Performance of double-arch tunnels under internal BLEVE

被引:0
作者
Cheng, Ruishan [1 ]
Chen, Wensu [1 ]
Hao, Hong [1 ,2 ]
机构
[1] Curtin Univ, Ctr Infrastruct Monitoring & Protect, Sch Civil & Mech Engn, Perth 6000, Australia
[2] Guangzhou Univ, Earthquake Engn Res & Test Ctr, Guangzhou 510000, Peoples R China
基金
澳大利亚研究理事会;
关键词
Double-arch tunnel; BLEVE; Lining configuration; Section-steel arch; Damage prediction; NUMERICAL-SIMULATION; BLAST; DAMAGE; EXPLOSION; BEHAVIOR; MASS;
D O I
10.1016/j.undsp.2024.01.006
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Double-arch tunnels, as one of the popular forms of tunnels, might be exposed to boiling liquid expanding vapour explosions (BLEVEs) associated with transported liquified petroleum gas (LPG), which could cause damage to the tunnel and even catastrophic collapse of the tunnel in extreme cases. However, very limited study has investigated the performance of double-arch tunnels when exposed to internal BLEVEs and in most analyses of tunnel responses to accidental explosions. The TNT-equivalence method was used to approximate the explosion load, which may lead to inaccurate tunnel response predictions. This study numerically investigates the response of typical double-arch tunnels to an internal BLEVE resulting from the instantaneous rupture of a 20 m3 LPG tank. Effects of various factors, including in-situ stresses, BLEVE locations, and lining configurations on tunnel responses are examined. The results show that the double-arch tunnels at their early-operation ages are more vulnerable to severe damage when exposed to the BLEVE due to the low action of in-situ stress of rock mass on the response of early-age tunnels. It is also found that directing the LPG tank to different driving lanes inside tunnels can affect the BLEVE-induced tunnel response more significantly than varying the configurations of tunnel lining. Moreover, installing section-steel arches in the mid-wall can effectively improve the blast resistance of the double-arch tunnels against the internal BLEVE. In addition, the prediction models based on multi-variate nonlinear regressions and machine learning methods are developed to predict the BLEVE-induced damage levels of the double-arch tunnels without and with section-steel arches.
引用
收藏
页码:6 / 25
页数:20
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