Development of Low-Cost Wireless Sensors for Real-Time Lifeline Condition Assessment

This research proposes to develop a low-cost wireless sensor to assess the condition of the lifeline bridges following a natural hazard. The primary goal of the sensor will be to minimize cost and increase the ease of installation. Off-the-shelf hardware will be adopted to meet the design criteria, emphasizing multiple year autonomous operation. The sensors will be configured to measure individual member demands, calculated locally at the node, eliminating the challenge of time-synchronization. Structural models will be developed to predict the loss of the structure based on these measurements. The sensors will be paired with a wide-area network, allowing real-time analysis of the entire transportation system following an event. Therefore, this project will deliver a low-cost sensor that can be widely deployed throughout the Pacific Northwest transportation network to provide first responders with an overview of the current state, and route appropriately.


    • English


    • Status: Active
    • Funding: $19993.00
    • Contract Numbers:


    • Sponsor Organizations:

      Research and Innovative Technology Administration

      University Transportation Centers Program
      1200 New Jersey Avenue, SE
      Washington, DC  United States  20590
    • Project Managers:

      Borello, Daniel

    • Performing Organizations:

      Oregon State University, Corvallis

      Department of Civil Engineering
      202 Apperson Hall
      Corvallis, OR  United States  97331-2302
    • Principal Investigators:

      Borello, Daniel

    • Start Date: 20151216
    • Expected Completion Date: 0
    • Actual Completion Date: 20161215
    • Source Data: RiP Project 39243

    Subject/Index Terms

    Filing Info

    • Accession Number: 01556944
    • Record Type: Research project
    • Source Agency: Pacific Northwest Transportation Consortium
    • Contract Numbers: DTRT13-G-UTC40
    • Files: UTC, RiP
    • Created Date: Mar 14 2015 1:00AM