Analysis of Concrete Reflectance Characteristics Using Spectrometer and Vnir Hyperspectral Camera

Lee, J.-D.; Dewitt, Bon; Lee, S.-S.; Bhang, Kon Joon; Sim, Jung Bo

doi:10.5194/isprsarchives-xxxix-b7-127-2012

Cited by 10 publications

(6 citation statements)

References 5 publications

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“…Concrete quality assessment with spectral imaging had already been investigated in [ 13 ], where concrete specimens with different w/c ratios (water-to-cement ratio) were classified for density prediction. Moreover, in [ 14 ], concrete specimens with varying w/c ratios and curing times could be differentiated according to their concrete strength. The effects of different construction practices on the spectral characteristics of concrete were investigated in [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Curing Assessment of Concrete with Hyperspectral Imaging

et al. 2021

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The curing of concrete significantly influences the hydration process and its strength development. Inadequate curing leads to a loss of quality and has a negative effect on the durability of the concrete. Usually, the effects are not noticed until years later, when the first damage to the structure occurs because of the poor concrete quality. This paper presents a non-destructive measurement method for the determination of the curing quality of young concrete. Hyperspectral imaging in the near infrared is a contactless method that provides information about material properties in an electromagnetic wavelength range that cannot be seen with the human eye. Laboratory tests were carried out with samples with three different curing types at the age of 1, 7, and 27 days. The results showed that differences in the near infrared spectral signatures can be determined depending on the age of the concrete and the type of curing. The data was classified and analyzed by evaluating the results using k-means clustering. This method showed a high level of reliability for the differentiation between the different curing types and concrete ages. A recommendation for hyperspectral measurement and the evaluation of the curing quality of concrete could be made.

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Section: Introductionmentioning

confidence: 99%

Curing Assessment of Concrete with Hyperspectral Imaging

et al. 2021

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“…The use of hyper‐spectral images is usually applied to spectroscopy and remote sensing, relying on materials light absorption curves that characterize them. In 2012, Lee et al used Vis‐NIR, using the electromagnetic spectrum discretization for concrete strength assessment. Valença et al also used Vis‐NIR to detect cracks on concrete, reaching considerable advances by adding dimensionality to data sets, which may point that using highly discretized hyper‐spectral images may improve cracking pattern assessment.…”

Section: Introductionmentioning

confidence: 99%

Automatic mapping of cracking patterns on concrete surfaces with biological stains using hyper-spectral images processing

Santos

Valença

Júlio

2019

Struct Control Health Monit

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Summary Despite all technological advances, mapping cracks on concrete structures mostly remains to be evaluated through sketches based on on‐site observation and photographs. Methods based on image processing have been developed with clear advantages. However, most studies rely on perfectly identified areas or on single cracks without any other pathologies, being therefore unsuitable for on‐site application. In addition, the accuracy is not usually quantified due to the absence of ground‐truth. Thus, methods for automatic mapping of cracking patterns, sufficiently robust to deal with the surrounding pathologies, are of great interest. The Super Cluster‐Crack method (SC‐Crack method) is herein presented. It was developed for crack detection in concrete surfaces, with biological stains, by processing hyperspectral images. SC‐Crack performs k‐means clustering, followed by grouping clusters to composing a super cluster that stands for the cracks. The method was calibrated and validated by classifying hyperspectral images of concrete specimens, within bandwidths of 25 nm in a wavelength range between 425 nm and 950 nm. Results are discussed by comparison with the ground‐truth image. Finally, the super cluster composition is also validated. The SC‐Crack method performs successfully both on clean and on surface with biological stains. In the latter case, hyperspectral images help to avoid mixing biological stains with crack pattern. Concerning the main goal of mapping the cracking pattern, the method performs perfectly on concrete clean surfaces, allowing to detect all the crack branches. In the case of surface with biological stains, the SC‐Crack also detects the majority of cracking pattern, except for the thinner branches.

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“…Currently, there are only a few studies in the literature on the use of vis-NIR spectroscopy for characterization of concrete (e.g., Song and Saraswathy, 2007;Brook and Ben-Dor, 2011;Toda et al, 2012;Lee et al, 2012). As stated, these studies mostly focused on the chemical characterization of concrete; particularly the determination of chloride concentration in concrete structures like bridges to monitor the rate of corrosion in the steel reinforcement.…”

Section: Characterization Of Concrete Using Vis-nir Spectroscopy -Curmentioning

confidence: 99%

“…Even though the work of researchers, including Song and Saraswathy (2007), Brook andBen-Dor (2011), Toda et al (2012), Lee et al (2012), and Abbas (2015), has taken important steps towards addressing key knowledge gaps in the determination of chloride concentration in concrete structures using vis-NIR diffuse reflectance spectroscopy, there is still work to be done.…”

Section: Research Needs/knowledge Gapsmentioning

confidence: 99%

Towards enhancing sustainable reuse of pre-treated drill cuttings for construction purposes by near-infrared analysis: A review

Okparanma¹,

Araka²,

Ayotamuno³

et al. 2018

J. Civ. Eng. Constr. Technol.

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Sustainable reuse of pre-treated drill cuttings (a hazardous waste) as part substitute for fine aggregate in concrete for construction purposes is becoming increasingly attractive; however, issues remain. With recent studies focusing on the use of near-infrared spectroscopic technique for non-invasive determination of chloride concentration in concrete structures, this review examines the applicability of this new technique in the rapid determination of other equally important physicochemical characteristics of concrete produced with this hazardous waste. The nature, source, composition, ecological effects of, and management options for drill cuttings are reviewed. Furthermore, the principles of near-infrared diffuse reflectance spectroscopy are highlighted and lessons from its practical applications in soil science and petrochemical, environmental, and civil engineering are discussed. A framework for a rapid near-infrared analysis of concrete produced with pre-treated drill cuttings for enhanced sustainability as a construction material is also proposed.

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Analysis of Concrete Reflectance Characteristics Using Spectrometer and Vnir Hyperspectral Camera

Cited by 10 publications

References 5 publications

Curing Assessment of Concrete with Hyperspectral Imaging

Curing Assessment of Concrete with Hyperspectral Imaging

Automatic mapping of cracking patterns on concrete surfaces with biological stains using hyper-spectral images processing

Towards enhancing sustainable reuse of pre-treated drill cuttings for construction purposes by near-infrared analysis: A review

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