DOI : https://doi.org/10.18517/ijaseit.10.1.9463

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

Muhammad Riyansyah (1), Pratama Budi Wijayanto (2), Bambang Riyanto Trilaksono (3), Seno Adi Putra (4), Dina Shona Laila (5)
(1) Faculty of Civil and Environmental Engineering, Instiute of Technology Bandung, Jalan Ganesha 10, Bandung, 40132, Indonesia
(2) Faculty of Civil and Environmental Engineering, Instiute of Technology Bandung, Jalan Ganesha 10, Bandung, 40132, Indonesia
(3) School of Electrical and Informatics Engineering, Instiute of Technology Bandung, Jalan Ganesha 10, Bandung, 40132, Indonesia
(4) Faculty of Industrial Engineering, Telkom University, Jl. Terusan Buah Batu No.01, Bandung, 40257, Indonesia
(5) School of Mechanical, Aerospace and Automotive Engineering, Coventry University, Priory Street, Coventry CV1 2TL, UK
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How to cite (IJASEIT) :
Riyansyah, Muhammad, et al. “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, Feb. 2020, pp. 325-30, doi:10.18517/ijaseit.10.1.9463.
Citation Format :
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.

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