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A Framework for Aerodynamic Shape Optimization

2009
A framework for aerodynamic shape optimization is presented. It uses a shape parameterization method based upon the Chebyshev polynomials, an unstructured finite-volume formulation for the solution of the Euler equations and a discrete adjoint method for the computation of the sensitivity.
Giampiero Carpentieri   +1 more
openaire   +1 more source

Missile aerodynamic shape optimization design using deep neural networks

Aerospace Science and Technology, 2022
Pin Wu   +6 more
semanticscholar   +1 more source

Aerodynamic Shape Optimization of Hypersonic Vehicles

44th AIAA Aerospace Sciences Meeting and Exhibit, 2006
A software tool for the constrained shape optimization of hypersonic vehicles is presented. The surface solution is calculat ed using CBAERO, an engineering level analysis tool for predicting subsonic, supersonic, and hypersonic aerodynamics and aero thermodynamics of conceptual vehicles .
openaire   +1 more source

Aerodynamic Shape Optimization: Methods and Applications

SAE Technical Paper Series, 1999
<div class="section abstract"><div class="htmlview paragraph">The motivation is to develop automated optimization tools that would ultimately cut cycle time of a new product design. This is often needed for a fast response to the market changes.
openaire   +1 more source

Physics-Based Data-Driven Buffet-Onset Constraint for Aerodynamic Shape Optimization

AIAA Journal, 2022
Ji-chao Li   +4 more
semanticscholar   +1 more source

Aerodynamic shape optimization of an urban maglev train

Acta Mechanica Sinica, 2021
Zhenxu Sun   +4 more
semanticscholar   +1 more source

Aerodynamic shape optimization using graph variational autoencoders and genetic algorithms

Structural And Multidisciplinary Optimization
Jorge Jabón   +3 more
semanticscholar   +1 more source

Optimization of aerodynamic shapes

2016
Schramm, M.   +3 more
openaire   +1 more source

A Review of Shape Memory Polymers and Composites: Mechanisms, Materials, and Applications

Advanced Materials, 2021
Fenghua Zhang, Yanju Liu, Jin-Song Leng
exaly  

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