STUDY OF BRIDGE STRUCTURAL DEFORMATION WITH CONTINUOUS ROBOTIC MEASUREMENTS OF TOTAL STATION(CASE STUDY: PURBALEUNYI KM 149 TOLL EXIT BRIDGE)
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. Observatio...
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Main Author: | |
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Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/80249 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | 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 |
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