Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
iSHM - Intelligent structural health monitoring coupled with BIM
Today, the planning and operation of new structures is fully integrated in the digital process chain and supported by Building Information Modelling (BIM), forming the basis of a digital twin. Beside the planning phase, where the digital twin is of great help for not only identifying collisions and having a central place with all structures, systems and components (SSC) and their attributes, the maintenance and Structural Health Monitoring (SHM) have been revolutionized with new generations of sensors and big data processing. Together with sensor data predictive maintenance programs can be developed and enhanced to early identify deviations from normal operation and avoid costly repairs due to damages. The sensor data can easily be integrated and displayed in an augmented or virtual reality environment to support the position identification inside the BIM model and train people. Structural health monitoring by itself is already established and a very useful tool to identify potential damages and visualize the collected data. Thanks to the common standards, the BIM technology is now also accepted and widely used. Nevertheless, the information inside a BIM model is conceived to be a static information and yet, there are no solutions to easily and permanently update the BIM model based on transient sensor data. Furthermore, the data collected by sensors to feed structural health monitoring usually require some post-processing and engineering interpretation to provide a meaningful picture of the SSCs and to draw conclusions by decision makers. Also there needs to be a consistent and structured data management to exploit the data and build a digital twin. The focus of the new approach is mainly on structures, as those are still not monitored on a regular basis and require a calibrated numerical model to reflect the real behavior. But it allows also the continues monitoring of arbitrary non-structural elements with importance for the building operation. All together it allows to study the dynamic performance by ...
iSHM - Intelligent structural health monitoring coupled with BIM
Today, the planning and operation of new structures is fully integrated in the digital process chain and supported by Building Information Modelling (BIM), forming the basis of a digital twin. Beside the planning phase, where the digital twin is of great help for not only identifying collisions and having a central place with all structures, systems and components (SSC) and their attributes, the maintenance and Structural Health Monitoring (SHM) have been revolutionized with new generations of sensors and big data processing. Together with sensor data predictive maintenance programs can be developed and enhanced to early identify deviations from normal operation and avoid costly repairs due to damages. The sensor data can easily be integrated and displayed in an augmented or virtual reality environment to support the position identification inside the BIM model and train people. Structural health monitoring by itself is already established and a very useful tool to identify potential damages and visualize the collected data. Thanks to the common standards, the BIM technology is now also accepted and widely used. Nevertheless, the information inside a BIM model is conceived to be a static information and yet, there are no solutions to easily and permanently update the BIM model based on transient sensor data. Furthermore, the data collected by sensors to feed structural health monitoring usually require some post-processing and engineering interpretation to provide a meaningful picture of the SSCs and to draw conclusions by decision makers. Also there needs to be a consistent and structured data management to exploit the data and build a digital twin. The focus of the new approach is mainly on structures, as those are still not monitored on a regular basis and require a calibrated numerical model to reflect the real behavior. But it allows also the continues monitoring of arbitrary non-structural elements with importance for the building operation. All together it allows to study the dynamic performance by ...
iSHM - Intelligent structural health monitoring coupled with BIM
Renault, Philippe L. A. (Autor:in) / Radisic, Marko (Autor:in) / Michel, Philipp (Autor:in) / Butenweg, Christoph (Prof. Dr.-Ing.) (Autor:in)
04.02.2025
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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