Incorporating Spatial Uncertainty to Advance the Practice of Site-Investigations, Geological-Geotechnical Characterization and TBM Performance Prediction (UTI-UTC 24)

This research project addresses the challenges posed by spatial variability and uncertainty in subsurface conditions during tunneling operations. By integrating geostatistical methods with tunneling data, the study aims to enhance geological and geotechnical site characterization and improve the predictive accuracy of tunnel boring machine (TBM) performance. The framework incorporates probabilistic models to quantify and propagate spatial uncertainty across soil and rock interfaces, enabling better-informed decisions during design and construction phases. Case studies involving TBM tunneling projects in Washington, D.C. and Seattle demonstrate the effectiveness of the approach, particularly in forecasting ground condition transitions and identifying geohazards such as karstic voids. The methodology supports more reliable risk assessments, adaptive tunneling strategies, and cost-effective infrastructure delivery through improved data interpretation and uncertainty management.

Language

• English

Project

• Status: Completed
• Funding: $135,311.00
• Contract Numbers:

  69A3551747118

• Sponsor Organizations:

  University Transportation Center for Underground Transportation Infrastructure

  Colorado School of Mines
  Golden, CO  United States  80401

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Colorado School of Mines

  1500 Illinois St
  Golden, CO  United States  80401
• Performing Organizations:

  Colorado School of Mines

  1500 Illinois St
  Golden, CO  United States  80401
• Principal Investigators:

  Mooney , Mike

  Trainor-Guitton, Whitney

• Start Date: 20200401
• Expected Completion Date: 20220430
• Actual Completion Date: 20220502
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Construction sites; Data analysis; Geotechnical engineering; Predictive models; Tunnel borers
• Subject Areas: Bridges and other structures; Data and Information Technology; Geotechnology; Highways;

Filing Info

• Accession Number: 01954485
• Record Type: Research project
• Source Agency: University Transportation Center for Underground Transportation Infrastructure
• Contract Numbers: 69A3551747118
• Files: UTC, RIP
• Created Date: May 7 2025 5:56PM