Multipoint Aerodynamic Shape Optimization Investigations of the Common Research Model Wing

By Gaetan K. W. Kenway, Joaquim R. Martins. 2015

135 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/62ebd73822df38394cf4fffd5945b9965b6b1ecb

How researchers see this paper

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

In Aerospace Engineering

1. Joaquim R. Martins
2. Gaetan K. W. Kenway
3. Rhea Patricia Liem
4. John T. Hwang

In Computational Mechanics

1. Joaquim R. Martins
2. Gaetan K. W. Kenway
3. John T. Hwang
4. Charles A. Mader
5. Ping He
6. Rhea Patricia Liem
7. Mohamed Amine Bouhlel
8. Joseph Morlier

Citations in the corpus

• Expected drag minimization for aerodynamic design optimization based on aircraft operational data (2017, methodology): “Kenway and Martins [22] presented a convergence study for these meshes as well as a finer mesh with over 28 M grid cells (L0) and an extrapolated zero-mesh spacing.”
• Effective adjoint approaches for computational fluid dynamics (2019, background): “the subject of single- and multi-point aerodynamic shape optimization [3, 74].”
• A Python surrogate modeling framework with derivatives (2019, methodology): “The design optimization of commercial aircraft using CFD is typically done by modeling the aircraft performance at a small number of representative flight conditions [26,27].”
• Buffet-Onset Constraint Formulation for Aerodynamic Shape Optimization (2017, methodology): “2 Geometric Parametrization In this work, we use a free-form deformation (FFD) volume approach [52] that we implemented [53] and have used extensively in the past for aerodynamic [10, 54, 11, 12, 17, 55] and aerostructural optimization studies [2, 43, 1, 23].”