PSI - Issue 64

Eshwar Kumar Ramasetti et al. / Procedia Structural Integrity 64 (2024) 557–564 Author name / Structural Integrity Procedia 00 (2019) 000 – 000

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2. Data Acquisition and Analysis The Nibelungen Bridge crossing the Rhine River located in the city of Worms, Germany was chosen as a demonstrator for extending the service life of structures by detecting potential damage at an early stage by using SHM, digital twin and AI methods, and recommending maintenance or repair measures. Therefore, an SHM system with digital sensors was installed. This bridge was Germany’s first cantilever prestressed concrete bridge, with a total length of 734 m and prestressed concrete parts with a main span of 114 m. The panoramic view of the bridge is depicted in the Fig.1 below.

Fig. 1. Panoramic view of the Nibelungen Bridge.

The SHM system consists of seven accelerometers installed at one-side under the bridge along the girder. The installation location of the sensors was chosen on the idea of investigating the errors from the sensor readings from the different parts of the bridge. The location of the sensors installed on the bridge is depicted in the Figure 2 below and the installation of monitoring system is explained in detail by Herrmann et al. (2024). In the current work, the acceleration data from the sensor location “SG” was used for the development of the neural network classifier.

Fig. 2. Overview of the monitoring system (location of the sensor installation).