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dc.contributor.advisorAnani, Angelina
dc.contributor.authorAkbulut, Nilufer Blanche
dc.creatorAkbulut, Nilufer Blanche
dc.date.accessioned2025-11-26T20:16:24Z
dc.date.available2025-11-26T20:16:24Z
dc.date.issued2025
dc.identifier.citationAkbulut, Nilufer Blanche. (2025). 3D Digital Twin for Dynamic Rock Movement Visualization at the SX Mine Using Virtual Reality (Doctoral dissertation, University of Arizona, Tucson, USA).
dc.identifier.urihttp://hdl.handle.net/10150/679076
dc.description.abstractGround stability is crucial in underground mining, as rock mass displacement can lead to failures like ground falls, a major cause of fatalities. Traditional predictive models struggle to accurately forecast displacement, making real-time monitoring essential. However, managing vast amounts of geotechnical data presents challenges. Even though challenges exist around assessing rock mass conditions for ground fall, there are no systematic approaches to implementing real-time monitoring, nor are there technologies being developed that save engineers’ and workers’ time. This dissertation introduces a digital twin (DT) that provides a dynamic three-dimensional (3D) representation of underground mine openings that employs scientific visualizations and immersive analytics (IA) in virtual reality (VR). The overall goal of the dissertation is to provide an effective and efficient communication tool for underground safety concerns surrounding rock movement caused by displacement. The ability to communicate safety promptly allows for the mitigation of accidents and fatalities and allows for the right action to be taken. A monitoring framework with near-real-time visualization is developed and implemented at the San Xavier Underground Mine Laboratory (SX mine). Rock displacement data is collected using a proposed monitoring framework and transferred to a 3D DT in near-real time and visualized as a Trigger Action and Response Plan (TARP) level heatmap. This approach improves spatial analysis, enhances implementations of TARP protocols, and supports better geotechnical decision-making, all while increasing operational efficiency. The geotechnical DT was developed by following the proposed monitoring framework and standards set by DT industry experts, enabling near-real-time data flow to feed the visualizations. The scientific visualizations were developed as a displacement heatmap on the surface of a 3D model to be analyzed intuitively and competently. Finally, to fully utilize the 3D visualization, the DT is implemented into a VR platform where a user can immerse themselves in the 3D visualization. A structured monitoring framework is proposed to address the lack of standardized guidelines for DTs, visual analytics (VA), and VR in underground mining. Implemented at the SX mine using Unity, this cost-effective DT demonstrates the potential of advanced visualization technologies to improve mine safety, ground support design, and geotechnical analysis.
dc.language.isoen
dc.publisherThe University of Arizona.
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectdigital twins
dc.subjectmonitoring systems
dc.subjectrock mechanics
dc.subjectscientific visualizations
dc.subjectunderground mining
dc.subjectvirtual reality
dc.title3D Digital Twin for Dynamic Rock Movement Visualization at the SX Mine Using Virtual Reality
dc.typetext
dc.typeElectronic Dissertation
thesis.degree.grantorUniversity of Arizona
thesis.degree.leveldoctoral
dc.contributor.committeememberWetherell, Meaghan
dc.contributor.committeememberMomayez, Moe
dc.contributor.committeememberKemeny, John
dc.contributor.committeememberBrown, Leonard
dc.description.releaseRelease after 11/24/2026
thesis.degree.disciplineGraduate College
thesis.degree.disciplineMining Geological & Geophysical Engineering
thesis.degree.namePh.D.


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