PENGEMBANGAN LANJUT METODE PENGUKURAN DEFLEKSI JEMBATAN DENGAN METODE DIGITAL IMAGE CORRELATION DAN IMPLEMENTASINYA
The important of bridge as it connects between two mainland and one of infrastructure that could support local economics makes the monitoring of bridge condition is important. By the fact that bridge monitoring system which also known as Structural Health Monitoring System (SHMS) could be provide...
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Format: | Final Project |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/56213 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The important of bridge as it connects between two mainland and one of
infrastructure that could support local economics makes the monitoring of bridge condition
is important. By the fact that bridge monitoring system which also known as Structural
Health Monitoring System (SHMS) could be provided by monitoring its deflection,
measurement of bridge deflection should be held periodically. With 88,000 of Indonesian
bridge this also means that much number of instrument should be prepared and led to costly
measurement with conventional measurement. Conventional measurement is consist of
LVDT sensor, dial indicator and extensometer. However this conventional measurement is
expensive, complex installation and the mobility is very low. New method of measurement
to tackle the problem is developed. One of the new method is using Digital Image Correlation
method to monitoring the deflection of the bridge .
This research will develop and implement digital image correlation technique to
measure steel bridge deflection which will be passed by vehicle with total mass of 756 kg.
This technique then will be compared both with conventional measurement with LVDT
sensor and theoretical approach to determine correctedness of the result. This research
disclosed a fact that compared to LVDT sensor method has an root-mean-square-error of
0.25 mm and compared to theoretical approach has an root-mean-square-error of 0.22 mm.
This research also shows the development from the previous one, by decreasing the
percentage-error of measurement with the same set-up but different software algorithm. The
previous research shows percentage error of 1.1% while in this research shows 0.3%. |
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