Graph convolution network-based surrogate model for natural convection in annuli

Graph convolution network-based surrogate model for natural convection in annuli

This work develops a model for natural convection in annuli with internal heat sources based on Graph Convolution Network (GCN), achieving rapid prediction by directly establishing the mapping relationship between the geometric features and the temperature field. The GCN learns node features and con...

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Bibliographic Details
Main Authors: Feng Feng, Yu-Bai Li, Zhi-Hua Chen, Wei-Tao Wu, Jiang-Zhou Peng, Mei Mei
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Case Studies in Thermal Engineering
Subjects:
Natural convection
Deep learning
Graph convolutional convolution network
Surrogate model
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24003617

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http://www.sciencedirect.com/science/article/pii/S2214157X24003617

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