Preserving Coastal Infrastructure through the Design and Implementation of Image-Based Structural Health Monitoring (iSHM)
Role: Principal Investigator
Sponsor: Mid-Atlantic Transportation Sustainability Center – University Transportation Center
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. Within the context of infrastructure preservation, assessment provides owners and infrastructure managers with a basis to make performance-based decisions and allocate resources. Integrated within the context of assessment is the ability to measure condition state and translate these observations into descriptions of behavior. 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 there has been a major push in the area of sensing and sensors, the advancement of vision based sensing has also progressed at a rapid pace. While traditional visual assessment has a number of limitations when used in an subjective manner, vision as a quantitative tool has a number benefits for assessment.
The investigation leverage advances in vision-based assessment to develop and approach for integration into the domain of structural health monitoring. Within the scope of this work, the capabilities of vision-based deformation measurement approaches for describing condition state, system behavior, damage identification, and model updating are evaluated.