Automated openBIM-enabled semantic interoperability framework for arch dam digital twins in safety monitoring

Fragmented safety-monitoring data across the dam construction lifecycle hinder reliable digital twins and automated asset management. This paper examines how such information can be exchanged automatically and semantically across heterogeneous systems using open industry standards. An automated openBIM-enabled framework is developed by integrating digital-twin information modelling with Industry Foundation Classes (IFC) and the Smart Applications REFerence ontology. A case study of an ultra-high arch dam validates the structured and traceable exchange of safety-monitoring information for digital twin applications. The results are important for owners and contractors because standards-based information continuity strengthens semantic consistency and interoperability in safety-monitoring processes. The framework provides a practical basis for future open-standard digital twins and further automation of construction lifecycle management systems.

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Publication Details

Journal
Automation in Construction
Published
2026-09-24
DOI
https://doi.org/10.1016/j.autcon.2026.107279
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
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Automated openBIM-enabled semantic interoperability framework for arch dam digital twins in safety monitoring

Shihang Zhang, Yaosheng Tan, Sherong Zhang, Chao Wang et al.
Automation in Construction
BIM and Construction Integration
article

Automated openBIM-enabled semantic interoperability framework for arch dam digital twins in safety monitoring

Shihang Zhang, Yaosheng Tan, Sherong Zhang, Chao Wang, Xiaohua Wang
article en

Abstract

Fragmented safety-monitoring data across the dam construction lifecycle hinder reliable digital twins and automated asset management. This paper examines how such information can be exchanged automatically and semantically across heterogeneous systems using open industry standards. An automated openBIM-enabled framework is developed by integrating digital-twin information modelling with Industry Foundation Classes (IFC) and the Smart Applications REFerence ontology. A case study of an ultra-high arch dam validates the structured and traceable exchange of safety-monitoring information for digital twin applications. The results are important for owners and contractors because standards-based information continuity strengthens semantic consistency and interoperability in safety-monitoring processes. The framework provides a practical basis for future open-standard digital twins and further automation of construction lifecycle management systems.

Automation in ConstructionVol. 193
China Three Gorges Corporation (China) (CN), Tianjin University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
BIM and Construction Integration
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