A Computer‐Aided Model for the Simulation of Railway Ballast by Random Sequential Adsorption Process

Benedetto, Andrea; Ciampoli, Luca Bianchini; Brancadoro, Maria Giulia; Alani, Amir M.; Tosti, Fabio

doi:10.1111/mice.12342

Cited by 20 publications

(24 citation statements)

References 57 publications

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“…The assessment of the geometry of the track-bed and its overall stability have been first a matter of research [10,19], whereas the focus has progressively moved towards the time-domain [14][15][16] and the frequency-domain [12,14,[20][21][22][23][24] analyses of the effects of fouling and fragmentation of ballast on the signal. In addition to this, new avenues in assessing quality of ballast aggregates have been recently explored by means of simulation-based approaches [25] and numerical models [26]. To the best of the authors' knowledge, although crucial pieces of information were derived from these studies, only few laboratory and test-site activities are actually reported in literature.…”

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confidence: 99%

Railway Ballast Monitoring by GPR: A Test Site Investigation

Ciampoli¹,

Calvi²,

D’Amico³

2019

Preprint

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Effective maintenance of railways requires a comprehensive assessment of the actual condition of the construction materials involved. In this regard, Ground-Penetrating Radar (GPR) stands as a viable alternative to the invasive and time-consuming traditional techniques for the inspection of these infrastructures. This work reports the experimental activities carried out on a test-site area within a railway depot in Rome, Italy. To this purpose, a 30 m-long railway section was divided into 10 sub-sections reproducing different various physical and structural conditions of the track-bed. In more detail, combinations of varying scenarios of fragmentation and fouling of the ballast were reproduced. The set-up was then investigated using different multi-frequency GPR horn antenna systems. The effects of the different physical conditions of ballast on the electromagnetic response of the material were analysed for each scenario using time-and frequencydomain signal processing techniques. Parallel to this, modelling was provided to estimate fouling content. Interpretation of results has proven the viability of the GPR method in detecting signs of decay at the network level, thereby proving this technique to be worthy of implementation in asset management systems.

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mentioning

confidence: 99%

Railway Ballast Monitoring by GPR: A Test Site Investigation

Ciampoli¹,

Calvi²,

D’Amico³

2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The assessment of the geometry of the track-bed and its overall stability have been firstly investigated [10,19], whereas the focus has progressively shifted towards the time-domain [14][15][16] and frequencydomain [12,14,[20][21][22][23][24] analysis of the effects of fouling and fragmentation of the track-bed on the signal. In addition to this, new avenues in assessing quality of ballast aggregates have been recently explored by means of simulation-based [25] and numerical models [26].…”

Section: Ground-penetrating Radar For Ballast Assessmentmentioning

confidence: 99%

Railway Ballast Monitoring by GPR: A Test Site Investigation

Ciampoli¹,

Calvi²,

D’Amico³

2019

Preprint

Self Cite

View full text Add to dashboard Cite

Effective maintenance of railways requires a comprehensive assessment of the actual condition of the construction materials involved. In this regard, Ground-Penetrating Radar (GPR) stands as a viable alternative to the invasive and time-consuming traditional techniques for the inspection of these infrastructures. This work reports the experimental activities carried out on a test-site area within a railway depot in Rome, Italy. Specifically, a 30 m-long railway section was divided into 10 sub-sections reproducing different various physical and structural conditions of the track-bed. In more detail, combinations of varying scenarios of fragmentation and fouling of the ballast were reproduced. The set-up was then investigated using different multi-frequency GPR horn antenna systems. The effects of the different physical conditions of ballast on the electromagnetic response of the material were analysed for each scenario using time- and frequency-domain signal processing techniques. Parallel to this, modelling was provided to estimate fouling content. Interpretation of results has proven the viability of the GPR method in detecting signs of decay at the network level, thereby proving this technique to be worthy for implementation in asset management systems.

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“…In this context, various sensors and non-destructive testing (NDT) techniques are available for the assessment and the health monitoring of bridges [5]. Amongst these, ground penetrating radar (GPR) [6][7][8], accelerometers [9], laser scanner [10][11], strain gauges [12], wireless network systems [13], ground-based interferometers [14], global position system (GPS) and levelling [15][16], are applied to transport infrastructures. Nevertheless, on-site sensors can be costly and cannot be installed on all the bridges at the network level, due to economic constraints.…”

Section: Introductionmentioning

confidence: 99%

Bridge monitoring and assessment by high-resolution satellite remote sensing technologies

Gagliardi

Ciampoli

D’Amico

et al. 2020

SPIE Future Sensing Technologies

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Satellite Remote-Sensing has been successfully applied for detection of natural-hazards, (e.g. seismic events, landslides and subsidence) and transport infrastructure monitoring over the last few years. Persistent Scatterer SAR Interferometry (PSI), is a satellite remote sensing technique able to measure ground displacements over the time. More specifically, the PSI technique is an evolution of the DInSAR technique and it is based on a statistical multi-temporal differential interferogram analysis. This allows to determine coherent stable-pixels over a data-stack of SAR images, in order to identify potential ground displacements. This study aims at demonstrating the potential of the PSI technique as an innovative health-monitoring methodology for the structural integrity of bridges. For this purpose, X-Band COSMO-SkyMed images provided by the Italian Space Agency (ASI) were acquired and processed in order to detect structural displacements of the Rochester Bridge in Rochester, UK. Outcomes of this investigation outlined the presence of various PSs over the inspected bridge, which were proven useful to achieve a more comprehensive monitoring methodology and to assess the structural integrity of the bridge. This research paves the way for the development of a novel interpretation approach relying on the integration between remote-sensing technologies and on-site surveys to improve upon current maintenance strategies for bridges and transport assets.

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A Computer‐Aided Model for the Simulation of Railway Ballast by Random Sequential Adsorption Process

Cited by 20 publications

References 57 publications

Railway Ballast Monitoring by GPR: A Test Site Investigation

Railway Ballast Monitoring by GPR: A Test Site Investigation

Railway Ballast Monitoring by GPR: A Test Site Investigation

Bridge monitoring and assessment by high-resolution satellite remote sensing technologies

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