Structural Health Monitoring of Bridges

The purpose of this project is to develop an indirect structural health monitoring (SHM) approach, in which one makes use of vibration data collected from sensors installed on vehicles as they traverse the bridge or other infrastructure, rather than from sensors installed on the structure itself. The project vision is that by continuously collecting data from many vehicles, it will become possible to acquire a timely and comprehensive view of the status of the infrastructure a low cost and plan for its maintenance accordingly. An initial exploratory study based entirely on mathematical models and computational simulations allowed the project to demonstrate the feasibility of the indirect monitoring approach for these mathematical models and the desirability of testing this technique on physical models. Subsequently the project conducted an experimental study using, first a laboratory model, and then a field experiment in the East Campus Garage. These tests are relatively simple experiments and have been used to examine and calibrate the classification methodology and have been an attempt to create the type of scenario that might be encountered later on. In order to examine actual damage conditions under a controlled setting, in 2014 the project plans to conduct additional experiments with the lab model, in which the project will gradually create increasingly large cracks in the beams and girders. The project will complete the analysis of the data recorded during the East Campus Garage experiments. The main focus during this period will be on the Light Rail Line. Since sudden damage to bridges occurs only sporadically, the project will study damage in reverse; that is, in coordination with the Port Authority the project will select bridges that are scheduled to be retrofitted and will examine whether the project can verify with the methodology that changes occur to a bridge during the retrofit or repair from its initial damaged state. The project plan to concentrate also on damage detection in the railway track on "the T." Such damage is a much more common occurrence than bridge damage and of great interest to the railway industry. It is expected that such damage will also affect the dynamic behavior of the train and that it might be possible to detect such changes from the accelerometer signals using the same general detection methodology the project are developing for damage bridge detection.

    Language

    • English

    Project

    • Status: Active
    • Funding: $90000.00
    • Contract Numbers:

      DTRT12GUTG11

    • Sponsor Organizations:

      Research and Innovative Technology Administration

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

      Carnegie Mellon University

      Pittsburgh, PA  United States 

      Technologies for Safe and Efficient Transportation University Transportation Center

      Carnegie Mellon University
      Pittsburgh, PA  United States  15213
    • Project Managers:

      Ehrlichman, Courtney

    • Principal Investigators:

      Bielak, Jacobo

    • Start Date: 20140131
    • Expected Completion Date: 0
    • Actual Completion Date: 20141231
    • Source Data: RiP Project 36206

    Subject/Index Terms

    Filing Info

    • Accession Number: 01517372
    • Record Type: Research project
    • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
    • Contract Numbers: DTRT12GUTG11
    • Files: UTC, RiP
    • Created Date: Mar 7 2014 1:00AM