Recent Developments in Bridge Weigh in Motion (B-WIM)

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Title: Recent Developments in Bridge Weigh in Motion (B-WIM)
Authors: Lyndon, Myra
Taylor, Su E.
Robinson, Desmond
Mufti, A.
O'Brien, Eugene J.
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Date: Feb-2016
Abstract: Bridge Weigh in Motion (B-WIM) uses accurate sensing systems to transform an existing bridge into a mechanism to determine actual traffic loading. This information on traffic loading can enable efficient and economical management of transport networks and is becoming a valuable tool for bridge safety assessment. B-WIM can provide site specific traffic loading on deteriorating bridges, which can be used to determine if the reduced capacity is still sufficient to allow the structure to remain operational and minimise unnecessary replacement or rehabilitation costs and prevent disruption to traffic. There have been numerous reports on the accuracy classifications of existing B-WIM installations and some common issues have emerged. This paper details some of the recent developments in B-WIM which were aimed at overcoming these issues. A new system has been developed at Queens University Belfast using fibre optic sensors to provide accurate axle detection and improved accuracy overall. The results presented in this paper show that the fibre optic system provided much more accurate results than conventional WIM systems, as the FOS provide clearer signals at high scanning rates which require less filtering and less post processing. A major disadvantage of existing B-WIM systems is the inability to deal with more than one vehicle on the bridge at the same time; sensor strips have been proposed to overcome this issue. A bridge can be considered safe if the probability that load exceeds resistance is acceptably low, hence B-WIM information from advanced sensors can provide confidence in our ageing structures.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Springer
Copyright (published version): 2016 Springer
Keywords: Bridge weigh in motionWIMBridge WIMFiber opticSensorsBridgeLoadingAxle detection
DOI: 10.1007/s13349-015-0119-6
Language: en
Status of Item: Peer reviewed
Appears in Collections:Civil Engineering Research Collection

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