Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937, D'Amico, Fabrizio, Calvi, Alessandro, Bianchini Ciampoli, Luca and Benedetto, Andrea (2014) Potential of an air-launched GPR system for detecting pavement damages evolution: a case study. In: COST Action TU1208 "Civil Engineering Applications of Ground Penetrating Radar" 2nd General Meeting, 30 Apr - 02 May 2014, Vienna, Austria.

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Abstract

Among the effects of the Global Economic Crisis, it is possible to count a growth of the demand for Non-Destructive Technologies (NDTs). This is mainly due to their high performances, whereby they allow to collect many data over large distances, such as in case of road pavement inspections, in a really shortened time range and with relatively low financial efforts. In this research work, ground-penetrating radar (GPR) data collected on a rural road network were analysed. Analyses were carried out twice, with a seven-month time span each other, with the main goals to i) detect critical sections for road unsafety conditions occurrence; ii) monitor the evolution of existing damages and evaluate early-stage deep failures, even though not visible at the ground level; iii) interpret the impact of human factors in accident occurrence instead of environmental factors. An instrumented van supporting a 1GHz GPR air-launched horn antenna was employed to collect data at traffic speed. The reliability of results was enhanced by cross-checking multiple data from different support technologies (e.g. GPS, odometer, HD video camera). Lastly, GPR data were processed and pavement layers identified. Results show promising perspectives in predicting pavement damages evolution, paving the way to further implementation of prediction models for assessing residual life-cycle of pavements.

Item Type:	Conference or Workshop Item (Paper)
Page Range:	pp. 139-147
Keywords:	GPR; ground-penetrating radar; flexible pavement; health monitoring
Subjects:	Construction and engineering > Civil and environmental engineering Construction and engineering > Digital signal processing Construction and engineering > Built environment Construction and engineering > Civil and structural engineering Construction and engineering
Depositing User:	Fabio Tosti
Date Deposited:	28 May 2016 14:13
Last Modified:	28 Aug 2021 07:20
URI:	https://repository.uwl.ac.uk/id/eprint/2243

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