758
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
- Accession number :
- edsair.doi.dedup.....e9b4cc5147aa8141f5022eec39856bbd