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Physical model-guided deep learning approach for explosion load prediction in three-dimensional typical street configurations

Dingkun Luo Yang Huang Suwen Chen

防务技术2026，Vol.60Issue(6)：120-137,18.

防务技术2026，Vol.60Issue(6)：120-137,18.DOI:10.1016/j.dt.2025.12.012

Physical model-guided deep learning approach for explosion load prediction in three-dimensional typical street configurations

Dingkun Luo ¹Yang Huang ¹Suwen Chen²

作者信息

1. College of Civil Engineering,Tongji University,Shanghai,200092,China
2. College of Civil Engineering,Tongji University,Shanghai,200092,China||State Key Laboratory of Disaster Reduction in Civil Engineering,Shanghai,200092,China
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摘要

关键词

Street configurations/Method of images/Deep learning/Blast load

Key words

Street configurations/Method of images/Deep learning/Blast load

引用本文复制引用

Dingkun Luo,Yang Huang,Suwen Chen..Physical model-guided deep learning approach for explosion load prediction in three-dimensional typical street configurations[J].防务技术,2026,60(6):120-137,18.

基金项目

This work was supported by the National Natural Science Foundation of China(Grant No.52578603)and the Fundamental Research Funds for the Central Universities through Tongji Uni-versity(Grant No.2023-2-ZD-05). （Grant No.52578603）

防务技术

ISSN：2214-9147

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