Collaborative Proposal: Multi-Sensor Sheets Based on Large-Area Electronics for Advanced Structural Health Monitoring of Civil Infrastructure

Many bridges in the country have reached their intended service life limit. Some of them do not pass current load-ratings or show deterioration such as corrosion and cracking. Monies for replacement and repair of bridges, however, are scarce. In order to keep these critical infrastructure components in operation, inspection, maintenance, and monitoring play a vital role. Existing monitoring approaches use sensors such as strain gauges or accelerometers that capture a physical measurement at a point. One pressing problem is fatigue cracking in fracture critical bridge members, which can have disastrous consequences to the infrastructure and public safety. Because detection of fatigue cracks can be difficult, it is essential that a sensing technology is utilized that is able to measure strains at a large number of points with high accuracy. One challenge by deploying a traditional array of strain gauges or strain rosettes is the complexity in the wiring. Also, for reinforced or prestressed concrete structures, damage that may lead to catastrophic failure is typically associated with internal processes such as wire fracture that may not necessarily be detectable on the surface. Acoustic Emission (AE) monitoring techniques represent a possible solution to this problem. Often, however, it is not feasible to install a network of AE sensors due to the prohibitive costs associated with such a system. Current available technologies give bridge managers access to sparsely spaced sensors. These, unfortunately, do not allow reliable early detection of anomalies such as strain concentrations or cracks at locations of even modest distances away from the sensor. To infer localized anomalies, such forms of indirect sensing rely on complex algorithms whose reliability is challenged by practical noise sources (i.e., temperature, precipitation, and normal loading variability). Thus, a need exists for a cost-effective sensing approach that is able to incorporate a variety of sensors applied in form of very dense arrays to maximize the chances for capturing damage externally as well as internally at an early stage. The measurements should support the bridge owners for informed decision making. This research addresses the need for direct sensing, where anomalies are sensed at close proximity via a dense array of sensors.

Language

  • English

Project

  • Status: Completed
  • Funding: $348438.00
  • Contract Numbers:

    DTRT12-G-UTC16

    CAIT-UTC-025

  • Sponsor Organizations:

    Center for Advanced Infrastructure and Transportation

    Rutgers University
    100 Brett Road
    Piscataway, NJ  United States  08854-8058

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    New Jersey Department of Transportation

    1035 Parkway Avenue
    Trenton, NJ  United States  08625
  • Project Managers:

    Lambert, David

    Szary, Patrick

  • Performing Organizations:

    Princeton University

    Department of Civil Engineering
    Princeton, NJ  United States  08450
  • Principal Investigators:

    Glisic, Branko

  • Start Date: 20130101
  • Expected Completion Date: 0
  • Actual Completion Date: 20140630
  • Source Data: RiP Project 33756

Subject/Index Terms

Filing Info

  • Accession Number: 01560556
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: DTRT12-G-UTC16, CAIT-UTC-025
  • Files: UTC, RiP
  • Created Date: Apr 16 2015 1:01AM