Signal Processing of GPR Data for Road Surveys

Ciampoli, Luca Bianchini; Tosti, Fabio; Economou, N.; Benedetto, Francesco

doi:10.3390/geosciences9020096

Cited by 89 publications

(39 citation statements)

References 65 publications

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“…Fig. 1 shows the grading curves of the samples, obtained following dedicated sieving standards [30]. The two above conditions are represented by the grading curves GC1 and GC2, respectively.…”

Section: Inspected Materialsmentioning

confidence: 99%

Railway Ballast Monitoring by GPR: A Test Site Investigation

Ciampoli¹,

Calvi²,

D’Amico³

2019

Preprint

Self Cite

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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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Section: Inspected Materialsmentioning

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

“…Time to depth conversion was limited to a depth of 3.2 m. The topographic correction was preserved in the model despite an extremely small incline (see Figure 7). In relation to data processing, more details can be found in [5,41]. Table 5 show the data processing using the GPR-TPS model.…”

Section: Real Urban Site Imentioning

confidence: 99%

Application of Kinematic GPR-TPS Model with High 3D Georeference Accuracy for Underground Utility Infrastructure Mapping: A Case Study from Urban Sites in Celje, Slovenia

et al. 2020

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This paper describes in detail the applicability of the developed ground-penetrating radar (GPR) model with a kinematic GPR and self-tracking (robotic) terrestrial positioning system (TPS) surveying setup (GPR-TPS model) for the acquisition, processing and visualisation of underground utility infrastructure (UUI) in a real urban environment. The integration of GPR with TPS can significantly improve the accuracy of UUI positioning in a real urban environment by means of efficient control of GPR trajectories. Two areas in the urban part of Celje in Slovenia were chosen. The accuracy of the kinematic GPR-TPS model was analysed by comparing the three-dimensional (3D) position of UUI given as reference values (true 3D position) from the officially consolidated cadastre of utility infrastructure in the Republic of Slovenia and those obtained by the GPR-TPS method. To determine the reference 3D position of the GPR antenna and UUI, the same positional and height geodetic network was used. Small unmanned aerial vehicles (UAV) were used for recording to provide a better spatial display of the results of UUI obtained with the GPR-TPS method. As demonstrated by the results, the kinematic GPR-TPS model for data acquisition can achieve an accuracy of fewer than 15 centimetres in a real urban environment.

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“…The raw data have been analysed in both time and frequency domains, following the application of a multi-stage processing procedure [31], composed of:…”

Section: Data Processingmentioning

confidence: 99%

Railway Ballast Monitoring by GPR: A Test-Site Investigation

Ciampoli¹,

Calvi²,

D’Amico³

2019

Remote Sensing

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. 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 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 of implementation in asset management systems.

show abstract

Signal Processing of GPR Data for Road Surveys

Cited by 89 publications

References 65 publications

Railway Ballast Monitoring by GPR: A Test Site Investigation

Railway Ballast Monitoring by GPR: A Test Site Investigation

Application of Kinematic GPR-TPS Model with High 3D Georeference Accuracy for Underground Utility Infrastructure Mapping: A Case Study from Urban Sites in Celje, Slovenia

Railway Ballast Monitoring by GPR: A Test-Site Investigation

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