Muthukkumaran, Kasinathan
Evaluation of Pavement Stripping Using Ground-Penetrating Radar : A Case Study - Vol.51(1), February - Germany Springer 2021 - 197-204p.
Non-destructive testing techniques are highly valuable in the present day scenario as it can save money and time for the qualitative evaluation of any site. This paper presents a case study utilizing one such technique, employing a ground-coupled Ground-Penetrating Radar (GPR). The GPR was used to estimate the damages to the pavement and underlying subgrade soil at Cochin International Airport Limited (CIAL), Cochin, Kerala, India. The state of Kerala received 75% more than expected rainfall in the monsoon of 2018 and hence, faced one of the worst natural disasters in the form of floods between July and August. Therefore, a subsurface survey was performed at CIAL to analyse the pavement area and identify any detrimental effects caused by the floods. The subsurface survey scope was to image the subsurface to an approximate depth of 2–3 m to map the anomalies and quantitatively evaluate the affected areas of the runway, taxiways, and the link-ways. Non-destructive testing was opted not to affect the regular operations at the airport. This investigation involved the use of remote measurement methods, and therefore, all the findings presented here are the result of the measurement and interpretation of GPR data. The analysis was performed using a dedicated data analytics software called RADAN7. Based on the analysis, a quantitative criterion called the “stripping index” has been computed to define the degree of damages sustained by the pavement and its underlying layers. The results are both graphically and quantitatively discussed in this paper.
Civil Engineering
Evaluation of Pavement Stripping Using Ground-Penetrating Radar : A Case Study - Vol.51(1), February - Germany Springer 2021 - 197-204p.
Non-destructive testing techniques are highly valuable in the present day scenario as it can save money and time for the qualitative evaluation of any site. This paper presents a case study utilizing one such technique, employing a ground-coupled Ground-Penetrating Radar (GPR). The GPR was used to estimate the damages to the pavement and underlying subgrade soil at Cochin International Airport Limited (CIAL), Cochin, Kerala, India. The state of Kerala received 75% more than expected rainfall in the monsoon of 2018 and hence, faced one of the worst natural disasters in the form of floods between July and August. Therefore, a subsurface survey was performed at CIAL to analyse the pavement area and identify any detrimental effects caused by the floods. The subsurface survey scope was to image the subsurface to an approximate depth of 2–3 m to map the anomalies and quantitatively evaluate the affected areas of the runway, taxiways, and the link-ways. Non-destructive testing was opted not to affect the regular operations at the airport. This investigation involved the use of remote measurement methods, and therefore, all the findings presented here are the result of the measurement and interpretation of GPR data. The analysis was performed using a dedicated data analytics software called RADAN7. Based on the analysis, a quantitative criterion called the “stripping index” has been computed to define the degree of damages sustained by the pavement and its underlying layers. The results are both graphically and quantitatively discussed in this paper.
Civil Engineering