Study on Infrared Thermographic Inspection of De-Bonding of Airport Asphalt Pavement

Tsubokawa, Yukitomo; Mizukami, Junichi

doi:10.2208/journalpe.12.17

Cited by 5 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Solla et al [7] combined Ground Penetrating Radar (GPR) and passive IRT techniques to detect cracks in a road asphalt pavement and characterize their origins. In airport infrastructures, there are the works of Tsubokawa et al [52] and Moropoulou et al [53]. In both cases, passive IRT is used to detect defects in pavement, analysing the temperature difference among the pixel values in each thermal image taken.…”

Section: Civil Infrastructurementioning

confidence: 99%

“…To validate the numerical solution, the heat propagation over a single aluminum layer is compared with an available analytical solution A better sensitivity is obtained with this method for the analysis of debonded layers with regard to existing methodologies Solla et al [7] Detection of cracks in road pavement and characterization of their origins through the combined application of GPR and IRT First, the techniques used are calibrated under controlled conditions. Subsequently, field data are acquired with both techniques and validated against calibration Suitability of the combination of techniques for the inspection and characterization of cracks in asphalt, allowing for the estimation of the depth of crack, the detection of the presence of filling material and the preliminary identification of the origins and severity of the cracks Tsubokawa et al [52] Inspection of the debonded layers from the flexible pavement of an airport using IRT Xu et al [55] Investigation on thermoinduction thermography to detect hidden cracks on corroded metal surface without removing the corrosion layer…”

Section: Civil Infrastructurementioning

confidence: 99%

See 1 more Smart Citation

Infrared Thermography’s Application to Infrastructure Inspections

2018

View full text Add to dashboard Cite

Health monitoring and prediction in different types of structures is essential in order to maintain optimal conditions. Some of the pathologies that affect their structural stability are characterized by distinct thermal properties compared to unaltered areas. Infrared thermography (IRT) is a technique based on the acquisition of the thermal radiation of the bodies using thermal sensors of infrared (IR) cameras, which produce an image of the thermal infrared radiation captured through the conversion of the radiation values to temperature values. Therefore, this technique can be used in different studies to analyse structures with one or more pathologies based on their anomalous thermal behaviour with regard to the unaltered surroundings. As a consequence, this review presents various IRT applications to infrastructure inspections, showing the utility of the technique.

show abstract

Section: Civil Infrastructurementioning

confidence: 99%

Section: Civil Infrastructurementioning

confidence: 99%

Infrared Thermography’s Application to Infrastructure Inspections

2018

View full text Add to dashboard Cite

show abstract

“…They used a temperature difference threshold of 0.5˚C (determined according to standard specifications) to detect distressed areas. Another work utilizing the method of thermography was done by Tsubokawa et al (2007), wherein they detected de-bonding between layers of flexible pavement in airports. Their experimental validation indicated the ability of infrared thermography to detect debonding at a depth of 40-70 mm from the surface of pavements depending on the weather conditions.…”

Section: Introductionmentioning

confidence: 99%

HIGHWAY AND AIRPORT RUNWAY PAVEMENT INSPECTION USING MOBILE LiDAR

Ravi

Bullock

Habib

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. With an ever-increasing network of thousands of miles of pavement laid out over highways, road networks, and airport runways, their continuous monitoring is a task of utmost importance to public agencies responsible for their maintenance. The existing approaches mostly rely on a manual detection of pavement distress based on acquired image or video data – an approach that is time-consuming, costly, and whose results are subjective to the designated rater. This necessitates the need for a system that is capable of a quick data acquisition along with an efficient algorithm for the detection and quantification of pavement distress based on the acquired data. This paper proposes a LiDAR-based pavement distress detection and quantification using a mobile mapping system (MMS). Starting with a comparison of a medium-grade and high-grade MMS in terms of their accuracy and captured level of detail, this paper proves the ability of the high-grade MMS to allow the detection of shallow potholes and cracks in the pavement. Next, a fully automated algorithm is proposed to detect pavement distress from 3D point cloud followed by a quantification of the severity (in terms of the depth and volume) of the detected potholes/cracks. Finally, an experimental verification conducted over a 10 mile highway segment and two airport runway strips indicates the efficient performance of the proposed data acquisition system as well as the algorithm to report the pavement distress ranging from shallow cracks over airport runways to deeper potholes along highway segments.

show abstract