工程爆破

2023, v.29;No.131(01) 78-85+121

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岩爆倾向性估计的能量密度准则
The criterion of energy density for estimating rock burst tendency

王树成
WANG Shu-cheng

摘要(Abstract):

为了估计高应力地区隧道工程施工的岩爆倾向性,根据高应力地区深埋隧道施工时发生岩爆的实际情况、地应力和岩石力学参数的测试结果,在采用有限差分软件FLAC3D建立隧道开挖模型基础上,进行了隧道开挖过程的数值模拟,比较了实际岩爆发生情况、不同断面位置(拱顶、拱腰、拱脚、墙腰、墙脚、拱底)最大弹性应变能密度α、储存-极限弹性应变能密度比值β的模拟结果,提出了基于最大弹性应变能密度α、储存-极限弹性应变能密度比值β的岩爆倾向性估计方法。结果表明,当最大弹性应变能密度分别为α<34.08 kJ/m~3、[34.08 kJ/m~3,78.50 kJ/m~3)、[78.50 kJ/m~3,114.27 kJ/m~3]、α>114.27 kJ/m~3时,或者储存-极限弹性应变能密度比值分别为β<1.0、[1.0, 2.5)、[2.5, 5.0]、β>5.0时,可能发生的岩爆等级分别为轻微、中等、强烈、剧烈;使用这2个能量密度判据,岩爆预估结果与实际情况基本一致。
In order to estimate the rock burst tendency during the constructions of the tunnel engineering in the high geo-stress surroundings, the practical rock bursts occurred during the tunnel constructions and the test results of the geo-stresses and rock mechanical parameters were used to establish the tunnel excavation model by using the finite differential software FLAC3D, and the numerical simulations of the tunnel excavation were then performed. The comparison was furthermore conducted among the practical rock bursts, the maximum strain energy density α, and the ratio β of the stored to ultimate elastic strain energy density from the numerical simulation results in various locations, concluding the vault, arch waist, arch foot, wall waist, wall foot, and arch bottom. The criteria for the estimation of the rock burst tendency were thereafter proposed. It shows that the slight, medium, strong, and violent rock bursts may happen if the maximum elastic strain energy density is α<34.08 kJ/m~3, belongs to [34.08 kJ/m~3, 78.50 kJ/m~3), [78.50 kJ/m~3, 114.27 kJ/m~3], and α>114.27 kJ/m~3, respectively, or if the ratios of the stored to ultimate elastic strain energy density is β>1.0, belongs to [1.0, 2.5), [2.5, 5.0], and β>5.0, respectively. The estimated rock bursts are consistent with actual ones as these two criteria in energy densities are used.

关键词(KeyWords): 隧道工程;能量密度;岩爆倾向性;准则
tunnel engineering;energy density;rock burst tendency;criterion

Abstract:

Keywords:

基金项目(Foundation): 中国铁建股份有限公司科技研究开发计划基金资助项目(17-C13)

作者(Author): 王树成
WANG Shu-cheng

DOI: 10.19931/j.EB.20210114

参考文献(References):

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