Development of a New Airborne Portable Sensing System to Investigate Bridge Response

Full-scale structural health monitoring (SHM) provides a unique means to understand the bridge response to special vehicles by collecting authentic data on bridge response without modeling errors, however, the instrumentation of SHM systems is very expensive, which limits its use to only a few long-span bridges. Moreover, once sensors in these SHM systems are installed, they are not easily able to be relocated if a different, critical location is found. Therefore, this project proposes an alternative low-cost portable sensing system, which can be more useful in the management of a large number of bridges by state DOTs. In this research, a novel sensing system for monitoring structural response will be developed by integrating the optical and infrared sensors with an unmanned aerial vehicle (UAV) platform. This portable system aims to measure the three-dimensional (3D) dynamic displacements of a structure, which presents a unique advantage compared to the existing UAV-based techniques that allow the measurements in only one or two dimensions. By leveraging its airborne nature, the system can access difficult to reach areas, and provide critical angles from desired key locations, offering great flexibility compared to ground-based remote sensing techniques.

Language

  • English

Project

  • Status: Active
  • Funding: $123000
  • Contract Numbers:

    69A3551747108

  • 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:

    Mountain-Plains Consortium

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

    Tolliver, Denver

  • Performing Organizations:

    Colorado State University

    Department of Civil and Environmental Engineering
    Campus Delivery 1372
    Fort Collins, CO  United States  80523
  • Principal Investigators:

    Guo, Yanlin

    Atadero, Rebecca

  • Start Date: 20201111
  • Expected Completion Date: 20220731
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Source Data: MPC-643

Subject/Index Terms

Filing Info

  • Accession Number: 01759484
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: 69A3551747108
  • Files: UTC, RiP
  • Created Date: Nov 30 2020 11:38AM