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Digital twins for medium span bridges – pilot project bridge Schwindegg – part 2: Asset Administration Shell The term ′digital twin′ is becoming increasingly popular in German‐speaking countries for the digital management and condition monitoring of bridges. Although standardised developments for the use of digital twins have already been initiated in industry and medicine, the first prototypes are currently being implemented in the construction industry. The digital images are typically operated in online environments that are proprietary to the project and have limited reusability. The article investigates the integration of scaling into Building Information Modelling models, which is reaching its limits due to the real‐time capability. It places existing definitions of the digital twin of the industry in the context of the construction industry. The implementation of the Isenbridge in Schwindegg as an Industry 4.0 Asset Administration Shell (AAS) is presented, building on Part 1 of this contribution. We show that an industrial, data‐driven digital twin can also be implemented technically and semantically for engineering structures. The article also presents the future challenges for evaluation and control mechanisms still to be developed for the structure. We also show a possible visualisation. The goal is to develop a syntax for the AAS' communication. [ABSTRACT FROM AUTHOR]

Digital twins for medium span bridges – pilot project bridge Schwindegg – part 1: sensor equipment In the coming years, bridge maintenance will be an essential task for infrastructure maintenance. Particularly for small and medium span bridges in the municipal road network, there are often no personnel available for structural inspection and maintenance. It will therefore be necessary in the future to develop concepts for semi‐automated bridge inspection. If information is available about the actions and resistances of the structures, the measured values contain important information about the condition of the structure. A concept for this could be digital twins. Intelligent maintenance management can be implemented on the basis of digital twins and the information they contain. Our two‐part article presents the concept of digital twins for medium span bridges. In the first part, the sensor equipment of a single span prestressed concrete frame bridge is presented for monitoring from a digital twin perspective. [ABSTRACT FROM AUTHOR]

Digital twins are virtual replicas of real physical entities in computers. They can be considered as abstract digital models of data and behavior for objects of interest. Nevertheless, they are not perfectly consistent with conventional data or simulation models because they achieve prediction and optimization by simulating the abstract digital model of a particular system. To maintain the characteristics of digital twins in the virtual space, digital simulation models that continue to update, change, and evolve according to continuous changes of corresponding physical factors must be used. Owing to the various advantages of digital twin technology, digital twins have gained more attention. However, the method to create digital twins is still unclear. Additionally, the availability and sufficiency of information on physical entities to which digital twins will be applied must be considered, and a model suitable for their application must be designed. Therefore, multimedia knowledge-based bridge health monitoring using digital twins is proposed herein. It synchronizes real and virtual spaces to reflect the reality based on various data collected using sensors of real systems. In this study, various situations of virtual bridge twins in a facility management area are simulated to provide digital services to ensure bridge health. This digital bridge health service analyzes situations based on a small amount of data collected from a bridge, predicts the optimal time point for maintenance, and then applies it to the real world. Hence, maintenance costs can be reduced and the bridge's lifespan extended. [ABSTRACT FROM AUTHOR]