Modeling of Environmental Effects on Thermal Detection of Subsurface Damage in Concrete

Rumbayan, Rilya; Washer, Glenn

doi:10.1080/09349847.2014.933993

Cited by 26 publications

(25 citation statements)

References 7 publications

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“…In addition, the results in Figure b indicate that the thermal contrast resulting from a shallow delamination is generally higher than that of a deep delamination in heating phase, and the difference gradually decreases in cooling phase. The experimental observations are consistent with previous experimental studies …”

Section: Resultsmentioning

confidence: 99%

The influence of ambient environmental conditions in detecting bridge concrete deck delamination using infrared thermography (IRT)

Raja

Miramini

Duffield

et al. 2020

Struct Control Health Monit

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Summary Delamination is a serious form of deterioration in concrete bridge decks. Infrared thermography (IRT) is an advance non‐destructive testing method for concrete bridge deck delamination detection by capturing the absolute thermal contrast (ΔT) on the concrete surface caused by the disruption in heat flow due to subsurface defects. However, as the ambient environmental conditions (e.g. wind velocity and solar radiation) of a bridge could significantly affect the measurement outcomes of IRT, the optimal times for infrared data collection are still unclear. In this paper, a series of experimental and numerical studies were carried out to investigate the effects of the rate of heat flux and wind velocity on ΔT on the surface of bridge decks with the aim of identifying the optimal inspection times for different geometry characteristics of delamination (i.e. size and depth). The developed model is firstly validated by the experimental data and then a series of parametric studies were carried out. The result shows that the heat flux rate plays an important role in the development of ΔT on concrete surface, especially for a relatively shallow and small size delamination. However, the influence of heat flux rate gradually diminishes with the increase in size and depth of delamination. In addition, it demonstrates that there is a positive linear correlation between the total heat energy (external irradiation) and square of the delamination depth. The current research represents an important step towards the development of an effective and efficient way for defect detection using IRT.

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Section: Resultsmentioning

confidence: 99%

The influence of ambient environmental conditions in detecting bridge concrete deck delamination using infrared thermography (IRT)

Raja

Miramini

Duffield

et al. 2020

Struct Control Health Monit

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show abstract

“…Furthermore, since temperature differences between the sound and delaminated parts were very small, less than 0.5°C in this experiment, even 1 or 2°C of slight error leads different results in this method. However, finite element modeling can simulate the [24,25], and the temperature differences are almost identical despite camera specifications and the photography angle. Therefore, if T(del.)…”

Section: Comparison Of Processed Imagesmentioning

confidence: 98%

“…However, for unknown defects, it is important to explore the temperature difference between sound and delaminated portions. Finite Element Method (FEM) might be one of the ways to simulate the temperatures as discussed in [24,25]. Since even IR cameras provide different temperature readings depending on camera specifications and the photography angle, it is impossible to obtain both T(del.)…”

Section: Comparison Of Processed Imagesmentioning

confidence: 99%

Infrared thermography for civil structural assessment: demonstrations with laboratory and field studies

Hiasa

Birgül

Çatbaş

2016

J Civil Struct Health Monit

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A detailed investigation of infrared thermography (IRT) for civil structures is presented by considering different technologies, data analysis methods and experimental conditions in the laboratory and also in the field. Three different types of infrared (IR) camera were compared under active IRT conditions in the laboratory to examine the effect of photography angle on IRT along with the specifications of cameras. It is found that when IR images are taken from a certain angle, each camera shows different temperature readings. However, since each IR camera can capture temperature differences between sound and delaminated areas, they have a potential to detect delaminated area under a given condition in spite of camera specifications even when they are utilized from a certain angle. Furthermore, a more objective data analysis method than just comparing IR images was explored to assess IR data, and it is much easier to detect delamination than raw IR images. Specially designed laboratory and field studies show the capabilities, opportunities and challenges of implementing IRT for civil structures.

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“…It also found the deeper defect had maximum temperature contrast at later time of the day. In their later research (Rumbayan and Washer 2014), solar radiation intensity, air temperature, and wind speed were included into a finite element model (FEM) for predicting the temperature contrast of debonded area to solid area in a concrete slab. Instead of the prediction based on the FEM, Watase et al (2015) conducted a multi-regression model to predict the surface temperature for debonded and solid areas based on six parameters.…”

Section: Figure1 Principle Of Detecting Delamination At Sub-surface mentioning

confidence: 99%

Time-Series Based Thermography on Concrete Block Void Detection

Cheng

Shen

2018

Construction Research Congress 2018

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Using thermography as a nondestructive method for subsurface detection of the concrete structure has been developed for decades. However, the performance of current practice is limited due to the heavy reliance on the environmental conditions as well as complex environmental noises. A non-time-series method suffers from the issue of solar radiation reflected by the target during heating stage, and issues of potential non-uniform heat distribution. These limitations are the major constraints of the traditional single thermal image method. Time series-based methods such as Fourier transform-based pulse phase thermography, principle component thermography, and high order statistics have been reported with robust results on surface reflective property difference and non-uniform heat distribution under the experimental setting. This paper aims to compare the performance of above methods to that of the conventional static thermal imaging method. The case used for the comparison is to detect voids in a hollow concrete block during the heating phase. The result was quantitatively evaluated by using Signal-to-Noise Ratio. Favorable performance was observed using time-series methods compared to the single image approach.

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Modeling of Environmental Effects on Thermal Detection of Subsurface Damage in Concrete

Cited by 26 publications

References 7 publications

The influence of ambient environmental conditions in detecting bridge concrete deck delamination using infrared thermography (IRT)

The influence of ambient environmental conditions in detecting bridge concrete deck delamination using infrared thermography (IRT)

Infrared thermography for civil structural assessment: demonstrations with laboratory and field studies

Time-Series Based Thermography on Concrete Block Void Detection

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