Doctoral Dissertations

Abstract

"Underground mining environments present a complex interplay of thermal and non-thermal hazards, with fires constituting a significant risk due to the release of heat smoke from incomplete combustion. The propagation of these hazards through the ventilation networks underscores the critical need for understanding fire scenarios and their interaction with the underground environment. Existing knowledge regarding past mine fire disasters, and quantification of associated hazards and risks are insufficient for optimizing emergency evacuation strategies in the event of an underground fire emergency.

This research endeavors to bridge this gap by developing advanced quantitative risk assessment and evacuation models tailored specifically for underground mine fires. The primary goal of this work is to establish a robust integrated system for evaluating and optimizing emergency evacuation strategies by leveraging the capabilities of computational fluid dynamics (CFD) and agent-based model (ABM) simulations.

Furthermore, this study aims to investigate critical factors that significantly influence fire safety and emergency preparedness in underground mining environments. By identifying these critical factors, this work seeks to optimize the management of emergency evacuation plans, offering an enhanced fire safety solutions for underground mining environments" -- Abstract, p. iv

Advisor(s)

Xu, Guang

Committee Member(s)

Alagha, Lana Z.
Johnson, Catherine E.
Yuan, Liming
Kumar, Ashish Ranjan

Department(s)

Mining Engineering

Degree Name

Ph. D. in Mining Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2024

Pagination

xvi, 221 pages

Note about bibliography

Includes_bibliographical_references_(pages 62, 116, 165, 211 & 219-220)

Rights

©2024 Oluwafemi Babatunde Salami , All Rights Reserved

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 12408

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