ABSTRACT
This chapter discusses the development of 3D joint geometry models which investigates statistical homogeneity, includes corrections for sampling biases and applications of stereological principles and also checks validity of such built-up models to an area in Stripa mine, Sweden. Along each direction, several parallel scanlines were drawn either on the walls or on the floor of the drift, having joint traces coming from all four joint sets, to estimate spacing distribution as well as observed mean spacing. Using this expression, Karzulovic and Goodman suggested a procedure based on least square method to estimate the mean linear intensities along the mean vector directions of joint sets using the mean linear intensities estimated along several scanline directions. The verification reported in the paper shows that the modeling scheme used for the verification has very good capability in producing 2D predictions which provide very good agreement with 2D field data for the cluster studied.
