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Resilience assessment and prediction of metro shield tunnels under explosive conditions
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Rui Wang1, Xun Zhang1, Xianghui Deng**, 1, Ping'an Wang2, Xu Wang1, Wei Zhang3
China Safety Science Journal | 2026, 36(4) : 123 - 131
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China Safety Science Journal | 2026, 36(4): 123-131
Safety Technology and Engineering
Resilience assessment and prediction of metro shield tunnels under explosive conditions
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Rui Wang1, Xun Zhang1, Xianghui Deng**, 1, Ping'an Wang2, Xu Wang1, Wei Zhang3
Affiliations
  • 1Civil and Architecture Engineering, Xi'an Technology University, Xi'an Shaanxi 710021, China
  • 2China Railway 20th Bureau Group Corporation Limited, Xi'an Shaanxi 710016, China
  • 3China Railway Construction Urban Construction Transportation Development Corporation Limited, Suzhou Jiangsu 215000, China
Published: 2026-04-28 doi: 10.16265/j.cnki.issn1003-3033.2026.04.0085
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To ensure the operational and structural safety of the subway system, an assessment of the resilience of metro shield tunnels under explosive loading was conducted. A resilience assessment framework and grading criteria for shield tunnels under blast loading were established, and a resilience prediction model was developed based on a backpropagation (BP) neural network with a three-input, five-hidden-layer, single-output architecture. This model and evaluation approach were applied in a case study on the Xi'an Metro Line 1 to assess and predict the tunnel's resilience. The results indicate that a shorter standoff distance, a higher explosive yield, and a higher number of explosions each accelerate the decline in the tunnel's resilience. The resilience exhibited the most pronounced drop after the first explosion; the subsequent rate of decline was relatively gradual until the fifth explosion, after which it increased significantly. After the fifth explosion, the tunnel entered a low-resilience state requiring prompt repairs to meet operational requirements, and by the seventh explosion, the resilience had fallen to an extremely low level that could no longer ensure operational safety. The resilience assessment framework and prediction model developed in this study can be used to assess the safety status of metro shield tunnels under repeated external explosions.

explosions effect  /  metro shield tunnels  /  resilience assessment  /  back propagation(BP) neural network  /  resilience prediction
Rui Wang, Xun Zhang, Xianghui Deng, Ping'an Wang, Xu Wang, Wei Zhang. Resilience assessment and prediction of metro shield tunnels under explosive conditions[J]. China Safety Science Journal, 2026 , 36 (4) : 123 -131 . DOI: 10.16265/j.cnki.issn1003-3033.2026.04.0085
Year 2026 volume 36 Issue 4
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2026.04.0085
  • Receive Date:2025-11-14
  • Online Date:2026-07-08
  • Published:2026-04-28
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  • Received:2025-11-14
  • Revised:2026-02-05
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Affiliations
    1Civil and Architecture Engineering, Xi'an Technology University, Xi'an Shaanxi 710021, China
    2China Railway 20th Bureau Group Corporation Limited, Xi'an Shaanxi 710016, China
    3China Railway Construction Urban Construction Transportation Development Corporation Limited, Suzhou Jiangsu 215000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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