Modern Mining ›› 2024, Vol. 40 ›› Issue (02): 6-9.
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In order to study the influence of joint structural plane strength and joint distribution char⁃
acteristics on the mechanical properties of rock mass，a numerical model of jointed rock mass based on
block semantic segmentation method is constructed in PFC. Based on the combination of joint parameters
with different joint bond strength scaling coefficient f and segmentation iteration number n，the uniaxial com⁃
pressive strength of jointed rock mass is simulated as the analysis index. The results show that when the num⁃
ber of nodal splitting iterations n is small，the nodal strength scaling factor f has little effect on the uniaxial
compressive strength σu of the rock body. when n=4 and 6，the uniaxial compressive strength σu of the rock
body firstly shows an obvious increasing trend with the increase of the nodal strength scaling factor f，and
then stabilizes gradually，but there is still a certain gap in comparison with the uniaxial strength of no-nod⁃
al. When n=8，the number of joints increases gradually，and the uniaxial compressive strength of rock mass
changes the most with n，but it eventually stabilizes to the uniaxial strength of jointless rock mass. With the
increase of the joint strength scaling factor f，the joint bond strength increases，and the uniaxial compressive
strength σu of the rock mass gradually increases with the increase of the number of joint segmentation itera⁃
tions n，and finally approaches the mechanical strength of the jointless rock. Based on the combination of dif⁃
ferent f and n，the uniaxial compressive strength of rock mass under different joint parameters is explored，
which provides an accurate and effective simulation prediction method for the rapid determination of me⁃
chanical properties of jointed rock mass.
