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Novel uncertainty propagation method for robust aerodynamic design

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Novel uncertainty propagation method for robust aerodynamic design. / Padulo, Mattia; Campobasso, Sergio; Guenov, Marin.
In: AIAA Journal, Vol. 49, No. 3, 03.2011, p. 530-543.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Padulo, M, Campobasso, S & Guenov, M 2011, 'Novel uncertainty propagation method for robust aerodynamic design', AIAA Journal, vol. 49, no. 3, pp. 530-543. https://doi.org/10.2514/1.J050448

APA

Padulo, M., Campobasso, S., & Guenov, M. (2011). Novel uncertainty propagation method for robust aerodynamic design. AIAA Journal, 49(3), 530-543. https://doi.org/10.2514/1.J050448

Vancouver

Padulo M, Campobasso S, Guenov M. Novel uncertainty propagation method for robust aerodynamic design. AIAA Journal. 2011 Mar;49(3):530-543. doi: 10.2514/1.J050448

Author

Padulo, Mattia ; Campobasso, Sergio ; Guenov, Marin. / Novel uncertainty propagation method for robust aerodynamic design. In: AIAA Journal. 2011 ; Vol. 49, No. 3. pp. 530-543.

Bibtex

@article{4c8194e29bfd47b2814833542d4db454,
title = "Novel uncertainty propagation method for robust aerodynamic design",
abstract = "Starting from a comparative study of various methods for uncertainty propagation, this paper presents a novel reduced quadrature technique to be used in gradient-based robust design optimization of aerodynamic shapes. The accuracy and computational efficiency of the method are investigated by means of mathematical analyses and numerical examples. The method is then applied to the robust design of airfoils under probabilistic uncertainty. It is shown that the solutions obtained through the proposed method can outperform those obtained through linearization, without any significant increase in computational cost.",
keywords = "uncertainty analysis, univariate reduced quadrature, Monte Carlo methods , probabilistic aeronautical design , transonic aerodynamics",
author = "Mattia Padulo and Sergio Campobasso and Marin Guenov",
year = "2011",
month = mar,
doi = "10.2514/1.J050448",
language = "English",
volume = "49",
pages = "530--543",
journal = "AIAA Journal",
issn = "0001-1452",
publisher = "American Institute of Aeronautics and Astronautics Inc. (AIAA)",
number = "3",

}

RIS

TY - JOUR

T1 - Novel uncertainty propagation method for robust aerodynamic design

AU - Padulo, Mattia

AU - Campobasso, Sergio

AU - Guenov, Marin

PY - 2011/3

Y1 - 2011/3

N2 - Starting from a comparative study of various methods for uncertainty propagation, this paper presents a novel reduced quadrature technique to be used in gradient-based robust design optimization of aerodynamic shapes. The accuracy and computational efficiency of the method are investigated by means of mathematical analyses and numerical examples. The method is then applied to the robust design of airfoils under probabilistic uncertainty. It is shown that the solutions obtained through the proposed method can outperform those obtained through linearization, without any significant increase in computational cost.

AB - Starting from a comparative study of various methods for uncertainty propagation, this paper presents a novel reduced quadrature technique to be used in gradient-based robust design optimization of aerodynamic shapes. The accuracy and computational efficiency of the method are investigated by means of mathematical analyses and numerical examples. The method is then applied to the robust design of airfoils under probabilistic uncertainty. It is shown that the solutions obtained through the proposed method can outperform those obtained through linearization, without any significant increase in computational cost.

KW - uncertainty analysis

KW - univariate reduced quadrature

KW - Monte Carlo methods

KW - probabilistic aeronautical design

KW - transonic aerodynamics

U2 - 10.2514/1.J050448

DO - 10.2514/1.J050448

M3 - Journal article

VL - 49

SP - 530

EP - 543

JO - AIAA Journal

JF - AIAA Journal

SN - 0001-1452

IS - 3

ER -