Prof. Margherita Fiani Profile

Prof. Margherita Fiani

at Univ degli Studi di Salerno

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Proceedings Article | 12 September 2021 Presentation + Paper

Ground Penetrating Radar (GPR) and Mobile Laser Scanner (MLS) technologies for non-destructive analysis of transport infrastructures

Luca Bianchini Ciampoli, Alessandro Calvi, Alessandro Di Benedetto, Margherita Fiani, Valerio Gagliardi

Proceedings Volume 11863, 118630M (2021) https://doi.org/10.1117/12.2599283

KEYWORDS: General packet radio service, Clouds, Profilometers, Laser applications, Structural health monitoring

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Linear transport infrastructures, as bridges and viaducts, are exposed to natural hazards or endogenous events, which can affect their operation and structural integrity. Recent unpredicted bridge failures and collapses highlight the need for effective structural monitoring operations, especially for aged concrete structures. Non-Destructive Testing (NDT) methods, such as Ground Penetrating Radar (GPR) and Mobile Laser Scanner (MLS), have been used for the assessing and monitoring of such structures in recent years. Our paper reports on the outcomes of the integrated monitoring method based on the use of GPR and MLS technologies for the structural assessment of bridges and the prevention of damages induced by structural subsidence. The analyses we made aim to assess the structural integrity of the Olivieri Viaduct, located in Salerno, Italy. Designed for this, a GPR inspection was made using multifrequency GPR systems equipped with both ground-coupled and air-launched antennas. In addition, MLS surveys were carried out to analyze and quantify pavement surface irregularities. The surface and structural condition of the pavement as measured by MLS has been integrated with GPR outcomes to identify and classify potential damage sources likely responsible for layer deterioration and surface decay. This study confirms that an integrated nondestructive monitoring approach based on GPR and MLS technologies can be successfully implemented to assess the health-condition of critical assets, clearing the way for integrated approaches in continuous monitoring of transport infrastructure.

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