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Davood Bahrami

Picture:

Resume:

Experience	1997-present Mining Engineering Dept. UNR, NV Teaching Assistantship, Mine Design computer lab assistant. Research Assistantship 1993-1996 NSA Engineering Golden, CO Mining Engineer Coal mine design for rib pillar Extraction panels for Cyprus Coal, Sidney Coal, Arch of W. Virginia, Shell mining, Ziegler Coal, A.T. Massey, and others. Rib pillar design for Marrowbone, Stability analysis and design of a new clean stope leaching concept for Vandyke mine. Subsidence and mine pillar design for a number of projects. Development of design tools in order to increase design efficiency in coal mine projects.
	System Administrator Design and install a PC network of 20 computers with Windows NT server. Setting up and maintaining mail server and internet connection Regular network administration duties, including regular back ups, user account setup Design and maintain NSA’ web site. Working with a variety of web page editors including Microsoft FrontPage Programming in C, and C++.
	1988-1989 On site inspection in an underground construction project, IRAN,
	Practical Training, summer 1985 and 1987 Practical training in underground and surface metal and non metal mines.
Education	1983-1987 The University of Tehran Tehran, Iran Degree: B.Sc. in Mining Engineering 1997-peresent University of Nevada, Reno Reno, Nevada Program: M.Sc. in Mining Engineering
Computer Ability	Programming skills, FORTRAN, BASIC, C, C++, Visual Basic. Working with MS applications such as Word, Excel, MS Access, and more, AutoCAD. Experienced in numerical modeling and 2-D and 3-D Rock Engineering software for underground excavations. Working in UNIX, DOS, and Windows95 operating systems. Using SURPAC2000 mine design software. Working knowledge of Mathematica, Mathcad, Mupad, and MATLAB

Research:

Integrated Numerical modeling and Seismic Tomography

Seismic tomographic imaging has become a cost-effective tool for mine-wide monitoring systems. This research concentrates on the integration of rock mechanics numerical modeling and seismic tomographic imaging in order to provide a way of better understanding rock mass behavior and its characteristics. In this study, seismic data is provided in terms of a coefficient of attenuation that is proportional to seismic P-wave velocity. I use a seismic velocity function of vertical stress and axial compressive strength of a coal seam. Stress and strength values come from the numerical modeling (MULSIM/NL). I use an iterative approach to achieve final approximate solution.

The process is quick and in close agreement with measured seismic data. The proposed approach proves to be potentially a powerful tool in mine-wide monitoring and data interpretation, providing a better understanding of rock mass behavior. Further research would enable us to incorporate other properties in order to provide robust technique.

An example of of the results of this study is as follows:

Figure 1: Surveyed tomographic image of longwall panel, small values represent low sesmic velocity associated with broken ground and consequently with low stress concenteration.

Figure 2: Failure distribution, values are reciprocal of safety factor, areas with values larger than 1 indicate yielded zones.