Geometric Filtration Using Proper Orthogonal Decomposition for Aerodynamic Design Optimization

By David J. J. Toal, Neil W. Bressloff, Andy J. Keane, Carren M. E. Holden. 2010

112 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/eba514702a2af9c33e71f914280824f5b3103f3c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Alexander I. J. Forrester
2. Andy J. Keane
3. Christian B. Allen
4. Daniel J. Poole
5. Thomas C. S. Rendall
6. Yaochu Jin
7. Peter I. Frazier
8. Benjamin Peherstorfer

In Statistical and Nonlinear Physics

1. Daniel J. Poole
2. Christian B. Allen
3. Thomas C. S. Rendall
4. Andy J. Keane
5. George Stefanou

In Statistics and Probability

1. Alexander I. J. Forrester
2. Andy J. Keane
3. Christian B. Allen
4. Daniel J. Poole
5. Thomas C. S. Rendall
6. George Stefanou

Citations in the corpus

• Dimension Reduction for Aerodynamic Design Optimization (2011, methodology): “The RAE-2822 airfoil is parameterized using nonuniform rational B-splines (NURBS) for the upper and lower surfaces [49].”
• A Geometric Comparison of Aerofoil Shape Parameterisation Methods (2016, unknown): “[26], Ghoman et al.”
• Metric-Based Mathematical Derivation of Efficient Airfoil Design Variables (2015, background): “[41],who showed that the design space of the two-dimensional airfoil shape could be reduced to a few principal modes.”