Bridge Resilience Assessment with INSPIRE Data (RR-1)
Universities: Georgia Institute of Technology
Missouri University of Science and Technology
Principal Investigator: Dr. Iris Tien, Georgia Institute of Technology
PI Contact Information: Phone: (404) 894-8269 | Email: firstname.lastname@example.org
Co-Principal Investigators: Dr. Reginald DesRoches, Rice University
Dr. Genda Chen, Missouri S&T
Funding Sources and Amounts Provided:
Georgia Institute of Technology: $138,200
INSPIRE UTC: $196,439
Total Project Cost: $334,639
Match Agency ID or Contract Number:
Georgia Institute of Technology: In-Kind Match | INSPIRE UTC: 00055082-02B
INSPIRE Grant Award Number: 69A3551747126
Start Date: March 1, 2017
End Date: December 31, 2018
Brief Description of Research Project:
Robotic data collection, both automated and remote, will enable post-disaster assessment of bridge components where it would normally be difficult and potentially dangerous for field workers to inspect manually.
Approach and Methodology: To perform bridge resilience assessment, data will first be used to update component, e.g., column and girder, fragility assessments. Next, these updated component assessments will be input into bridge models to update overall bridge safety assessments. Safety will be determined based on updated assessments of load carrying capacity and updated bridge fragility functions. Finally, comparing these assessments across the bridges inspected will enable prioritization of repair across the transportation system for decreased system down time and improved resilience.
Overall Objectives: This project aims to develop and validate a new framework that uses the data collected from the robotic exploration of infrastructure, particularly after a disaster, to assess the condition of bridges and prioritize these structures for repair. This will improve the resilience of the transportation system to disasters by targeting bridge repairs and enabling resources to be distributed more effectively across the system for more rapid recovery after a disaster.
Scope of Work in Year 1: (1) Create a framework of global resilience analysis, moving from component to system bridge fragility assessments, and (2) Develop a robust method and software for computationally efficient analysis of strongly nonlinear structures.
Scope of Work in Year 2: (1) Improve finite element modeling of structural components based on material and geometrical properties as well as inspection data (e.g., crack width, depth, and direction; corrosion induced mass loss of reinforcement), and (2) Understand the effect of corrosion on the strength and stiffness degradation of components and thus on the component and system fragility curves.
Describe Implementation of Research Outcomes:
Research outcomes and implementation plan will be described towards the end of this project.
Impacts/Benefits of Implementation:
Impact/Benefits of Implementation will be summarized at the end of this project.
Project Website: http://inspire-utc.mst.edu/researchprojects/rr-1/