Abstract Currently, most bridge inspections are conducted visually by trained experts to identify damaged areas or components. While fairly rapid to conduct and cost-effective to implement, there are a number of limitations and drawbacks. Therefore, there is a critical need for high-quality engineering data to be collected efficiently during routine bridge inspections and following unanticipated loads (e.g., vehicular collision). The primary objective of this project is to develop a methodology for acquiring vibration measurements using terrestrial laser scanners and to develop an algorithm to extract key engineering data from these measurements, such that improved structural health information can be utilized for decision-making.
Description The long-term goal of this research is to minimize risk to motorists and reduce unnecessary closures through enhanced assessments methods for bridge structures, both routinely and after extreme events. The primary objective of this project is to develop a methodology for acquiring vibration measurements using commercially available terrestrial laser scanners and to develop an algorithm to extract key engineering data from these measurements, such that improved structural health information can be utilized for decision-making.
Impacts/Benefits This project will develop a rapid and efficient methodology for acquiring key engineering quantities from bridge structures. This data will help inform decisions regarding the safety of bridges during routine inspections as well as after unanticipated events like vehicular collisions. Improved decision-making can help ensure the safety of bridge structures and US transportation networks.
Deliverables
Download the Final Report