Linkage Projects - Grant ID: LP210100271

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP210100271

Funding Status
Active

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Funded Activity Summary

Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through deep learning with structural conditions and load-carrying capacities obtained from vibration tests and finite element model analysis for efficient structural damage detection and quantification. The project will lead to effective structural health monitoring and enhance structural safety and reduce maintenance costs.

Funded Activity Details

Start Date: 01-07-2021

End Date: 30-06-2024

Funding Scheme: Linkage Projects

Funding Amount: $290,831.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Civil Engineering | Pattern Recognition and Data Mining | Structural Engineering |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in Engineering | Expanding Knowledge in Technology

Other Keywords

Civil Engineering | Expanding Knowledge in Engineering | Expanding Knowledge in Technology | Pattern Recognition and Data Mining | Structural Engineering

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