Data integration framework for multi-level information modelling and numerical analysis of deteriorated RC bridges

Alsharif, Mohamed Ayham; Thermou, Georgia; Ninic, Jelena; Tizani, Walid

Abstract

Structural assessment of deteriorated bridges is a vital step in the decision-making process for asset management. This paper proposes a novel Building Information Modelling (BIM) and Finite Element (FE) integration framework to analyse and retrofit damaged Reinforced Concrete (RC) bridges. The drive behind the framework is to increase the efficiency and accuracy of structural assessment. To this end, a software tool called Bridge Damage Information Modeller (BriDIM) is developed. Two-way automated data interpretation and exchange between BIM and FE is created to allow for the evaluation of the residual structural capacity against limit states based on a comprehensive multi-level numerical model. BriDIM automatically feedback the FE analysis results into BIM environment for visualisation. The research findings suggest that utilising BIM as a database that includes structural specifications, damage information and retrofitting aspects brings benefits in terms of consistency, modelling and computational efficiency throughout the life cycle of a structure. The proposed framework transforms the way we approach assessments by consolidating all mechanical damage-related information into one 3D visualised BIM model. Ultimately BriDIM holds potential in facilitating the development of Digital Twins for existing structures. The model can be used to create scenarios of various damage combinations and provide a reliable tool to simulate the current condition of the bridge and the expected conditions of the bridge in case of damage propagation or change in environmental conditions.

Citation

Alsharif, M. A., Thermou, G., Ninic, J., & Tizani, W. (2025). Data integration framework for multi-level information modelling and numerical analysis of deteriorated RC bridges. Advances in Engineering Software, 202, Article 103860. https://doi.org/10.1016/j.advengsoft.2024.103860

• Journal Article Type: Article
• Acceptance Date: Dec 22, 2024
• Online Publication Date: Jan 7, 2025
• Publication Date: 2025-04
• Deposit Date: Jan 8, 2025
• Publicly Available Date: Jan 8, 2026
• Journal: Advances in Engineering Software
• Print ISSN: 0965-9978
• Electronic ISSN: 1873-5339
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 202
• Article Number: 103860
• DOI: https://doi.org/10.1016/j.advengsoft.2024.103860
• Keywords: BIM, DIM, RC, Bridge, Automation, FE
• Public URL: https://nottingham-repository.worktribe.com/output/43952203
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0965997824002679