Preserving Coastal Infrastructure through the Design and Implementation of Image-Based Structural Health Monitoring (iSHM)

With infrastructure systems across the globe approaching the end of their service lives, there is an ever-pressing need for techniques to assess current condition and remaining life. As a case in point, bridges in the United States, with an average age approaching 45 years, represent one particular infrastructure system that is at risk. In this environment, deterioration has outpaced solutions for preservation and owners are faced with the challenges of assessing and managing this infrastructure without the resources and staffing necessary for proper management. This feature is particularly critical in coastal regions such as Hampton Roads, where high-profile infrastructure systems such as the Hampton Road Bridge Tunnel and Chesapeake Bay Bridge provide critical linkages along the Mid-Atlantic coastal corridor. The infrastructure in these coastal regions are particularly vulnerable to environmental change such as sea level rise extreme weather events, which not only has the potential to impact daily and event driven operation, but also impact the long-term performance as these structures are exposed to more extreme operational demands. Examples of these extreme operational demands include: larger and overloaded trucks, greater thermal cycles, more exposure to salting during snowstorm events, topside seawater exposure from storm surges, and underside exposure saltwater spray. Assessment represents one of the key components of the broader framework of structural health monitoring (SHM) and is essential to an overall mission of transportation sustainability, specifically infrastructure sustainability. Historically, much of this assessment has relied heavily on visual inspection as the standard method to characterize condition state, but research has shown that visual inspections yield results that are subjective and somewhat unreliable. While traditional visual assessment has a number of limitations when used in an subjective manner, vision as a quantitative tool is proving to be a powerful approach for assessment of condition and structural behavior.


    • English


    • Status: Completed
    • Funding: $150,435
    • Contract Numbers:


    • Sponsor Organizations:

      Virginia Transportation Research Council

      530 Edgemont Road
      Charlottesville, VA  United States  22903

      University of Virginia, Charlottesville

      Center for Transportation Studies
      P.O. Box 400742, Thornton Hall, D228
      Charlottesville, VA  United States  22903

      Office of the Assistant Secretary for Research and Technology

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

      Mid-Atlantic Transportation Sustainability Center

      University of Virginia
      Charlottesville, VA  United States 
    • Performing Organizations:

      University of Virginia, Charlottesville

      Center for Transportation Studies
      P.O. Box 400742, Thornton Hall, D228
      Charlottesville, VA  United States  22903
    • Principal Investigators:

      Harris, Devin

    • Start Date: 20160801
    • Expected Completion Date: 0
    • Actual Completion Date: 20190220

    Subject/Index Terms

    Filing Info

    • Accession Number: 01645922
    • Record Type: Research project
    • Source Agency: Mid-Atlantic Transportation Sustainability Center
    • Contract Numbers: DTRT13-G-UTC33
    • Files: UTC, RIP
    • Created Date: Sep 11 2017 12:43PM