Multi-Fidelity Robust Aerodynamic Design Optimization under Mixed Uncertainty

Harsheel R. Shah; Serhat Hosder; Slawomir Koziel; Yonatan A. Tesfahunegn; Leifur Leifsson

doi:10.2514/6.2015-0917

Multi-Fidelity Robust Aerodynamic Design Optimization under Mixed Uncertainty

Harsheel R. Shah
, Serhat Hosder
, Slawomir Koziel
, Yonatan A. Tesfahunegn
, Leifur Leifsson

Missouri University of Science and Technology

Research output: Contribution to journal › Article › peer-review

Abstract

The objective of this paper is to present a robust optimization algorithm for computationally efficient airfoil design under mixed (inherent and epistemic) uncertainty using a multi-fidelity approach.

Original language	American English
Journal	Aerospace Science and Technology
Volume	45
DOIs	https://doi.org/10.2514/6.2015-0917 https://doi.org/10.1016/j.ast.2015.04.011
State	Published - Jan 1 2015

Keywords

Aerodynamics
Airfoils
Algorithms
Angle of Attack
Computational Fluid Dynamics
Cost Reduction
Costs
Design
Fluid Dynamics
Fuel Additives
Mapping
Optimization
Stochastic Models
Stochastic Systems
Uncertainty Analysis
Aerodynamic Shape Optimization
Multi-Fidelity Modeling
Polynomial Chaos
Robust Designs
Space Mappings
Shape Optimization

Disciplines

Aerospace Engineering
Mechanical Engineering
Numerical Analysis and Scientific Computing

Access to Document

10.2514/6.2015-0917License: CC BY
10.1016/j.ast.2015.04.011License: CC BY

Cite this

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title = "Multi-Fidelity Robust Aerodynamic Design Optimization under Mixed Uncertainty",

abstract = " The objective of this paper is to present a robust optimization algorithm for computationally efficient airfoil design under mixed (inherent and epistemic) uncertainty using a multi-fidelity approach.",

keywords = "Aerodynamics, Airfoils, Algorithms, Angle of Attack, Computational Fluid Dynamics, Cost Reduction, Costs, Design, Fluid Dynamics, Fuel Additives, Mapping, Optimization, Stochastic Models, Stochastic Systems, Uncertainty Analysis, Aerodynamic Shape Optimization, Multi-Fidelity Modeling, Polynomial Chaos, Robust Designs, Space Mappings, Shape Optimization",

author = "Shah, \{Harsheel R.\} and Serhat Hosder and Slawomir Koziel and Tesfahunegn, \{Yonatan A.\} and Leifur Leifsson",

year = "2015",

month = jan,

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doi = "10.2514/6.2015-0917",

language = "American English",

volume = "45",

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AU - Shah, Harsheel R.

AU - Hosder, Serhat

AU - Koziel, Slawomir

AU - Tesfahunegn, Yonatan A.

AU - Leifsson, Leifur

PY - 2015/1/1

Y1 - 2015/1/1

N2 - The objective of this paper is to present a robust optimization algorithm for computationally efficient airfoil design under mixed (inherent and epistemic) uncertainty using a multi-fidelity approach.

AB - The objective of this paper is to present a robust optimization algorithm for computationally efficient airfoil design under mixed (inherent and epistemic) uncertainty using a multi-fidelity approach.

KW - Aerodynamics

KW - Airfoils

KW - Algorithms

KW - Angle of Attack

KW - Computational Fluid Dynamics

KW - Cost Reduction

KW - Costs

KW - Design

KW - Fluid Dynamics

KW - Fuel Additives

KW - Mapping

KW - Optimization

KW - Stochastic Models

KW - Stochastic Systems

KW - Uncertainty Analysis

KW - Aerodynamic Shape Optimization

KW - Multi-Fidelity Modeling

KW - Polynomial Chaos

KW - Robust Designs

KW - Space Mappings

KW - Shape Optimization

UR - https://scholarsmine.mst.edu/mec_aereng_facwork/3528

UR - https://doi.org/10.1016/j.ast.2015.04.011

U2 - 10.2514/6.2015-0917

DO - 10.2514/6.2015-0917

M3 - Article

VL - 45

JO - Aerospace Science and Technology

JF - Aerospace Science and Technology

ER -

Multi-Fidelity Robust Aerodynamic Design Optimization under Mixed Uncertainty

Abstract

Keywords

Disciplines

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