![]() Most of the conventional inspection methods require visual inspection by maintenance engineers. SHM offers robust diagnostic and prognostic tools that can detect critical responses of a structure and evaluate any unusual symptoms, serviceability, and safety concerns ( Carden and Fanning, 2004 Wu and Jahanshahi, 2018). Changes in structural performances can be identified by detailed SHM assessments ( Okasha and Frangopol, 2012 Miao et al., 2018). ![]() Structural Health Monitoring (SHM) offers attractive strategies to retain public safety, undertake rapid infrastructure management, and recover a structure from its critical state in ease ( Durager et al., 2013 Newhook and Edalatmanesh, 2013). In the past, numerous catastrophic failures occurred world-wide most of these tragedies were due to progressive deterioration of structures over the years ( Mirza and Shafqat Ali, 2017 Cawley, 2018), demanding an immediate need for systematic monitoring of structures based on their current condition. Keeping track of their usage, performance, and integrity provides impetus to maintain public safety and achieve improved satisfaction to the infrastructure owners and end-users. ![]() The proposed framework attempts to improve the visualization of SHM data and facilitates infrastructure owners in real-time tracking of critical transport infrastructure.Ĭivil infrastructure such as bridges, buildings, dams, wind turbines, and pipelines are prone to deterioration as they age. In this paper, a steel bridge located in London, Ontario (Canada), is utilized as a case study where both BIM and SHM are integrated with a unified fashion. The proposed framework developed in this study features an online visualization of data, real-time system identification, and efficient decision-making. The objective of this paper is to take one step forward from static toward dynamic BIM by representing and visualizing real-time SHM data. BIM models in such approaches can serve as static information that contains as-built data. Current BIM-based approaches have the capabilities of facilitating design, production, and construction management of structures. Building Information Modeling (BIM) is a powerful data management tool that can be utilized as a base platform to analyze and visualize long-term SHM data. However, a large amount of raw data resulting from the data logger of these SHM systems require appropriate tools to visualize and diagnose the data systematically. Structural Health Monitoring (SHM) has recently gained significant interests in inspection and maintenance of large-scale structures. Today's complex modern infrastructure requires robust and autonomous condition assessment as they continue to age with increasing operational loads and extreme climatic events. Department of Civil and Environmental Engineering, Western University, London, ON, Canada.
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