Improved axle detection for bridge weigh-in-motion systems using fiber optic sensors

Myra Lydon; D. Robinson; Su Taylor; G. Amato; Eugene J O Brien; Nasim Uddin

doi:10.1007/s13349-017-0229-4

Improved axle detection for bridge weigh-in-motion systems using fiber optic sensors

Myra Lydon, D. Robinson, Su Taylor, G. Amato, Eugene J O Brien, Nasim Uddin

School of Natural and Built Environment

Research output: Contribution to journal › Article › peer-review

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Abstract

Bridge weigh-in-motion (B-WIM) systems provide a non-destructive means of gathering traffic loading information by using an existing bridge as a weighing scale to determine the weights of vehicles passing over. In this research critical locations for sensors for the next-generation B-WIM were determined from a full 3D explicit finite element analysis (FEA) model. Although fiber optic sensors (FOS) have become increasingly popular in SHM systems there are currently no commercially available fiber optic WIM systems available. The FEA in this research facilitated the development of the first ever full fiber optic B-WIM and its potential has been demonstrated with the site installation of this system. The system combined nothing-on-the-road axle detection and alternative methods of measuring strain at the supports. The system was installed on a 20-m span beam and slab RC bridge in Northern Ireland and the results presented in this paper confirm the suitability of FOS in providing the clear defined peaks required for accurate axle detection in B-WIM.

Original language	English
Pages (from-to)	325-332
Journal	Journal of Civil Structural Health Monitoring
Volume	7
Issue number	3
Early online date	12 Jul 2017
DOIs	https://doi.org/10.1007/s13349-017-0229-4
Publication status	Early online date - 12 Jul 2017

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10.1007/s13349-017-0229-4Licence: CC BY

Improved axle detection for bridge weigh-in-motion systems using fiber optic sensors
The Author(s) 2017.This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 1.16 MBLicence: CC BY

Su Taylor
- S.E.Taylorqub.acuk
- School of Natural and Built Environment - Professor
- Environmental Change and Resilience
Person: Academic

Cite this

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title = "Improved axle detection for bridge weigh-in-motion systems using fiber optic sensors",

abstract = "Bridge weigh-in-motion (B-WIM) systems provide a non-destructive means of gathering traffic loading information by using an existing bridge as a weighing scale to determine the weights of vehicles passing over. In this research critical locations for sensors for the next-generation B-WIM were determined from a full 3D explicit finite element analysis (FEA) model. Although fiber optic sensors (FOS) have become increasingly popular in SHM systems there are currently no commercially available fiber optic WIM systems available. The FEA in this research facilitated the development of the first ever full fiber optic B-WIM and its potential has been demonstrated with the site installation of this system. The system combined nothing-on-the-road axle detection and alternative methods of measuring strain at the supports. The system was installed on a 20-m span beam and slab RC bridge in Northern Ireland and the results presented in this paper confirm the suitability of FOS in providing the clear defined peaks required for accurate axle detection in B-WIM.",

author = "Myra Lydon and D. Robinson and Su Taylor and G. Amato and Brien, {Eugene J O} and Nasim Uddin",

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T1 - Improved axle detection for bridge weigh-in-motion systems using fiber optic sensors

AU - Lydon, Myra

AU - Robinson, D.

AU - Taylor, Su

AU - Amato, G.

AU - Brien, Eugene J O

AU - Uddin, Nasim

PY - 2017/7/12

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AB - Bridge weigh-in-motion (B-WIM) systems provide a non-destructive means of gathering traffic loading information by using an existing bridge as a weighing scale to determine the weights of vehicles passing over. In this research critical locations for sensors for the next-generation B-WIM were determined from a full 3D explicit finite element analysis (FEA) model. Although fiber optic sensors (FOS) have become increasingly popular in SHM systems there are currently no commercially available fiber optic WIM systems available. The FEA in this research facilitated the development of the first ever full fiber optic B-WIM and its potential has been demonstrated with the site installation of this system. The system combined nothing-on-the-road axle detection and alternative methods of measuring strain at the supports. The system was installed on a 20-m span beam and slab RC bridge in Northern Ireland and the results presented in this paper confirm the suitability of FOS in providing the clear defined peaks required for accurate axle detection in B-WIM.

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Improved axle detection for bridge weigh-in-motion systems using fiber optic sensors

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