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Machine learning in aerodynamic shape optimization [PDF]

open access: yesProgress in Aerospace Sciences, 2022
Large volumes of experimental and simulation aerodynamic data have been rapidly advancing aerodynamic shape optimization (ASO) via machine learning (ML), whose effectiveness has been growing thanks to continued developments in deep learning.
Jichao Li   +2 more
exaly   +2 more sources

Numerical analysis perspective in structural shape optimization: A review post 2000

Advances in Engineering Software, 2021
This review presents developments in structural shape optimization post 2000 from perspective of numerical analysis techniques. Traditional shape optimization with FEM has undergone considerable transformation as developments in CAD, numerical analysis ...
S D Daxini
exaly   +2 more sources

Multi-fidelity deep neural network surrogate model for aerodynamic shape optimization

Computer Methods in Applied Mechanics and Engineering, 2021
In the present study, an effective optimization framework of aerodynamic shape design is established based on the multi-fidelity deep neural network (MFDNN) model. The objective of the current work is to construct a high-accuracy multi-fidelity surrogate
Xinshuai Zhang   +4 more
semanticscholar   +1 more source

Efficient Mesh Generation and Deformation for Aerodynamic Shape Optimization

, 2021
Mesh generation and deformation are critical elements in gradient-based aerodynamic shape optimization (ASO).
N. SĂȘcco   +4 more
semanticscholar   +1 more source

On deep-learning-based geometric filtering in aerodynamic shape optimization

, 2021
Geometric filtering based on deep-learning models has been shown to be effective to shrink the design space and improve the efficiency of aerodynamic shape optimization.
Ji-chao Li, Mengqi Zhang
semanticscholar   +1 more source

Shape optimization of underwater glider based on approximate model technology

, 2021
Hydrodynamic shape is an important factor of underwater glider (UG), which influences its gliding efficiency and energy consumption. This paper proposes a shape optimization method of Petrel-L based on the approximate model technology, the establishment ...
Ming Yang   +4 more
semanticscholar   +1 more source

Shape Registration by Optimally Coding Shapes

IEEE Transactions on Information Technology in Biomedicine, 2008
This paper formulates shape registration as an optimal coding problem. It employs a set of landmarks to establish the correspondence between shapes, and assumes that the best correspondence can be achieved when the polygons formed by the landmarks optimally code all the shape contours, i.e., obtain their minimum description length (MDL).
Yifeng Jiang 0001   +2 more
openaire   +2 more sources

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