Failure Surface Identification, Structural Domain Segregation, and Rock Mass Characterization Using Drone-Based Structure from Motion Photogrammetry (UTI-UTC 16)
This project aims to improve geotechnical characterization of rock masses in transportation infrastructure by leveraging drone-based Structure from Motion (SfM) photogrammetry. The research focuses on identifying failure surfaces, segregating structural domains, and assessing rock mass quality in complex geological environments. High-resolution imagery captured by unmanned aviation vehicles (UAVs) is processed to generate three-dimensional (3D) models of exposed rock faces, enabling detailed mapping of discontinuities, bedding planes, and joint sets. These models are used to extract quantitative parameters such as joint spacing, orientation, and roughness—key inputs for stability analysis and tunnel design. The project applies this methodology in field sites like Clear Creek Canyon, demonstrating its capability to support slope stability studies and tunnel alignment planning. By offering a rapid, safe, and accurate approach to rock mass characterization, the research contributes to more resilient and cost-effective design strategies for underground infrastructure.
Language
- English
Project
- Status: Completed
- Funding: $304,449.00
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Contract Numbers:
69A3551747118
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Sponsor Organizations:
University Transportation Center for Underground Transportation Infrastructure
Colorado School of Mines
Golden, CO United States 80401Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
1500 Illinois St
Golden, CO United States 80401 -
Performing Organizations:
1500 Illinois St
Golden, CO United States 80401 -
Principal Investigators:
Zhou, Wendy
Gutierrez, Marte
- Start Date: 20220101
- Expected Completion Date: 20241201
- Actual Completion Date: 20241201
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Drones; Geotechnical engineering; Photogrammetry; Rocks
- Subject Areas: Bridges and other structures; Geotechnology; Highways;
Filing Info
- Accession Number: 01954492
- Record Type: Research project
- Source Agency: University Transportation Center for Underground Transportation Infrastructure
- Contract Numbers: 69A3551747118
- Files: UTC, RIP
- Created Date: May 7 2025 6:38PM