Change detection in drill and blast tunnels from point cloud data. (May 2018)

• Record Type: Journal Article
• Authors: Walton, Gabriel; Diederichs, Mark S.; Weinhardt, Klaus; Delaloye, Dani; Lato, Matthew J.; Punkkinen, Allan
• Is Part Of: International journal of rock mechanics and mining sciences. Volume 105(2018)
• Page Start: 172
• Page End: 181
• Publication Date: 2018-05
• Subjects: Change detection -- LiDAR -- Laser scanning -- Tunnelling -- Mining; Rock mechanics -- Periodicals; Soil mechanics -- Periodicals; Mining engineering -- Periodicals; Roches, Mécanique des -- Périodiques; Sols, Mécanique des -- Périodiques; Technique minière -- Périodiques; 624.151305
• DOI: 10.1016/j.ijrmms.2018.03.004
• Languages: English
• ISSNs: 1365-1609

Abstract

Highlights: Different approaches for change detection are considered for application in drill and blast tunnels. A local averaging approach is shown to provide improved accuracy over closest point approaches. The proposed methodology is applied to highly stressed mine excavations. Displacements measured using the point cloud data closely match extensometer measurements.