A BIM component-centred bridge digital twin for smart and practical bridge maintenance

Xiong, Guanyu, Gao, Yan ORCID: https://orcid.org/0000-0001-5890-9717, Chai, Chengzhang ORCID: https://orcid.org/0000-0001-6911-8048, Chen, Kehong and Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133 2025. A BIM component-centred bridge digital twin for smart and practical bridge maintenance. Presented at: ICCBEI 2025, Hong Kong, 08-10 January 2025. Published in: Xiong, Guanyu and Li, Haijiang eds.

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Abstract

For bridge visual inspection and maintenance, a fundamental task is to determine the condition of a bridge component from its appearance as captured by images. Then the information of the identified defects is recorded in documents and assessed collectively by bridge practitioners to determine what maintenance activities are required for the component. This engineering practice naturally fits for the idea of IFC components in BIM workflow. So, to automate this labour-intensive and time-consuming process, a smart and practical framework is proposed utilising BIM component-centred bridge digital twin system. In this system, sensors-equipped robotics is integrated with the bridge digital twin to identify any defect. Component-wise defect data is linked to the BIM model for detailed and holistic assessment, ensuring that maintenance decisions are fully informed. This framework is validated by demonstration of key functions including RTK-enabled drone for automatic defect localisation, defect quantification by computer vision, defect data storage in SQL and visualisation of enriched BIM model in interactive web-based platform for maintenance decision-making. It is demonstrated that the framework can streamline defect data transfer from on-site inspection to an online bridge digital twin, supporting decision-making processes by referencing relevant industrial standards.

Item Type:	Conference or Workshop Item (Paper)
Status:	Unpublished
Schools:	Schools > Engineering
Subjects:	T Technology > TG Bridge engineering
Date of First Compliant Deposit:	23 May 2025
Last Modified:	26 Jun 2025 16:00
URI:	https://orca.cardiff.ac.uk/id/eprint/178445

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