Management of structural monitoring data of bridges using BIM

Abstract

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.

Big Data Analytics System for Costing Power Transmission Projects

“…For example, sensors are used in buildings to monitor temperature variations (Chen et al, 2014), indoor air quality (Kumar et al, 2016), and occupancy (Akkaya et al, 2015). They are also used to monitor power consumption (Suryadevara et al, 2015), structural condition (Davila Delgado et al, 2017;, and surrounding environmental conditions (Martín-Garín et al, 2018). However, current data management frameworks used in the AEC industry cannot handle the ever increasing and diverse data sets.…”

A Digital Twin of Bridges for Structural Health Monitoring

“…Figure 1 shows the completed bridge and its sensor instrumentation arrangement. Real-Time Sensor Data Visualization Using BIM SHM datasets were incorporated into a dynamic BIM environment for visualizing real-time sensor data and associated bridge behavior [7], [8]. Specifically, this can be used to help identify anomalies in the data (due to e.g.…”

“…The case study considered two railway bridges in Staffordshire, UK which have pervasive sensor networks installed at the time of construction. The study involves an interdisciplinary collaboration between the Cambridge Centre for Smart Infrastructure and Construction (CSIC) and the Alan Turing Institute (ATI), combining the expertise of bridge monitoring [4], finite element modeling [5], [6], building information modeling (BIM) [7], [8] and statistical modeling [9], [10], with the end objective of creating a working digital twin for the instrumented Staffordshire bridges.…”

Structural Performance Monitoring Using a Dynamic Data-Driven BIM Environment

“…Because the requirements to adopt BIM during the operational phase are distinctively different than during design and construction, the existing BIM software solutions are not suitable to implement BIM during the operational phase. For example, they lack capabilities to easily compare as-designed and as-built BIM models; to record and use time-series data, such as data related to performance and degradation; and to allow dynamic visualisation of data (Davila Delgado et al 2017;Gerrish et al 2015;Mousa et al 2016).…”