MENG Wei, HE Chuan, CHEN Zi-quan, et al. Application of ridge regression in the inversion analysis of the initial
geo-stress field of rock masses[J]. 2021, 42(4): 1156-1169.
MENG Wei, HE Chuan, CHEN Zi-quan, et al. Application of ridge regression in the inversion analysis of the initial
geo-stress field of rock masses[J]. 2021, 42(4): 1156-1169.DOI: 10.16285/j.rsm.2020.1317.
To make the initial geo-stress field of rock masses obtained by the inversion analysis more realistic
three conditions are proposed
which are the initial geo-stress field of rock masses should be superposed by compressive stress fields
the tectonic load of boundary obtained by the inversion analysis should not be too large
and the constituent of stress fields obtained by the inversion analysis should be consistent with the constituents of the stresses field measured by the in-situ test. Based on the theory of multiple linear regression
in the inversion analysis of the initial geo-stress field of rock masses
the reason leads to negative
too large and insignificant regression coefficient is uncovered firstly. It is the multicollinearity between independent variables that may lead to negative
excessive and insignificant regression coefficient when the least square method is adopted to obtain the regression coefficients. Then
two sources of multicollinearity are given. The one is that a narrow range of measured in-situ stresses can lead to multicollinearity among independent variables. The other one is that using multiple equations to express the initial geo-stress field of rock masses which commonly leads to nearly completely multicollinearity between independent variables. Finally
some methods for detecting and avoiding multicollinearity are proposed
and applied in the inversion analysis of the initial geo-stress field of rock masses for the Banzhulin tunnel. Based on the results of this inversion analysis
it is found that ridge regression can replace the least square method to solve regression coefficients effectively if independent variables suffer from the multicollinearty.