Cost-Aware Adaptive Design of Experiment with Nonstationary Surrogate Model for Wind Tunnel Testing

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 17
  • Download : 0
This paper proposes a novel adaptive design of experiment (ADoE) framework with cost-aware sampling strategy and nonstationary surrogate model for efficient wind tunnel testing. The ADoE framework, which is based on the Gaussian process, can effectively reduce the required number of an experiment while maintaining its accuracy. The proposed cost-aware sampling strategy augments the framework by selecting cost-efficient experiment points and the nonstationary surrogate model effectively reflects the nonlinearity of the system on the response surface model. The efficacy of the proposed framework has been validated through a virtual experiment using an actual high angle-of-attack wind tunnel test dataset, which is highly nonlinear.
Publisher
The Korean Society for Aeronautical & Space Sciences
Issue Date
2020-02
Language
English
Article Type
Article
Citation

International Journal of Aeronautical and Space Sciences, v.21, no.3, pp.670 - 680

ISSN
2093-274X
DOI
10.1007/s42405-020-00250-1
URI
http://hdl.handle.net/10203/276777
Appears in Collection
AE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0