大断面软弱地层隧道施工围岩变形试验及预测

doi:10.13722/j.cnki.jrme.2015.1600

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Abstract Considering landslides，distortion of steel arch and frequent arch changing occur easily for large cross section tunnels of carbide argillite in the course of construction，Selected multiple monitor sections near the entrances and exits of Xiaopanling tunnels for the field test. Conducted the convergence deformation test，vault subsidence test，bolt axle force test，sprayed concrete strain test，steel camber bearing stress test，secondary lining concrete strain test，secondary lining back surrounding rocks stress test respectively. The results show that the tunnel deformation stabilizes at 48 d and the deformation accumulation is large，the vault subsidence reached 334 mm，convergence value reached 318 mm. The study also shows that taking the excavation step of 0.5 m，adopting I20 steel bracing，and taking the radial grouting behind the tunnel lining，can effectively reduce the stress of surrounding rock deformation and lining structure. This study points out the effects of the network on veracity and advantages of deformation prediction of surrounding rock. This method has great guidance for the excavation of tunnel construction site.

Key words： tunnelling engineering soft ground large section tunnel arch settlement convergence BP artificial neural network

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	Articles by authors
	SU Daozhen
	LUO Jianjun

Cite this article:

SU Daozhen,LUO Jianjun. Experimental study and prediction on large section tunnel construction deformation of surrounding rock in soft ground[J]. , 2016, 35(S2): 4029-4039.

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2015.1600 OR https://rockmech.whrsm.ac.cn/EN/Y2016/V35/IS2/4029

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