Analysis of dataset selection for multi-fidelity surrogates for a turbine problem-Reference-Cited by-同舟云学术

Analysis of dataset selection for multi-fidelity surrogates for a turbine problem

Published:2018-05-25 Issue:6 Volume:57 Page:2127-2142
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Guo Zhendong,Song Liming,Park Chanyoung,Li Jun,Haftka Raphael T.^ORCID

Funder

China Scholarship Council

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

http://link.springer.com/article/10.1007/s00158-018-2001-8/fulltext.html

Reference24 articles.

1. ANSYS, 2010, ANSYS CFX-Solver Theory Guide, Release 13.0. ANSYS Inc., Canonsburg, PA

2. Arlot S, Alain C (2010) A survey of cross validation procedures for model selection. Stat Surv 4:40–79

3. Cherry DG, Gay CH, Lenahan DT (1982) Energy efficient engine. Low pressure turbine test hardware detailed design report. NASA CR167956

4. Dixon, SL, Cesare H (2013) Fluid mechanics and thermodynamics of turbomachinery. Elsevier Inc, Butterworth-Heinemann

5. Fernández-Godino MG, Park C, Kim NH, Haftka RT (2016) Review of multi-fidelity models. arXIV preprint arXiv:1609.07196. http://arxiv.org/abs/1609.07196

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