Active infrared thermography applied to defect detection and characterization on asphalt pavement samples: comparison between experiments and numerical simulations

Dumoulin, Jean; Ibos, Laurent; Ibarra-Castanedo, Clemente; Mazioud, Atef; Marchetti, M.; Maldague, Xavier; Bendada, A.

doi:10.1080/09500340.2010.522738

Cited by 22 publications

(17 citation statements)

References 6 publications

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“…4). The electric and thermal properties of these materials can be found in the pertinent literature (Dumoulin et al, 2010;Giannopoulos, 2005) and are listed in Table 1. The wall has a length of 2 m and a height of 1.5 m, and the wood inclusion is 1 m long and 10 cm thick.…”

Section: Numerical Testsmentioning

confidence: 99%

See 1 more Smart Citation

A joint thermal and electromagnetic diagnostics approach for the inspection of thick walls

Touz

Dumoulin

Gennarelli

et al. 2017

Geosci. Instrum. Method. Data Syst.

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Abstract. In this study, we present an inversion approach to detect and localize inclusions in thick walls under natural solicitations. The approach is based on a preliminary analysis of surface temperature field evolution with time (for instance acquired by infrared thermography); subsequently, this analysis is improved by taking advantage of a priori information provided by ground-penetrating radar reconstruction of the structure under investigation. In this way, it is possible to improve the accuracy of the images achievable with the standalone thermal reconstruction method in the case of quasiperiodic natural excitation.

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Section: Numerical Testsmentioning

confidence: 99%

“…The air is characterized by a relative dielectric permittivity equal to 1, whereas the steel can be assumed as a perfectly electricalconducting object. The thermal properties of these materials are described in Table 3 (Dumoulin et al, 2010;Giannopoulos, 2005).…”

Section: Numerical Testsmentioning

confidence: 99%

A joint thermal and electromagnetic diagnostics approach for the inspection of thick walls

Touz

Dumoulin

Gennarelli

et al. 2017

Geosci. Instrum. Method. Data Syst.

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“…Using infrared thermography, we can measure the different thickness of materials' surfaces between the thermal infrared camera and the source of heat [4,5,7,[12][13][14][15][16][17]. In other words, internal material thickness can be extrapolated from the external temperature exhibited in infrared thermography.…”

Section: Thermographic Analysismentioning

confidence: 99%

Detection of Internal Defects in As-Built Pipelines for Structural Health Monitoring: A Sensor Fusion Approach Using Infrared Thermography and 3D Laser-Scanned Data

Son¹,

Kim²

2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-Internal defects of pipelines are among the main factors causing accidents in the production phase of industrial plants. Periodic monitoring of a pipeline's inner surface condition is of great importance for minimizing the risk of failure of industrial plants. This study proposes a sensor fusion approach to detect internal defects automatically in as-built pipelines during their service lives to ensure structural safety. The proposed approach uses infrared thermography combined with threedimensional (3D) laser-scanned data. For this purpose, a multi-sensor system equipped with a thermal infrared camera and a 3D laser scanner was internally and externally calibrated. From the combined data set, 3D points corresponding to the as-built pipelines are extracted from laser-scanned data. Then, thermographic analysis of the corresponding thermal data of those pipelines is performed. In this step, the local thermal gradients on the pipeline's surface are calculated to detect areas having different thermal values. In addition, the global thermal gradients along the longitudinal or radial axes of the pipeline are calculated to determine the consistency of its internal thickness. The field experiment was performed at an operating petrochemical plant to validate the proposed approach. The experimental results revealed that the proposed approach has potential for detecting internal defects in as-built pipelines from infrared thermography combined with 3D laser-scanned data.

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“…These defects can results catastrophic structural failure unless their presence is detected and their effects are assessed in time. Which makes the inspection of reinforced concrete structures is a crucial and challenging aspect in the area of damage prediction and health monitoring [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…In active approach [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18], external heat stimulus is provided to the test sample of whose thermal response is to be observed. Known characteristics of the external thermal stimulation applied onto the specimen (i.e., nature of excitation, its time duration and its band width etc), facilitates the qualitative and quantitative characterization of sub-surface defects.…”

Section: Introductionmentioning

confidence: 99%

Non-Destructive Evaluation of Concrete Structures by Non-Stationary Thermal Wave Imaging

Mulaveesala¹,

Panda²,

Mude³

et al. 2012

PIER Letters

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Abstract-Reinforced concrete structures (RCS) have potential application in civil engineering and with the advent of nuclear engineering RCS to be capable enough to withstanding a variety of adverse environmental conditions. However, failures/loss of durability of designed structures due to premature reinforcement corrosion of rebar is a major constrain. Growing concern of safety of structure due to pre-mature deterioration has led to a great demand for development of non-destructive and non-contact testing techniques for monitoring and assessing health of RCS. This paper presents an experimental investigation of rebar corrosion by non-stationary thermal wave imaging. Experimental results have been proven, proposed approach is an effective technique for identification of corrosion in rebar in the concrete samples.

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Active infrared thermography applied to defect detection and characterization on asphalt pavement samples: comparison between experiments and numerical simulations

Cited by 22 publications

References 6 publications

A joint thermal and electromagnetic diagnostics approach for the inspection of thick walls

A joint thermal and electromagnetic diagnostics approach for the inspection of thick walls

Detection of Internal Defects in As-Built Pipelines for Structural Health Monitoring: A Sensor Fusion Approach Using Infrared Thermography and 3D Laser-Scanned Data

Non-Destructive Evaluation of Concrete Structures by Non-Stationary Thermal Wave Imaging

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