DAMAGE LOCALIZATION SYSTEM FOR SINGLE SPAN SINGLE SPAN BRIDGE STRUCTURE
Bridge inspections are currently still carried out manually and visually observed, making it difficult to locate bridge damage and inefficient in terms of time. This damage if left unchecked can get worse so that it has the potential to cause the bridge to collapse so that it can cause casualties...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/56882 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Bridge inspections are currently still carried out manually and visually observed,
making it difficult to locate bridge damage and inefficient in terms of time. This
damage if left unchecked can get worse so that it has the potential to cause the
bridge to collapse so that it can cause casualties. To solve this problem we need a
system that is able to detect the location of damage to the bridge automatically
and inform the user. The system can predict the location of the damage by
observing the dynamic response of the bridge structure in the form of the natural
frequency of the bridge generated by passing trucks. The natural frequency
response of the bridge is then further processed using machine learning techniques
so that the system is able to predict the location of the bridge damage. The dataset
used to train the machine learning model was collected through a laboratory-scale
tesbed bridge experiment. Prediction of the location of the damage is divided into
8 segments of the bridge surface area. The results of testing the machine learning
model have been able to estimate the location of the bridge damage. |
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