Piezoelectric-sensored sustainable pads for smart railway traffic and track state monitoring: Full-scale laboratory tests

Sol-Sánchez, M.; Castillo-Mingorance, J.M.; Moreno-Navarro, Fernando; Mattinzioli, T.; Rubio-Gámez, M.C.

doi:10.1016/j.conbuildmat.2021.124324

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…The described approach deals with a process that involves a multitude of different factors that affect the registration process. These factors belong to the following main groups of influence: (a) characteristics of the rolling stock [71][72][73][74]; (b) movement mode of the rolling stock [75][76][77][78]; (c) climatic conditions [79][80][81]; (d) length-and depth-wise characteristics of the rail track structure [29,[82][83][84][85]; (e) characteristics of the measurement equipment [86][87][88][89][90]; and (f) registration techniques [91][92][93][94][95][96][97][98][99].…”

Section: Measurement Analysis Resultsmentioning

confidence: 99%

Investigation of Dynamic Processes of Rolling Stock–Track Interaction: Experimental Realization

et al. 2023

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The dynamic process of the railway track–rolling stock interaction is characterized by time-dependent dynamics that are determined by both the varying characteristics of the interaction objects and the varying climatic conditions. This study investigated the effect of different groups of influence on the dynamic process, with a view towards the reduction of the cases of randomness during the registration of the process in experiments and an expansion of the understanding of the processes happening during the assessment of the registered data. The static nature of the rolling stock has been demonstrated to be not uniform and to influence the scattering of dynamic values under the variation of vertical and horizontal forces due to the characteristics of a rolling stock. The position of the rolling stock truck relative to the track axis during the movement of the rolling stock has been shown to enhance static non-uniformity. The results of the longitudinal force measurements under the three-point and Schlumpf methods have suggested that it is necessary to investigate the process of rail warping under the action of the rolling stock wheels. To enhance the output of the experiments, it is proposed to consider not only the stiffness of the basis of the oscillatory processes that imitate the physical process of oscillation of the system elements by means of the oscillation amplitude, but also the time of response to the oscillation process by using and assessing the triggering time rather than the frequencies of the oscillation processes.

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Section: Measurement Analysis Resultsmentioning

confidence: 99%

Investigation of Dynamic Processes of Rolling Stock–Track Interaction: Experimental Realization

et al. 2023

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“…-Increased connections with mobile devices through high-capacity telecommunication networks (5G, etc.) [8][9][10]; -Increased use of multimodal integration platforms in mobility-as-a-service mode [11,12]; -Growth of online commerce, with consequent stress on the logistics system and an increase in the number of delivery vehicles in cities [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Using Detailing Concept to Assess Railway Functional Safety

Bondarenko¹,

Campisi

Tesoriere

et al. 2022

Sustainability

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The ability to assess the risks of the functional safety of railway tracks allows harmonizing characteristics of track elements under certain operating conditions under certain maintenance for the efficient use of the track structure throughout its life cycle. The concept of detailing conditions of the interaction of the rolling stock and railway track was used for the productive solution of tasks of infrastructure functional safety assessment. The paper formed an approach to the analytical solution of determination problems of deformability parameters over time using the elastic waves theory. The formation method of interconnections between the technical and economic aspects of the operation of railway infrastructure was proposed. The criteria of deformability work and intensity of use were utilized for the effective use of the track structure through its life cycle. The results of calculations are presented to assess changes in the deformability behaviour of the track elements and structure when the force and speed parameters of the operating conditions change, as well as the algorithm of the method for estimating the operation deformability of the railway track. Thus, the proposed approach can be adapted to optimize objects by railway functional safety assessment at the stage of object operation simulation.

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“…Smart rail pads are a new concept that has only been researched and developed to a limited extent. Measurements from inside the rail pad can be obtained by the installation of instruments such as Micro-Electro-Mechanical System (MEMS) accelerometers (Milne et al 2016, Stenström et al 2019, piezoelectric sensors (Zhang et al 2018, Sol-Sánchez et al 2021a and fibre optics (Woschitz 2011, Zhang et al 2014. Operational parameters such as accelerations, vibrations, axle load, frequency and temperature can be measured using sensing instrumentation installed inside a rail pad and these measurements could enable condition monitoring of the track structure.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

“…The previous literature and research (Woschitz 2011, Zhang et al 2014, Zhang et al 2018, Sol-Sánchez et al 2021a on smart rail pads provided evidence that it is possible to produce a condition monitoring system by installing sensing instrumentation inside a track component such as a rail pad. To date, no smart rail pad has been created that incorporates both accelerometer and strain gauge technology.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Condition monitoring of train wheels using a cost-effective smart rail pad

Schalkwyk

Gräbe

2022

Eng. Res. Express

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This present paper focuses on the condition monitoring of train wheels utilizing an 3D printed rail pad that is embedded with widely available accelerometers and a strain gauge. This smart rail pad was used on a heavy haul railway line to monitor train wheels by identifying any wheel defects and measuring the respective wheel loads. A series of laboratory material tests were conducted on various 3D printing materials to identify the most suitable material for the smart rail pad. Dynamic and static loading tests were carried out to determine whether the 3D printed rail pads could withstand the typical forces exerted by a passing train. Field tests were done to determine the performance of the smart rail pads in operational conditions. Results indicated that the smart rail pads were able to identify 60 % of the wheel flats and were able to measure the wheel loads with an average percent error of 6 % by comparing it to the control measurements. In summary, the smart rail pads presented a good correlation between the measured wheel loads and the true values, while the identification of wheel flats was influenced by the low sampling rate of the system.

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Piezoelectric-sensored sustainable pads for smart railway traffic and track state monitoring: Full-scale laboratory tests

Cited by 9 publications

References 18 publications

Investigation of Dynamic Processes of Rolling Stock–Track Interaction: Experimental Realization

Investigation of Dynamic Processes of Rolling Stock–Track Interaction: Experimental Realization

Using Detailing Concept to Assess Railway Functional Safety

Condition monitoring of train wheels using a cost-effective smart rail pad

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