Author ORCID Identifier
Date Available
11-30-2021
Year of Publication
2021
Degree Name
Master of Science in Mining Engineering (MSMIE)
Document Type
Master's Thesis
College
Engineering
Department/School/Program
Mining Engineering
First Advisor
Dr. Steven Schafrik
Abstract
Ventilation network analysis is an integral part of maintaining a safe mine environment. Despite its important role, liberties are often taken with the representation of networks in ventilation network analysis software. In order to provide an alternative to heuristic methods used by ventilation engineers, a simplification algorithm has been developed. This algorithm is designed to work as a compliment to ventilation software. Comparisons of original ventilation networks and simplified networks show little to no change in fan operating point. The program utilizing this algorithm provides an alternative to reducing networks with a parallel factor. It can also be used in conjunction with parallel factor to achieve better results. The equivalent networks produced by the algorithm are also reversible. Demonstrations of this feature show its applicability in practical situations.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2021.428
Funding Information
This publication or project was supported by the Southeast Center for Agricultural Health & Injury Prevention through Grant 6U54OH007547.
Recommended Citation
Strong, Caitlin V., "Application of a Novel Ventilation Simplification Algorithm" (2021). Theses and Dissertations--Mining Engineering. 66.
https://uknowledge.uky.edu/mng_etds/66
