Structural performance monitoring using a dynamic data-driven BIM environment

Davila Delgado, J. M.; Butler, L.J.; Brilakis, I.; Elshafie, M.Z.E.B; Middleton, C.R.

Abstract

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.

• Journal Article Type: Article
• Acceptance Date: Oct 3, 2017
• Online Publication Date: Feb 9, 2018
• Publication Date: May 1, 2018
• Deposit Date: Feb 15, 2019
• Publicly Available Date: Feb 15, 2019
• Journal: Journal of Computing in Civil Engineering
• Print ISSN: 0887-3801
• Electronic ISSN: 1943-5487
• Publisher: American Society of Civil Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 32
• Issue: 3
• DOI: https://doi.org/10.1061/%28ASCE%29CP.1943-5487.0000749
• Public URL: https://uwe-repository.worktribe.com/output/868639
• Publisher URL: https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000749
• Related Public URLs: https://www.repository.cam.ac.uk/handle/1810/276220
• Additional Information: Additional Information : This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000749
• Contract Date: Feb 15, 2019