Regression Analysis for Soft Rock Tunnel Monitoring Data Based on Data-Mining by SPSS

摘要

Using SPSS software for pretreated soft rock tunnel, a regression analysis of the monitoring data reflected the internal relationship and change rule between tunnel vault sink and the surrounding convergence and distance from tunnel face to monitoring section and measuring time. The results show that: the regression model of soft rock tunnel fitted well to monitoring data, under different adjacent rock condition the corresponding tunnel deformation model has big difference, according to the fitting regression equation of tunnel monitoring data, we can preliminary calculate the limit value of tunnel excavation after excavating and the time needed until stable state to provide strong basis for adjusting performed deformation and later arrangement.