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    3D Digital Twin for Dynamic Rock Movement Visualization at the SX Mine Using Virtual Reality

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    Name:
    azu_etd_22122_sip1_m.pdf
    Embargo:
    2026-11-24
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    5.631Mb
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    Author
    Akbulut, Nilufer Blanche
    Issue Date
    2025
    Keywords
    digital twins
    monitoring systems
    rock mechanics
    scientific visualizations
    underground mining
    virtual reality
    Advisor
    Anani, Angelina
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © 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.
    Embargo
    Release after 11/24/2026
    Abstract
    Ground 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.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Mining Geological & Geophysical Engineering
    Degree Grantor
    University of Arizona
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