Parametric model embedding

DOI10.1016/j.cma.2022.115776OpenAlexW4310737759MaRDI QIDQ2678504

Andrea Serani, Matteo Diez

Publication date: 23 January 2023

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2204.05371

zbMATH Keywords

shape optimizationdimensionality reductionKarhunen-Loève expansionrepresentation learningparametric model embeddingsimulation-driven optimization

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX) Computer science (68-XX)

Uses Software

• XFOIL

Cites Work

• Unnamed Item
• The wave resistance problem in a boundary integral formulation
• Investigation of adaptive design variables bounds in dimensionality reduction for aerodynamic shape optimization
• High-fidelity aerodynamic shape optimization using efficient orthogonal modal design variables with a constrained global optimizer
• Design-space dimensionality reduction in shape optimization by Karhunen-Loève expansion
• Aerodynamic optimal shape design based on body-fitted grid generation
• Wing aerodynamic optimization using efficient mathematically-extracted modal design variables
• Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

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