Numerical parametric study to classify and estimate pavement characteristics using GPR and machine learning methods

1st International Data Science for Pavements Symposium, ETATS-UNIS, 

https://pavementdatascience.com/
https://hal.archives-ouvertes.fr/hal-03766504

A Preliminary Numerical Study to Compare the Physical Method and Machine Learning Methods Applied to GPR Data for Underground Utility Network Characterization

Remote Sensing, 14, 4, 17 p., doi: 10.3390/rs14041047

http://dx.doi.org/10.3390/rs14041047
https://www.mdpi.com/journal/remotesensing
https://hal.archives-ouvertes.fr/hal-03711684

Numerical modeling using gprMax to identify a subsurface tack coat for SVM classification

NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM, FRANCE, pp.1-5

http://dx.doi.org/10.3997/2214-4609.202120040
https://hal.archives-ouvertes.fr/hal-03329536

Roadway Interface Analysis with A Support Vector Regression Based Linear Prediction Method Using Stepped-Frequency Radar

IGARSS 2019, IEEE International Geoscience and Remote Sensing Symposium, JAPON, pp. 3598-3601

http://dx.doi.org/10.1109/IGARSS.2019.8899302
https://hal.archives-ouvertes.fr/hal-02993052

Performance assessment of SVM-based classification techniques for the detection of artificial debondings within pavement structures from stepped-frequency A-scan radar data

NDT & E International, 107, 15p, doi: 10.1016/j.ndteint.2019.102128

http://dx.doi.org/10.1016/j.ndteint.2019.102128
https://www.sciencedirect.com/journal/ndt-and-e-international
https://hal.archives-ouvertes.fr/hal-02992660

The use of impulse and stepped frequency radar to characterize the hydric behaviour of a porous pavement structure

Near Surface Geophysics, 17, 3, pp.201-212, doi: 10.1002/nsg.12044

http://dx.doi.org/10.1002/nsg.12044
https://onlinelibrary.wiley.com/journal/18730604?tabActivePane=undefined
https://hal.archives-ouvertes.fr/hal-02133940

A Linear Prediction and Support Vector Regression-Based Debonding Detection Method Using Step-Frequency Ground Penetrating Radar

IEEE Geoscience and Remote Sensing Letters, 16, 3, pp367-371, doi: 10.1109/LGRS.2018.2873045

http://dx.doi.org/10.1109/LGRS.2018.2873045
https://hal.archives-ouvertes.fr/hal-01907612

Influence of Concrete Carbonation on Electromagnetic Permittivity Measured by GPR and Capacitive Techniques

Journal of Environmental and Engineering Geophysics, 23, 4, 19 p, doi: 10.2113/JEEG23.4.443

https://doi.org/10.2113/JEEG23.4.443
https://library.seg.org/journal/jeegxx

Automated data extraction from synthetic and real radargrams of complex structures

Journal of Environmental and Engineering Geophysics, 23, 4, pp. 437-442, doi: 10.2113/JEEG23.4.407

http://dx.doi.org/10.2113/JEEG23.4.407
https://pubs.geoscienceworld.org/jeeg

TU1208 open database of radargrams: the dataset of the IFSTTAR geophysical test site

Remote sensing, 10, 4, 50 p, doi: 10.3390/rs10040530

https://www.mdpi.com/2072-4292/10/4/530

Design of an UHF antenna insensitive to the concrete dielectric characteristics. In : Dominique Lesselier, Christophe Reboud (Eds.). Electromagnetic Non-Destructive Evaluation (XXI)

IOP Publishing, pp. 136-143

http://ebooks.iospress.nl/volumearticle/49023

Non Destructive Evaluation of concrete material properties for nuclear power plant survey: results in the laboratory and on the VeRCoRS mock-up

NDE/NDT, Structural Materials Technology for Highways and Bridges (SMT) and the International Symposium on Non-Destructive Testing in Civil Engineering (NDT-CE) 2018, ETATS-UNIS, 9p

https://ndtlibrary.asnt.org/2018/NondestructiveEvaluationofConcreteMaterialPropertiesforNuclearPowerPlantSurveyResultsintheLaborat

Development of a calibration methodology to improve the on-site non-destructive evaluation of concrete durability indicators

Materials and Structures, 51, 2, 

https://link.springer.com/article/10.1617/s11527-018-1165-4
https://hal.insa-toulouse.fr/hal-01876324

Full-waveform inversion using a stepped-frequency GPR to characterize the tack coat in hot-mix asphalt (HMA) layers of flexible pavements

NDT & E international, 95, pp.17-25, doi: 10.1016/j.ndteint.2017.12.006

http://dx.doi.org/10.1016/j.ndteint.2017.12.006
https://www.sciencedirect.com/journal/ndt-and-e-international