Structural Performance Monitoring Using a Dynamic Data-Driven BIM Environment
Delgado, Juan Manuel Davila
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
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Delgado, J. M. D., Butler, L., Brilakis, I., Elshafie, M., & Middleton, C. (2018). Structural Performance Monitoring Using a Dynamic Data-Driven BIM Environment. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 32 (3. ARTN 04018009)https://doi.org/10.1061/(ASCE)CP.1943-5487.0000749
Structural health monitoring data has not been fully leveraged to support asset management due to a lack of effective integration with other datasets. A Building Information Modelling (BIM) approach is presented to leverage structural monitoring data in a dynamic manner. The approach allows for the automatic generation of parametric BIM models of structural monitoring systems that include time-series sensor data; and it enables data-driven and dynamic visualisation in an interactive 3D environment. The approach supports dynamic visualisation of key structural performance parameters, allows for the seamless updating and long-term management of data, and facilitates data exchange by generating Industry Foundation Classes (IFC) compliant models. A newly-constructed bridge near Stafford, UK, with an integrated fibre-optic sensor based monitoring system was used to test the capabilities of the developed approach. The case study demonstrated how the developed approach facilitates more intuitive data interpretation, provides a user-friendly interface to communicate with various stakeholders, allows for the identification of malfunctioning sensors thus contributing to the assessment of monitoring system durability, and forms the basis for a powerful data-driven asset management tool. In addition, this project highlights the potential benefits of investing in the development of data-driven and dynamic BIM environments.
External DOI: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000749
This record's URL: https://www.repository.cam.ac.uk/handle/1810/276220