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An investigation of the relationship between muck geometry, TBM performance, and operational parameters: A case study in Golab Ⅱ water transfer tunnel

机译:渣土几何形状,TBM性能与运行参数之间关系的研究:以GolabⅡ输水隧洞为例

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An attempt was made to examine the relationship between various TBM operational factors, its performance, and muck geometry during the excavation of a short geologically uniform section of Golab II water transfer tunnel. A database based on nine field testing data derived from machine operating and performance parameters along with muck shape and size was formed. Subsequently, it was used for analyzing the correlation among variables. The analysis results point out that there is a strong inverse correlation between specific energy (SE), an indicator parameter of rock cutting efficiency, and three muck size indicators including: coarseness index (CI), mean particle size, and absolute grain size (last one is the correlation with R-2 = 0.93). Typically, for the small sized muck with the mean grain size ranging from 3 to 9 mm examined in shale formation in this study, the in situ SE varies between 3.4 and 8.1 kWh/m(3). Also, the TBM penetration rate (PRev) follows reasonable trends with respect to other field performance parameters such as boreability index (BI), instantaneous cutting rate (ICR), and machine operational factors including the cutterhead thrust force and torque, in agreement with findings of several similar both laboratory and field scale studies. For example, for the PRev ranging from 5.5 to 10 mm/rev, the BI decreases in power function from 34.8 to 16.8 kN/cutter/mm/rev, and the ICR increases logarithmic from 50 to 85 m(3)/h. These results highlight the potential development of a real-time monitoring based system can be come on the scene for controlling TBM operation. However, the range of the input data available is very limited, therefore a deep analysis along with an extended database is required for enhancing outcomes of this study.
机译:试图检查Golab II输水隧道短地质统一段开挖过程中各种TBM操作因素,其性能和渣土几何形状之间的关系。建立了一个基于九个现场测试数据的数据库,该数据来自机器的运行和性能参数以及渣土的形状和尺寸。随后,将其用于分析变量之间的相关性。分析结果指出,比能(SE),岩石切割效率的指标参数与三个渣粒大小指标之间存在很强的反相关性,这三个指标包括:粗度指数(CI),平均粒度和绝对粒度(最后一种是与R-2 = 0.93的相关性。通常,对于本研究中在页岩形成中检测到的平均粒度为3至9 mm的小尺寸渣土,原位SE在3.4至8.1 kWh / m之间变化(3)。此外,TBM穿透率(PRev)遵循其他领域性能参数的合理趋势,例如镗孔指数(BI),瞬时切削率(ICR)以及包括切削刀头推力和扭矩在内的机器运行因素,与调查结果一致一些类似的实验室和实地规模研究。例如,对于PRev从5.5到10 mm / rev的范围,BI的功率函数从34.8减少到16.8 kN / cutter / mm / rev,ICR的对数从50增加到85 m(3)/ h。这些结果突显了基于实时监控的系统的潜在发展,可以用于控制TBM操作。但是,可用输入数据的范围非常有限,因此需要进行深入分析以及扩展的数据库才能增强本研究的结果。

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