Journal of
Geology and Mining Research

  • Abbreviation: J. Geol. Min. Res.
  • Language: English
  • ISSN: 2006-9766
  • DOI: 10.5897/JGMR
  • Start Year: 2009
  • Published Articles: 172

Full Length Research Paper

3D Geometrical-Stochastical Modeling of Rock mass joint networks: Case study of the Right Bank of Rudbar Lorestan Dam plant

M. Noroozi
  • M. Noroozi
  • Faculty of Mining Engineering, Petroleum and Geophysics, University of Shahrood, 7-tir sq., Shahrood 3619995161, Iran.
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R. Kakaie
  • R. Kakaie
  • Faculty of Mining Engineering, Petroleum and Geophysics, University of Shahrood, 7-tir sq., Shahrood 3619995161, Iran.
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S. E. Jalali
  • S. E. Jalali
  • Faculty of Mining Engineering, Petroleum and Geophysics, University of Shahrood, 7-tir sq., Shahrood 3619995161, Iran.
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  •  Received: 10 December 2014
  •  Accepted: 12 January 2015
  •  Published: 29 January 2015

Abstract

Nowadays, modeling is increasingly used as a method for determination of the mechanical and hydraulic behavior of the rock mass. In this paper, with regard to the high importance of joint persistence characteristic on the mechanical and hydraulic behavior of the rock mass, geometric-stochastic joint network model has been developed by considering the statistical characteristics of joint size based on Veneziano model. With the use of surveyed data in the right bank of Rudbar Lorestan dam plant and estimation of the best probability distribution function on geometric characteristics of existing joint sets in this region, the three-dimensional geometric model of joint network has been developed. In order to model implementation, a computer code written in C++, called FRAC3D, has been developed that is able to represent the joint network in different directions and to generate text outputs. The results of this model can be a useful input for numerical stability analysis and hydraulic behavior studies of rock mass.

 

Key words: Geometrical-Stochastic modeling, joint network, joint surveying, statistical studies.