Uncertainty Quantification for a Flapping Airfoil with Chordwise Flexure

Liang Yu Zhao; Cheng You Xing; Xia Qing Zhang

doi:10.4028/www.scientific.net/AMR.308-310.1448

Paper Titles

Design and Manufacture of a Miniature UAV Using 3D Rapid Prototyping
p.1426

Transformer Neutral Point Protection Configuration and Tuning
p.1436

DCS Control on Melamine System
p.1440

Research on Thermal Effect and Mode Properties of a Q-Switched Laser by Using Shack-Hartmann Wavefront Sensor
p.1444

Uncertainty Quantification for a Flapping Airfoil with Chordwise Flexure
p.1448

Research on Influencing Factors for Stirring Effect of Blender Truck
p.1454

Designing of Temperature and Thermal Displacement Measurement System in Machine Tools
p.1459

Finite Element Simulation of High-Speed Hard Turning
p.1465

A Self-Control Assembly Machine Based on Vision System
p.1471

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 308-310Uncertainty Quantification for a Flapping Airfoil...

Uncertainty Quantification for a Flapping Airfoil with Chordwise Flexure

Abstract:

The uncertainty quantification for a flexible flapping airfoil was investigated using the point-collocation non-intrusive polynomial chaos method. The chordwise flexible amplitude was assumed to obey a normal distribution. It is observed that the time-averaged thrust coefficient obeys a Gauss-like but not the exact Gauss distribution, while the probability of the propulsive efficiency is much different from the exact Gauss distribution. The effect of the chordwise flexure on the time-averaged thrust coefficient is much larger than the effect on the propulsive efficiency. This work could be a preparation for the robust design of a flexible flapping wing with respect to a stochastic chordwise flexure.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 308-310)

Pages:

1448-1453

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.308-310.1448

Citation:

Cite this paper

Online since:

August 2011

Authors:

Liang Yu Zhao, Cheng You Xing, Xia Qing Zhang

Keywords:

Flapping Airfoil, Flexure, Non-Intrusive Polynomial Chaos, Uncertainty Quantification

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] J.M. McMichael, M.S. Francis: DARPA, USA, 1997.

Google Scholar

[2] T.L. Daniel, S.A. Combes: Integrative & Comparative Biology, Vol. 42 (2002), pp.1044-1049.

Google Scholar

[3] J.M. Miao, M.H. Ho: Journal of Fluids and Structures, Vol. 22 (2006), pp.401-411.

Google Scholar

[4] S. Heathcote, Z. Wang, I. Gursul: Journal of Fluids and Structures, Vol. 24 (2008), pp.183-189.

Google Scholar

[5] J. Tang, S. Chimakruthi, R. Palacios, C. Cesnik, W. Shyy, in: Proceeding of 46th AIAA Aerospace Sciences Meeting and Exhibit, AIAA-2008-0615.

DOI: 10.2514/6.2008-615

Google Scholar

[6] W. Shyy, H. Aono, S. Chimakruthi, P. Trizila, C.K. Kang, C. Cesnik, H. Liu: Progress in Aerospace Sciences, Vol. 46, No. 7 (2010), p.284–327.

DOI: 10.1016/j.paerosci.2010.01.001

Google Scholar

[7] M.F. Platzer, K.D. Jones, J .Young, and J.C.S Lai: AIAA J., Vol. 46, No.9 (2008), pp.2136-2148.

Google Scholar

[8] K.D. Jones, and M.F. Platzer, in: Proceeding of 44th AIAA Aerospace Sciences Meeting and Exhibit, AIAA-2006-0037 (2006).

DOI: 10.2514/6.2006-500

Google Scholar

[9] L. Zhao, X. Zhang: Advanced Materials Research, Vols. 201-203 (2011), pp.1209-1212.

Google Scholar

[10] L. Zhao, S. Yang: Mathematical Problems in Engineering, Vol. 2010, 19 pages.

Google Scholar

[11] N. Wiener: American Journal of Mathematics, Vol. 60, No. 4 (1938), pp.897-936.

Google Scholar

[12] D. Xiu, E. Karniadakis: Journal of Scientific Computing, Vol. 24, No. 2 (2002), pp.619-644.

Google Scholar

[13] R. Walters, in: Proceeding of 41st Aerospace Sciences Meeting and Exhibit, AIAA-2003-413 (2003).

Google Scholar

[14] L. Zhao, S. Yang, in: Proceeding of the 6th International Conference on Intelligent Unmanned systems (2010).

Google Scholar