Joint Meeting with ICE - Automating the Visual Inspection Process of Masonry Arch Bridges

Currently, the condition of masonry arch bridges is predominantly assessed via manual visual inspection. This process carries risk and cost due to the need for an inspection engineer to access sites in the proximity of busy railway lines and roads. Manual visual inspection is also known to be subjective, relying on the inspection engineer’s interpretation of the structures condition.
 
The collection of image and geometry data of a structure is becoming increasingly fast and this trend will continue, especially with the use of drones. There is therefore a large opportunity to collect and use this data to automate the visual inspection process through digital means.
 
This presentation will look at ways which have been developed for processing the collected image and laser scan data to automatically locate and identify defects on the structure and build a damage model of the structure. This damage model is used to inform the condition assessment of the structure through identifying failure mechanisms.
 
 

Event Information

Event Status
Places Available

Event Date
06/03/2019

Time
18:00 for 18:30 start

Price
Free Event no need to book

Location
Lecture Room 6, Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ

Speaker(s)
Daniel Brackenbury

Event Association
Centre for Smart Infrastructure and Construction

Event Contact
Mark Allen

Event Contact Email
mark@abdesignsolutions.co.uk


Regional Group
Bedfordshire and adjoining counties





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