Hybrid surrogate-model-based multi-fidelity efficient global optimization applied to helicopter blade design-Reference-Cited by-同舟云学术

Hybrid surrogate-model-based multi-fidelity efficient global optimization applied to helicopter blade design

Published:2017-09-27 Issue:6 Volume:50 Page:1016-1040
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Ariyarit Atthaphon¹^ORCID,Sugiura Masahiko²,Tanabe Yasutada²,Kanazaki Masahiro¹

Affiliation:

1. Department of Aerospace Engineering, Graduate School of System Design, Tokyo Metropolitan University, Hino-Shi, Tokyo, Japan

2. Institute of Aeronautical Technology, Japan Aerospace Exploration Agency, Chofu, Tokyo, Japan

Funder

Asian Human Resources Fund (AHRF)

Tokyo Metropolitan Government

Tokyo Metropolitan University (TMU)

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2017.1367391

Reference30 articles.

1. Chandrashekarappa, P., and R. Duvigneau. 2007. “Radial Basis Functions and Kriging Metamodels for Aerodynamic Optimization.” Doctoral diss., INRIA.

2. Multifidelity Design Optimization of Low-Boom Supersonic Jets

3. Delfs, Jan W. 2001. “An Overlapped Grid Technique for High Resolution CAA Schemes for Complex Geometries.” Paper presented at the 7th AIAA/CEAS Aeroacoustics Conference and Exhibit, Maastricht, Netherlands, May 28–30.

4. Aerodynamic Shape Optimization of Hovering Rotors Using a Discrete Adjoint of the Reynolds-Averaged Navier–Stokes Equations

5. Multi-fidelity optimization via surrogate modelling

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