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Global sensitivity analysis of influential parameters for excavation stability of metro tunnel

机译:地铁隧道开挖稳定性影响参数的整体敏感性分析

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The application of a large-scale slurry-balance shield machine in super-large tunnel excavation (diameter > 14 m) is much more difficult and risky than the common shield tunneling. The control of shield machine becomes a complex and difficult problem under frequently encountered unforeseen geological conditions. The operators of shield machine need to recognize the influential parameters for excavation stability, and then primarily adjust these influential parameters which can be controlled in shield machine tunneling. Aiming to find out the influential parameters for excavation stability, this study proposes a framework of global sensitivity analysis (GSA) by (i) employing three different meta-models namely polynomial chaos expansion (PCE), radial basis function (RBF), and support vector machine (SVM) methods to mimic the mapping relation between input and output parameters, and (ii) adopting three kinds of GSA methods namely Morris elementary effects, Sobol method, Expand Fourier amplitude sensitivity test (EFAST) algorithm to classify the parameters as important or unimportant (insensitive). The results show that the synchronous grouting pressure, advancing speed, and penetration are influential parameters to bubble chamber pressure, whereas the cutter rotation speed, cutter torque, penetration, and actual volume excavation are influential parameters to deviation angle. Here, we pay close attention to the most influential parameters that must be prioritized for parameter control, which can help the administrators optimize their management scheme of influential parameters during tunnel excavation. The follow-up research can focus on how to develop and explore additional particular details about the GSA method or some other data mining technologies for optimizing the management scheme of shield tunneling.
机译:大型泥水平衡盾构机在超大型隧道开挖(直径> 14 m)中的应用比普通盾构隧道施工更加困难和危险。在经常遇到的不可预见的地质条件下,盾构机的控制成为一个复杂而困难的问题。盾构机的操作人员需要识别影响挖掘稳定性的参数,然后首先调整这些可以在盾构机隧道中控制的参数。为了找出影响挖掘稳定性的参数,本研究提出了一种全球敏感性分析(GSA)的框架,方法是:(i)采用三种不同的元模型,即多项式混沌扩展(PCE),径向基函数(RBF)和支撑向量机(SVM)方法来模拟输入和输出参数之间的映射关系,以及(ii)采用三种GSA方法(即莫里斯基本效应,Sobol方法,扩展傅立叶振幅敏感度测试(EFAST)算法)将参数分类为重要或无关紧要(不敏感)。结果表明,同步灌浆压力,行进速度和穿透力是影响气泡室压力的参数,而切刀转速,切刀扭矩,穿透力和实际开挖量是影响偏角的参数。在这里,我们密切关注必须优先考虑的最有影响力的参数,以控制参数,这可以帮助管理员优化隧道开挖过程中有影响力参数的管理方案。后续研究可以集中于如何开发和探索有关GSA方法或其他一些数据挖掘技术的其他特定细节,以优化盾构隧道管理方案。

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