STUDY OF BRIDGE STRUCTURAL DEFORMATION WITH CONTINUOUS ROBOTIC MEASUREMENTS OF TOTAL STATION(CASE STUDY: PURBALEUNYI KM 149 TOLL EXIT BRIDGE)

• Main Author: Rizki Pratama, Renando
• Format: Theses
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/80249
• Institution: Institut Teknologi Bandung

This research focuses on observing the structural deformation of the KM 149 toll exit access bridge on the Purbaleunyi Toll Road. Observations of the deformation of the bridge structure were carried out because previously there were bridge pillars that had cracks and had been repaired. Observations of deformation of the bridge structure were carried out in the operational phase in connection with the opening of access to the bridge on July 25 2023 with limited access which can only be passed by small vehicles with a height of less than 2.1 meters so that continuous and longterm observation of the deformation of the bridge structure is required. Robotic Total Station (RTS) was chosen as a suitable instrument for this research because of its ability to carry out deformation measurements continuously, automatically, and is able to cover targets under the bridge structure. RTS has the advantage of minimizing systematic errors and blunders. One of the significant contributors to systematic error in continuous RTS measurements is the influence of atmospheric effects, which is proven in this study. All RTS measurement data have daily fluctuations which are thought to be caused by the influence of atmospheric conditions. Therefore, this research involves long-term measurements of bridge deformation for 62 days with continuous data intervals of 10 minutes using RTS and Automatic Weather Station (AWS) for correction of atmospheric conditions as one of the significant contributors to systematic errors. The hope is that using an atmospheric correction model can minimize daily fluctuations in data so that deformation can be detected using data, not just from data trends. The results of the deformation analysis show movement trends at all observation points. However, corrected total station observations show that the corrected standard deviation value is higher than the standard deviation value before correction so that atmospheric correction cannot be applied to the data. Thus, this research aims to contribute to the development of methods for monitoring deformation of bridge structures, especially using RTS instruments with a high level of accuracy