"Underground mine fires have always been a major concern. Past events show that fire poses a severe safety hazard to mine workers, and causes tremendous economic loss to the mine and surrounding communities. A good understanding of the interaction between a mine fire and the mine ventilation network is crucial for effective fire emergency planning and hazard control. Unfortunately our understanding of a fire is still limited due to the complex nature of mine fires and a lack of adequate resource for studying them.
A new multiscale modeling approach coupling conventional 1D and 3D techniques has shown to be a useful tool to study a mine fire with the latter providing boundary conditions to the former and vice-versa. During simulation, the !D and 3D models dynamically exchange information at the interfaces and operate in parallel. This method has the advantage of low computational complexity when compared to a full 3D model, but provides the same accuracy.
Two cases studies were used to demonstrate that the multiscale model was a valid technique for simulating a complex mine fire and the accompanying airflow behavior such as throttling and buoyancy effects during a fire emergency. In both cases, the multiscale model presented a result that was superior to both the full 1D model and the 3D model"--Abstract, page iii.
Tien, Jerry C.
Awuah-Offei, Kwame, 1975-
Ge, Mao Chen
Mining and Nuclear Engineering
Ph. D. in Mining Engineering
Missouri University of Science and Technology. Department of Mining Engineering
Missouri University of Science and Technology
xiv, 186 pages
© 2012 Xichen Zhang, All rights reserved.
Dissertation - Restricted Access
Mine fires -- Simulation methods
Mine safety -- Research
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Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu:80/record=b9660374~S5
Zhang, Xichen, "Underground mine fire simulation using multiscale modeling approach" (2012). Doctoral Dissertations. 88.
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