基于分数阶算子灰色理论隧道围岩变形预测
首发时间:2018-10-29
摘要:采用新奥法开挖隧道时围岩应力产生重分布,对隧道围岩的变形进行监控量测是必不可少的内容。这些数据也影响着接下来的工况实施,需要对现场监控数据进行有效的处理才可以有效预测。为了避开一些复杂的地质因素、围岩力学效应等较难确定的因素,采用分数阶算子灰色理论进行数据处理。介绍了分数阶算子灰色理论的基本原理与操作步骤,基于传统的GM(1,1)模型,引入分数阶精确调节累加数的数量级,以此建立分数阶算子灰色预测模型。以工程实例为研究背景,对不同模型下隧道围岩位移的预测结果进行对比分析,结果表明,分数阶算子灰色预测模型优于经典GM(1,1)模型,其模拟精度有明显的提高,能满足实际工程的需求。
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Prediction of tunnel surrounding rock deformation based on fractional operator grey theory
Abstract:When the New Austrian Tunneling Method is used to excavate the tunnel, the stresses in the surrounding rock are redistributed. It is necessary to monitor and measure the deformation of surrounding rock of the tunnel. For making an effective prediction, the data from monitoring and measuring which will affect working conditions should be analyzed effectively. In order to avoid some uncertainties such as complicated geologic factors and mechanical effects of surrounding rocks, the grey theory of fractional order operator is used to analyze the data. This paper introduces the basic principle and operation steps of the grey theory of fractional order operator. In order to establish the grey prediction model of fractional order operator, it introduces fractional order to adjust the quantity level of cumulative number accurately based on the traditional GM(1,1) model. Taking engineering example as research background, this paper compares and analyses the prediction results of the displacements of tunnel surrounding rocks under different models. The results show that the grey prediction model of fractional order operator which is superior to the classical GM(1,1) model and has obvious improvement on simulation precision can meet the requirement of practical engineering.
Keywords: rock displacement displacement forecasting fractional order operator grey model
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