GNN-based predictive model for spatial and temporal distribution of blast overpressure
To meet the need for accurate and rapid prediction of overpressure generated by an explosion, a graph neural network (GNN)-based artificial intelligence model was proposed in this paper for predicting the spatial and temporal distribution of the blast overpressure. The model relies on high-fidelity...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Chinês |
| Veröffentlicht: |
Editorial Department of Explosion and Shock Waves
2026-04-01
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| Schriftenreihe: | Baozha yu Chongji |
| Schlagworte: | |
| Online-Zugang: | https://www.bzycj.cn/article/doi/10.11883/bzycj-2024-0503?pageType=en |
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