Airfoil Optimization Using Practical Aerodynamic Design Requirements

By H. Buckley, Beckett Y. Zhou, David W. Zingg. 2010

104 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/8a5bf44ce5a28756a406af2bd081511e213dee08

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In Aerospace Engineering

In Computational Mechanics

In Global and Planetary Change

Citations in the corpus

Machine Learning in Aerodynamic Shape Optimization (2022, methodology): “Existing Challenges Enhanced by the efficient adjoint method, high-fidelity CFD-based ASO has been applied in a wide range of ASO problems, such as airfoil design [66, 82, 83], wing design [1, 84–88], and wing-bodytail configuration design [5, 89, 90].”
Improved constraint-aggregation methods (2015, background): “many problems of practical interest including stress- or displacement-constrained structural optimization [1, 23, 24, 29, 18, 11, 24], multidisciplinary aircraft design problems [19, 20], and some types of airfoil design problems [6].”
High-fidelity aerodynamic shape optimization using efficient orthogonal modal design variables with a constrained global optimizer (2017, background): “The issue of degree of multimodality in aerodynamic optimization problems is an unanswered question, with work presented showing that multimodality exists in a number of cases, but unimodal cases also exist [48, 49, 50, 15].”
Multimodality and Global Optimization in Aerodynamic Design (2013, background): “The choice of the appropriate penalty parameter ρ is not a trivial task especially for practical design problems [14].”
Buffet-Onset Constraint Formulation for Aerodynamic Shape Optimization (2017, methodology): “Buffet has been mentioned in the context of CFD-based aerodynamic shape optimization as a requirement to verify after optimization [29, 30], and it has also been implicitly considered in airfoil optimization by the addition of the drag at off-design conditions to the objective function [31].”