Cite Article

Real Time Bridge Dynamic Response: Bridge Condition Assessment and Early Warning System

Choose citation format

BibTeX

@article{IJASEIT9463,
   author = {Muhammad Riyansyah and Pratama Budi Wijayanto and Bambang Riyanto Trilaksono and Seno Adi Putra and Dina Shona Laila},
   title = {Real Time Bridge Dynamic Response: Bridge Condition Assessment and Early Warning System},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {1},
   year = {2020},
   pages = {325--330},
   keywords = {structural health monitoring; bridge condition assessment; bridge load rating; structural dynamics; fast fourier transfrom},
   abstract = {Present study investigating the use of wireless sensor networks (WSNs) in the assessment of bridge condition as well as early warning system. The WSNs are used to measure the acceleration occurred on the bridge and the mode shape of the bridge as the excitation loads passing through the bridge. Fast Fourier Transform (FFT) is applied to transform the measured acceleration to get the frequency of the bridge dynamic response. Numerical integration is applied to determined the acceleration to get the displacement of the bridge dynamic response.  Implementing structural dynamics equation, the effective stiffness of the bridge can be determined using the frequency. The effective stiffness and the bridge dynamic response are then used to obtained the bridge condition and load ratings. A scaled model of steel truss bridge and miniature truck with various loads were used to simulate the use of WSNs in bridge assessment, which were also used to validate the finite element model. The finite element model was then used to simulate various scenarios, including the scenarios in which the bridge elements had various level of damages. The behaviors of bridge with various level of damages can be used to identify the location and the level of damages in the bridge and were found to be useful as early warning system for bridges condition and load ratings.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9463},
   doi = {10.18517/ijaseit.10.1.9463}
}

EndNote

%A Riyansyah, Muhammad
%A Wijayanto, Pratama Budi
%A Trilaksono, Bambang Riyanto
%A Putra, Seno Adi
%A Laila, Dina Shona
%D 2020
%T Real Time Bridge Dynamic Response: Bridge Condition Assessment and Early Warning System
%B 2020
%9 structural health monitoring; bridge condition assessment; bridge load rating; structural dynamics; fast fourier transfrom
%! Real Time Bridge Dynamic Response: Bridge Condition Assessment and Early Warning System
%K structural health monitoring; bridge condition assessment; bridge load rating; structural dynamics; fast fourier transfrom
%X Present study investigating the use of wireless sensor networks (WSNs) in the assessment of bridge condition as well as early warning system. The WSNs are used to measure the acceleration occurred on the bridge and the mode shape of the bridge as the excitation loads passing through the bridge. Fast Fourier Transform (FFT) is applied to transform the measured acceleration to get the frequency of the bridge dynamic response. Numerical integration is applied to determined the acceleration to get the displacement of the bridge dynamic response.  Implementing structural dynamics equation, the effective stiffness of the bridge can be determined using the frequency. The effective stiffness and the bridge dynamic response are then used to obtained the bridge condition and load ratings. A scaled model of steel truss bridge and miniature truck with various loads were used to simulate the use of WSNs in bridge assessment, which were also used to validate the finite element model. The finite element model was then used to simulate various scenarios, including the scenarios in which the bridge elements had various level of damages. The behaviors of bridge with various level of damages can be used to identify the location and the level of damages in the bridge and were found to be useful as early warning system for bridges condition and load ratings.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9463
%R doi:10.18517/ijaseit.10.1.9463
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 1
%@ 2088-5334

IEEE

Muhammad Riyansyah,Pratama Budi Wijayanto,Bambang Riyanto Trilaksono,Seno Adi Putra and Dina Shona Laila,"Real Time Bridge Dynamic Response: Bridge Condition Assessment and Early Warning System," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 1, pp. 325-330, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.1.9463.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Riyansyah, Muhammad
AU  - Wijayanto, Pratama Budi
AU  - Trilaksono, Bambang Riyanto
AU  - Putra, Seno Adi
AU  - Laila, Dina Shona
PY  - 2020
TI  - Real Time Bridge Dynamic Response: Bridge Condition Assessment and Early Warning System
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 1
Y2  - 2020
SP  - 325
EP  - 330
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - structural health monitoring; bridge condition assessment; bridge load rating; structural dynamics; fast fourier transfrom
N2  - Present study investigating the use of wireless sensor networks (WSNs) in the assessment of bridge condition as well as early warning system. The WSNs are used to measure the acceleration occurred on the bridge and the mode shape of the bridge as the excitation loads passing through the bridge. Fast Fourier Transform (FFT) is applied to transform the measured acceleration to get the frequency of the bridge dynamic response. Numerical integration is applied to determined the acceleration to get the displacement of the bridge dynamic response.  Implementing structural dynamics equation, the effective stiffness of the bridge can be determined using the frequency. The effective stiffness and the bridge dynamic response are then used to obtained the bridge condition and load ratings. A scaled model of steel truss bridge and miniature truck with various loads were used to simulate the use of WSNs in bridge assessment, which were also used to validate the finite element model. The finite element model was then used to simulate various scenarios, including the scenarios in which the bridge elements had various level of damages. The behaviors of bridge with various level of damages can be used to identify the location and the level of damages in the bridge and were found to be useful as early warning system for bridges condition and load ratings.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9463
DO  - 10.18517/ijaseit.10.1.9463

RefWorks

RT Journal Article
ID 9463
A1 Riyansyah, Muhammad
A1 Wijayanto, Pratama Budi
A1 Trilaksono, Bambang Riyanto
A1 Putra, Seno Adi
A1 Laila, Dina Shona
T1 Real Time Bridge Dynamic Response: Bridge Condition Assessment and Early Warning System
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 1
YR 2020
SP 325
OP 330
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 structural health monitoring; bridge condition assessment; bridge load rating; structural dynamics; fast fourier transfrom
AB Present study investigating the use of wireless sensor networks (WSNs) in the assessment of bridge condition as well as early warning system. The WSNs are used to measure the acceleration occurred on the bridge and the mode shape of the bridge as the excitation loads passing through the bridge. Fast Fourier Transform (FFT) is applied to transform the measured acceleration to get the frequency of the bridge dynamic response. Numerical integration is applied to determined the acceleration to get the displacement of the bridge dynamic response.  Implementing structural dynamics equation, the effective stiffness of the bridge can be determined using the frequency. The effective stiffness and the bridge dynamic response are then used to obtained the bridge condition and load ratings. A scaled model of steel truss bridge and miniature truck with various loads were used to simulate the use of WSNs in bridge assessment, which were also used to validate the finite element model. The finite element model was then used to simulate various scenarios, including the scenarios in which the bridge elements had various level of damages. The behaviors of bridge with various level of damages can be used to identify the location and the level of damages in the bridge and were found to be useful as early warning system for bridges condition and load ratings.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9463
DO  - 10.18517/ijaseit.10.1.9463