Digital twin of reinforced concrete bridges for intelligent asset management

Project Member(s): Li, Y.

Funding or Partner Organisation: Smartcrete CRC
Smartcrete CRC

Start year: 2023

Summary: Road Bridges are life-line infrastructure providing service to the community. Current bridge asset management at network level utilise data-driven models derived from level 2 visual inspections for bridge deterioration prediction, while load rating assessment is conducted on specific bridges using as-built drawings or limited monitoring when required. We will create a proof of concept for a digital twin of concrete girder bridges which form 60% of the network in Australia through integration of 3D visualisation, deep learning algorithms for crack identification, IoT, sensor/NDT and laser technologies and advanced numerical modelling. Outcome will deliver a digital solution for optimised bridge asset management enhancing safety at a reduced cost.

Publications:

Ma, X, Li, Y, Yang, Z, Li, S & Li, Y 2024, 'Lightweight network for millimeter-level concrete crack detection with dense feature connection and dual attention', Journal of Building Engineering, vol. 94, pp. 109821-109821.
View/Download from: Publisher's site

FOR Codes: Road safety, Building management and services, Infrastructure engineering and asset management, Structural engineering , Construction engineering

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.