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Management of structural monitoring data of bridges using BIM

Delgado, Juan M.Davila; Davila Delgado, J.M.; Butler, Liam J.; Gibbons, Niamh; Brilakis, Ioannis; Elshafie, Mohammed Z.E.B.; Middleton, Campbell

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Juan M.Davila Delgado

Manuel Davila Delgado
Associate Professor - AR/VR Development with Artificial Intelligence

Liam J. Butler

Niamh Gibbons

Ioannis Brilakis

Mohammed Z.E.B. Elshafie

Campbell Middleton


© 2016 Published with permission by the ICE under the CC-BY licence. In addition to the traditional benefits associated with the installation of structural health monitoring systems, reductions in construction, operational and maintenance costs, and improved performance and quality can be achieved by effectively using the acquired data. However, considered in isolation, the raw data are of little use and value. They must be processed and put into a geometric context within the infrastructure asset, which facilitates the interpretation and analysis of the data. This supports informed decision making, which in turn leads to effective actions. This study outlines a new approach that enables the modelling of structural performance monitoring systems in a Building Information Modelling (BIM) environment and hence permits sensor data to be visualised directly on BIM models. The paper addresses aspects related to: (a) interoperability and standard data models; (b) management and visualisation of monitoring data; and (c) data interpretation and analysis. A prestressed concrete bridge, with a comprehensive built-in structural performance monitoring system, has been used as a case study. The case study demonstrates that by including and visualising monitoring data directly on BIM models the acquired data gain geometrical context within the built asset, which facilitates better interpretation, analysis and all the data-sharing benefits associated with the BIM approach.


Delgado, J. M., Davila Delgado, J., Butler, L. J., Gibbons, N., Brilakis, I., Elshafie, M. Z., & Middleton, C. (2017). Management of structural monitoring data of bridges using BIM. Proceedings of the ICE - Bridge Engineering, 170(3), 204-218.

Journal Article Type Conference Paper
Acceptance Date Oct 20, 2016
Online Publication Date Nov 28, 2016
Publication Date Sep 1, 2017
Publicly Available Date Feb 15, 2019
Journal Proceedings of the Institution of Civil Engineers: Bridge Engineering
Print ISSN 1478-4637
Electronic ISSN 1751-7664
Publisher Thomas Telford
Peer Reviewed Peer Reviewed
Volume 170
Issue 3
Pages 204-218
Public URL
Publisher URL


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