Description

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 manual inspection by field workers to do so.

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.

Presentation Date

03 Aug 2020, 4:00 pm - 4:30 pm

Meeting Name

INSPIRE-UTC 2020 Annual Meeting

Department(s)

Civil, Architectural and Environmental Engineering

Comments

RR-1

Document Type

Presentation

Document Version

Final Version

File Type

text

Language(s)

English

portrait of presenter

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Aug 3rd, 4:00 PM Aug 3rd, 4:30 PM

Bridge Resilience Assessment with INSPIRE Data

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 manual inspection by field workers to do so.

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.