Felipe Calizaya, Ph.D.

Associate Professor, Mining Engineering

Mining Engineering
William Browning
135 S 1460 East Rm 00313
Salt Lake City, Ut 84112

Office: 318 WBB
Office Phone: (801) 581-5422
Email:


Degrees:
1985 Ph. D. Mining Department

Education
B.S., Mining Engineering, Bolivian School of Mines, 1971; M.S., Mining Engineering, Colorado School of Mines, 1977; Ph.D., Mining Engineering, Colorado School of Mines, 1985.

Dr. Calizaya joined the University of Utah as an Associate professor in January 2002. In addition to his teaching duties, he is the P.I. of two projects: Hazard Identification and Risk Assessment for Small Mines, and Longwall gob Modeling. His experience in mining engineering extends to 1972 and includes six years as Chief Ventilation Engineer at PT Freeport Indonesia and five years as Research Associate at the University of Nevada, Reno, and four years as Research Fellow at the University of California, Berkeley.

Selected Publications
For complete listing, please contact Dr. Calizaya

Research Statement

The design of ventilation systems for underground mines is becoming increasingly more important with the health concerns of diesel particulate matter. Mine ventilation systems all use some form of barriers to direct the air flow in the desired direction. The most common barrier is mason block stoppings. Depending on the design of the stopping, the contact of the stoppings to the surrounding rocks and the overall perfornce of the stopping as the mine structure deforms over time, the integrety of the stopping to prevent air leakage varies considerably. This task will investigate the leakage characteristics of the mine stoppings both in operating undergorund mines as well as laboratory modelling.

Research Keywords, Regions of Interest and Languages:

Keywords: ventilation (2)
Languages: Indonesian (2); Spanish (198)

Research Projects

51003102 [details]

Airflow Behavior in Longwall Mining

The objective of this study is to represent a mine gob by a physical model and use that model to calibrate a computer model. The computer model will be developed to conduct parametric studies to predict the outbreak of self heating in the gob and formulate strategies to reduce the risk of spontaneous combustion. Specifically, two parameters will be investigated: gob gas reduction by adding a gas drainage system to the model, and gas replacement by pumping nitrogen into the gob. Finally, the computer model will be modified to represent an existing longwall coal mine. The parameters will be varied to minimize the leakage of air to the gob which may lead to spontaneous combustion.

Project Grants:Airflow Behavior in Longwall Mining: Funding Incentive seed Grant 2005