Geomechanics and Engineering A

Volume 16, Number 1, 2018, pages 21-34

DOI: 10.12989/gae.2018.16.1.021

Validation of 3D discrete fracture network model focusing on areal sampling methods-a case study on the powerhouse cavern of Rudbar Lorestan pumped storage power plant, Iran

Abbas Kamali Bandpey, Kourush Shahriar, Mostafa Sharifzadeh and Parviz Marefvand

Abstract

. Discontinuities considerably affect the mechanical and hydraulic properties of rock mass. These properties of the rock mass are influenced by the geometry of the discontinuities to a great extent. This paper aims to render an account of the geometrical parameters of several discontinuity sets related to the surrounding rock mass of Rudbar Lorestan Pumped Storage Power Plant powerhouse cavern making use of the linear and areal (circular and rectangular) sampling methods. Taking into consideration quite a large quantity of scanline and the window samplings used in this research, it was realized that the areal sampling methods are more time consuming and cost-effective than the linear methods. Having corrected the biases of the geometrical properties of the discontinuities, density (areal and volumetric) as well as the linear, areal and volumetric intensity accompanied by the other properties related to four sets of discontinuities were computed. There is an acceptable difference among the mean trace lengths measured using two linear and areal methods for the two joint sets. A 3D discrete fracture network generation code (3DFAM) has been developed to model the fracture network based on the mapped data. The code has been validated on the basis of numerous geometrical characteristics computed by use of the linear, areal sampling methods and volumetric method. Results of the linear sampling method have significant variations. So, the areal and volumetric methods are more efficient than the linear method and they are more appropriate for validation of 3D DFN (Discrete Fracture Network) codes.

Key Words

discontinuity; geometrical characteristics; areal sampling; 3DDFN code; validation

Address

Abbas Kamali Bandpey, Kourush Shahriar and Parviz Marefvand: Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran Mostafa Sharifzadeh: Department of Mining Engineering and Metallurgy Engineering, Western Australian School of Mines (WASM), Curtin University, Australia