Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges

Vagnoli, Matteo; Remenyte‐Prescott, Rasa; Andrews, John

doi:10.1177/1475921717721137

Cited by 102 publications

(71 citation statements)

References 165 publications

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“…Health monitoring of railway bridges is gaining more and more interest in the management of railway assets, since most of the commuter networks date back many decades, and the requirement to increase speed and axle loads on existing lines poses new challenges to the maintenance of aged structures. Several kinds of instruments are proposed in the literature to measure bridge strains, accelerations, and displacements, and structural properties like natural frequencies, mode shapes, and modal parameters [1]. Some of the main ones to be mentioned are strain gauges and fiber optics, accelerometers, potentiometers, global positioning system (GPS) receivers, and vision systems for displacements.…”

Section: Introductionmentioning

confidence: 99%

“…Some of the main ones to be mentioned are strain gauges and fiber optics, accelerometers, potentiometers, global positioning system (GPS) receivers, and vision systems for displacements. These measures are then adopted to assess the health state of the bridge, either through model-based or data-driven methods [1]. The monitoring of railway bridges through sensors installed on the structure is economically viable in the case of the main bridges or modern high-speed lines [2,3], but it is not practicable for the large number of bridges of different ages and types that are present in the main ordinary railway lines.…”

Section: Introductionmentioning

confidence: 99%

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A Feasibility Study of the Drive-By Method for Damage Detection in Railway Bridges

2019

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Damage identification and localization in railway bridges is a widely studied topic. Strain, displacement, or acceleration sensors installed on the bridge structure are normally used to detect changes in the global behavior of the structure, whereas approaches like ultra-sonic testing, acoustic emission, and magnetic inspection are used to check a small portion of structure near localized damage. The aim of this paper is to explore another perspective for monitoring the structural status of railway bridges, i.e., to detect structural damage from the dynamic response of the train transiting the bridge. This approach can successfully be implemented in the case of resonant bridges, thanks to the high level of acceleration generated, but its application becomes more challenging when the excitation frequencies due to train passage do not excite the first mode of vibration of the bridge. The paper investigates the feasibility of the method in the latter case, through numerical simulations of the complete train-track-bridge system. Accelerations on axleboxes and bogies are processed through suitable algorithms to detect differences arising when the train crosses a defective bridge or a healthy one. The results outline the main operational parameters affecting the method, the best placement for sensors, and the best frequency range to be considered in the signal processing, also addressing the issues that are related to track irregularity. Good performance can be achieved in the case of short bridges, but a few practical issues must be tackled before the method could be tested in practice.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Feasibility Study of the Drive-By Method for Damage Detection in Railway Bridges

2019

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“…The PI is based on results from an updated and verified FE model and response of the real structure measured by strain gauges. One of the advantages of using the FE model updating method for monitoring of railway bridges is the ability to simulate a behavior of each element of the structure [3], e.g. selected stingers and its flangers.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Performance Indicator of Railway Bridges Using Updated Finite Element Model

Sokol

Márföldi

Venglár

et al. 2019

Strojnícky Časopis - Journal of Mechanical Engineering

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Structural health monitoring (SHM) can provide information needed to make important decisions regarding the maintenance of bridge structures. However, the data collected from monitoring needs to be first translated into actionable, quantitative or qualitative based characteristics, that indicate the condition of a bridge. This paper presents a process of evaluation of such performance indicator in case of a steel railway bridge using the updated FE model and in-situ measurements of strains on selected stringers and floorbeams.

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“…For example, Europe has an infrastructure of roughly 212 000 km of railway lines, which include 300 000 railway bridges [1]. For example, Europe has an infrastructure of roughly 212 000 km of railway lines, which include 300 000 railway bridges [1].…”

Section: Introductionmentioning

confidence: 99%

A damage detection study of a bridge using bypassing vehicles and computational intelligence

Hesser

Bamer

Markert

2019

Proc Appl Math and Mech

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Structural integrity is an ubiquitous topic in research and daily living. Conventional monitoring strategies follow a preventive maintenance plan or require permanent installation of sensors. These steps are time and cost-inefficient taking into account the high number of bridges to be monitored. In this study, a bridge structure is passively monitored using the acceleration signal of a bypassing vehicle. Thereby, the signal is measured on the vehicle. The health status of the bridge can be evaluated after each pass, which allows a continuous monitoring of the structure. A numerical model of a bridge and a bypassing car is carried out to prove the feasibility of this approach and to create a large database with different damage locations and vehicle velocities. Moreover, an artificial neural network is trained on that database to detect damaged bridge structures. The proposed method proves the feasibility of monitoring the structural integrity of bridges and supports conventional maintenance methods. Therefore, the combination of active and passive monitoring strategies paves the way to efficient and cheap infrastructure monitoring strategies.

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Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges

Cited by 102 publications

References 165 publications

A Feasibility Study of the Drive-By Method for Damage Detection in Railway Bridges

A Feasibility Study of the Drive-By Method for Damage Detection in Railway Bridges

Evaluation of Performance Indicator of Railway Bridges Using Updated Finite Element Model

A damage detection study of a bridge using bypassing vehicles and computational intelligence

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