Bridge weigh-in-motion using fibre optic sensors

  title={Bridge weigh-in-motion using fibre optic sensors},
  author={M. Lydon and Su Taylor and Ciaran Doherty and D. Robinson and E. O'brien and A. Žnidari{\vc}},
Bridge weigh-in-motion systems were introduced in the 1970s as a structural health monitoring tool for road bridges. They help bridge operators determine the cause of induced strain in bridges and collect statistics on vehicle weight, class and frequency. There have been over 3000 installations in 25 countries worldwide, which has led to vast improvements in data post-processing. However, existing systems are based on electrical resistance strain gauges, which can be prohibitive in achieving… Expand
6 Citations
Study on bridge weigh in motion (BWIM) system for measuring the vehicle parameters based on strain measurement using FBG sensors
Abstract A Weigh in Motion (WIM) system is proposed, employing two fiber Bragg grating (FBG) sensors to evaluate the strain at a point on a prototype bridge due to a moving vehicle. The FBG's areExpand
Vehicle-Assisted Techniques for Health Monitoring of Bridges
A review is conducted on conventional vehicle-based health monitoring methods used for bridges, including alleviating the downsides of each approach to disentangle the complexities, and adopting intelligent and autonomous vehicle-assisted methods for health monitoring of bridges. Expand
Bridge Damage Detection Approach Using a Roving Camera Technique
A roving camera technique is proposed to capture a complete derivation of the response of a laboratory model bridge under live loading, in order to identify bridge damage, and two methods are used to assess the magnitude of the change in global displacement under changing boundary conditions in the laboratory bridge model. Expand
Cost-effective load measurement system for health monitoring using long-period grating as an edge filter
Abstract A low-cost real time load measurement system employing fiber Bragg grating as a strain sensor and long-period grating as an edge filter for structural health monitoring is being reported inExpand
Development of a time-synchronised multi-input computer vision system for structural monitoring utilising deep learning for vehicle identification
The research presented in this thesis details the development of an accurate, time synchronised multiple camera solution for the monitoring of bridge displacements that has been validated for accuracy in a number of different laboratory and field trials and can provide the basis of a total system for bridge displacement monitoring. Expand
Full-scale testing and numerical analysis of a precast fibre reinforced self-compacting concrete slab pre-stressed with basalt fibre reinforced polymer bars
Abstract Steel-free pre-stressed reinforced concrete may be used in aggressive environments to increase the durability of structural elements and to limit the carbon footprint by replacing steel withExpand


Recent developments in bridge weigh in motion (B-WIM)
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 enableExpand
Development of a Bridge Weigh-in-Motion Sensor: Performance Comparison Using Fiber Optic and Electric Resistance Strain Sensor Systems
This paper addresses the problems of effective in situ measurement of the real-time strain for bridge weigh in motion in reinforced concrete bridge structures through the use of optical fiber sensorExpand
On the use of bridge weigh–in–motion for overweight truck enforcement
Bridge weigh-in-motion (B-WIM) is a method by which the axle weights of a vehicle travelling at full highway speed can be determined using a bridge instrumented with sensors. This paper looks at theExpand
Weigh-In-Motion System Using Instrumented Bridges
  • F. Moses
  • Engineering, Computer Science
  • 1979
A weight prediction algorithm is derived herein that filters out the dynamic components of bridge response and obtains the equivalent static axle weights by a least-square error minimization. Expand
Bridge weigh-in-motion (BWIM), a system that uses strain sensors to calculate the weights of trucks passing on bridges overhead, requires accurate axle location and speed information for effectiveExpand
Wavelet domain analysis for identification of vehicle axles from bridge measurements
Bridge weigh-in-motion (B-WIM) is a process by which the axle and gross vehicle weights of vehicles travelling at highway speeds can be determined from instrumented bridges. The traditional method ofExpand
Fiber Optic Sensors for Bridge Monitoring
An overview of the intensity modulated and spectrometric fiber optic sensors and techniques to assess the condition of existing structures in order to enhance the durability of the new bridges, increasing lifetime and reliability and decreasing maintenance activities is provided. Expand
Comparison of two independently developed bridge weigh–in–motion systems
An experiment is described in which two independently developed bridge weigh–in–motion (WIM) systems are tested and compared, both for accuracy and durability. The systems, an Irish prototype stillExpand
A general solution to the identification of moving vehicle forces on a bridge
Bridge weigh-in-motion systems measure bridge strain caused by the passing of a truck to estimate static axle weights. For this calculation, they commonly use a static algorithm that takes the bridgeExpand
Overview of 40 Bridge Structural Health Monitoring Projects
In the last 15 years, fiber optic sensing has become a useful and increasingly widely used tool for structural health monitoring of bridges and other civil structures. We have been fortunate toExpand