A New Perspective on Predicting Roughness of Discontinuity from Fractal Dimension D of Outcrops

In tunnel construction, predicting the roughness of discontinuity is significant for preventing collapse excavation face. However, currently, we are unable to use a parameter with invariant properties quantify and predict discontinuity. Fractal dimension D one such that be used characterize The study proposes new method from fractal outcrops. measurement coordinates outcrops firstly summarized, most suitable calculating then provided. For characterizing spatial variability D, random field discretized, prediction model established based on Bayesian theory. proposed applied discontinuity, results indicate relative errors less than 1.5%. sensitivities correlation function size analyzed. It found different functions have no obvious effect results, well relatively large sizes