Comparison of Uncertainty Quantification Approaches in a Supersonic Biplane Airfoil Problem-Reference-Cited by-同舟云学术

Comparison of Uncertainty Quantification Approaches in a Supersonic Biplane Airfoil Problem

Published:2017 Issue:1 Volume:60 Page:10-17
ISSN:0549-3811
Container-title:TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES
language:en
Short-container-title:Trans. Japan Soc. Aero. S Sci.

Author:

YAMAZAKI Wataru¹,SUGA Yuki¹

Affiliation:

1. Department of Mechanical Engineering, Nagaoka University of Technology

Publisher

Japan Society for Aeronautical and Space Sciences

Subject

Space and Planetary Science,Aerospace Engineering

Link

https://www.jstage.jst.go.jp/article/tjsass/60/1/60_T-15-59/_pdf

Reference19 articles.

1. 1) Luckring, J. M., Hemsch, M. J., and Morrison, J. H.: Uncertainty in Computational Aerodynamics, AIAA Paper 2003-0409, 2003.

2. 2) Xiu, D. and Karniadakis, G. E.: Modeling Uncertainty in Flow Simulations via Generalized Polynomial Chaos, J. Comput. Phys., 187 (2003), pp. 137–167.

3. 3) Debusschere, B. J., Najm, H. N., Pebay, P. P., Knio, O. M., Ghanem, R. G., and Maitre, O. P. L.: Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes, SIAM J. Sci. Comput., 26, 2 (2004), pp. 698–719.

4. 4) Ghate, D. and Giles, M. B.: Inexpensive Monte Carlo Uncertainty Analysis, Recent Trends in Aerospace Design and Optimization, Tata McGraw-Hill, New Delhi, 2006, pp. 203–210.

5. 5) Hosder, S., Walters, R. W., and Perez, R.: A Non-intrusive Polynomial Chaos Method for Uncertainty Propagation in CFD Simulations, AIAA Paper 2006-891, 2006.

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