基于大数据的泥水盾构排渣量测算方法优化研究

Optimization of Calculation Method of Mucking Volume for Slurry Shield Based on Big Data

为提高泥水盾构排渣量测算精度,依托深圳某超大直径盾构隧道工程,引入单环地层平均密度值,分析实测排渣量与进、排浆密度差的相关性,拟合函数变量k,提出基于开挖地层密度值的泥水盾构排渣量测算方法。研究表明:1)采用开挖地层密度值作为测算排渣量的变量之一,测算排渣量结果稳定性好,波动程度低;2)泥水盾构排渣量与进、排浆密度差呈正相关;3)采用基于开挖地层密度值的泥水盾构排渣量测算方法计算的单环排渣量,相对误差≤30%的环数占总环数的88%,大大提高了泥水盾构排渣量的测算精度与稳定性。

To improve the accuracy of measuring and calculating the mucking volume for the slurry shield,the average density of the strata in a single excavation ring is incorporated.The correlation between the measured mucking volume and the density difference of the inlet and outlet slurry is established by taking a super-large-diameter shield tunnel as an example.Moreover,the function variable k is fitted and a new calculation method for the mucking volume based on the density of excavation strata is proposed.The research results show that the calculation method is stable and has low fluctuations when using the density of excavated strata as one of the calculation variables.It is found that the mucking volume is positively correlated with the density difference of the inlet and outlet slurry.Moreover,it is observed that the ring number with a relative error of mucking volume of a single ring less than 30%accounts for 88%of the total rings.This indicates a significant improvement in the calculation accuracy and stability of the recommended calculation method.