Show simple item record

dc.contributor.authorWatson, Curtis W. A.en
dc.date2016-04-14 23:09:19.727
dc.date.accessioned2016-04-19T21:20:44Z
dc.date.available2016-04-19T21:20:44Z
dc.date.issued2016-04-19
dc.identifier.urihttp://hdl.handle.net/1974/14235
dc.descriptionThesis (Master, Mining Engineering) -- Queen's University, 2016-04-14 23:09:19.727en
dc.description.abstractThe standard for estimating roughness for the purposes of underground mine ventilation planning is to choose values found in a variety of textbooks that attempt to match the excavation type. These values are then used in the Atkinson equation made popular in 1935 by McElroy to determine pressure drops and energy requirements. The Darcy-Weisbach equation, developed in the 1950s, has been accepted by most other engineering disciplines but lacks critical information for widespread use in underground mines, namely, the friction factor. As the mining ventilation field moves towards the use of simulations and more refined models, a simple and efficient method for extracting the friction factor is needed. This thesis proposes new LiDAR-based methods for estimating this factor in underground mining tunnels. By using a mobile LiDAR platform low density point clouds are collected then analysed to estimate the friction factor and are compared to those calculated from ventilation data gathered at Barrick Gold Corporation - Hemlo. The two original methods described, in addition to four previously published methods, are shown to be applicable to this 3D point cloud data. The original methods and the IBA method, put forward by Rønn and Skog in 1997, are consistent with both the friction factors already in use at the mine and with the ventilation data collected. Ideas for further improving this approach for friction factor estimation are also suggested.en
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsQueen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canadaen
dc.rightsProQuest PhD and Master's Theses International Dissemination Agreementen
dc.rightsIntellectual Property Guidelines at Queen's Universityen
dc.rightsCopying and Preserving Your Thesisen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectPoint Cloudsen
dc.subjectUnderground Scanningen
dc.subjectuGPSen
dc.subjectMine Ventilationen
dc.subjectMiningen
dc.titleTowards Estimating Friction Factors of Mine Drifts from Low Density Point Cloudsen
dc.typethesisen
dc.description.degreeM.A.Sc.en
dc.contributor.supervisorMarshall, Joshua A.en
dc.contributor.departmentMining Engineeringen
dc.degree.grantorQueen's University at Kingstonen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record