Using Automated Low-Cost Track Monitoring Technologies for Rail Thermal Buckling Prevention

Safety is the principal concern of the railway industry, and track alignment irregularities pose risks to the safe operation of trains. According to the Federal Railroad Administration (FRA) accident database, "Track alignment irregular (buckled/sun kink)" is the most severe accident cause. include improving rail safety by developing accurate rail neutral temperature (RNT) measurement technology. The proposed research will contribute to further improvement and verification of the machine learning (ML)-RNT predictive tool, which can support nondestructive and non-disrupting RNT measurement without the need for baseline measurement. The proposed long-term data collection system and machine learning models will contribute to stress-sensitive information extraction and a better understanding of wave propagation in rails.

Language

  • English

Project

  • Status: Active
  • Funding: $162000
  • Contract Numbers:

    69A3552348308

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

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

    Center for Transformative Infrastructure Preservation and Sustainability

    North Dakota State University
    Fargo, North Dakota  United States  58108-6050
  • Project Managers:

    Tolliver, Denver

  • Performing Organizations:

    University of Utah

    Department of Civil and Environmental Engineering
    110 Central Campus Drive Suite 2000
    Salt Lake City, UT  United States  84112
  • Principal Investigators:

    Zhu, Xuan

  • Start Date: 20240918
  • Expected Completion Date: 20260917
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Source Data: CTIPS-037

Subject/Index Terms

Filing Info

  • Accession Number: 01935232
  • Record Type: Research project
  • Source Agency: Center for Transformative Infrastructure Preservation and Sustainability
  • Contract Numbers: 69A3552348308
  • Files: UTC, RIP
  • Created Date: Oct 27 2024 1:24PM