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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Bibliografiska uppgifter

Huvudupphov:	Banruo LI, Pu HUO, Jun YU
Materialtyp:	Artigo
Språk:	Chinês
Utgiven:	Editorial Department of Explosion and Shock Waves 2026-04-01
Serie:	Baozha yu Chongji
Ämnen:	free-field explosion internal explosion blast overpressure spatial and temporal distribution machine learning graph neural network
Länkar:	https://www.bzycj.cn/article/doi/10.11883/bzycj-2024-0503?pageType=en
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