scholarly journals Parameters That Influence Corrosion Detection in Reinforced Concrete Based on Eddy Current Thermography

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Lu Liu ◽  
Dan Zheng ◽  
Jianting Zhou ◽  
Juan Yang ◽  
Hong Zhang
Keyword(s):  
Reinforced Concrete ◽  
Surface Temperature ◽  
Temperature Change ◽  
Eddy Current ◽  
Steel Corrosion ◽  
Concrete Cover ◽  
Quantitative Detection ◽  
Surface Temperature Change ◽  
Temperature Changes ◽  
Steel Bar

This study introduces an eddy current thermography technique that can be used to detect and evaluate steel corrosion in a reinforced concrete structure. The rate of surface temperature changes in reinforced concrete is proposed as a means to characterize the degree of steel bar corrosion. The rate of surface temperature changes increased gradually with an increase in the corrosion degree. The influence of structural parameters on the rate of the temperature change was analyzed in detail. The results indicated that the rate of surface temperature change increased with a decrease in the concrete cover depth and with an increase in the humidity of the concrete, and this was affected by the diameter of the internal steel bar. Concrete cover was the most significant factor that affected the rate of the surface temperature change, except for the corrosion degree. The variations in the surface temperature of reinforced concrete can be explained using the law of electromagnetic induction and the electrochemical property change of corroded steel bar. This research provides a reliable basis for real-world applications and is helpful to understand the application scope of eddy current thermography technology for the quantitative detection of steel corrosion.

scholarly journals A Simulated Climatology of Spectrally Decomposed Atmospheric Infrared Radiation

2013 ◽  
Vol 26 (5) ◽  
pp. 1702-1715 ◽  
Author(s):  
Yi Huang
Keyword(s):  
Water Vapor ◽  
Surface Temperature ◽  
Temperature Change ◽  
Infrared Radiation ◽  
Longwave Radiation ◽  
Co2 Absorption ◽  
Tropospheric Temperature ◽  
Surface Temperature Change ◽  
Temperature Changes ◽  
Radiation Spectra

Abstract A simulation experiment is conducted to inquire into the mean climate state and likely trends in atmospheric infrared radiation spectra. Upwelling and downwelling spectra at five vertical levels from the surface to the top of the atmosphere (TOA) are rigorously calculated from a climate-model-simulated atmosphere for a 25-yr period. Tracing the longwave radiation flux vertically and spectrally renders a dissection of the greenhouse effect of the earth atmosphere and its change due to climate forcings and feedbacks. The results show that the total outgoing longwave radiation (OLR) at the TOA may be conserved due to 1) compensating temperature and opacity effects and 2) contrasting temperature changes in troposphere and stratosphere. The tightly coupled tropospheric temperature and opacity effects reduce the overall tropospheric contribution to OLR change to be comparable to the overall stratospheric contribution, which suggests that transient OLR change is constrained by the relative strengths of stratospheric and tropospheric temperature changes. The total OLR energy, however, is redistributed across its spectrum. The earliest detectable global climate change signal lies in the CO2 absorption bands, which results from stratospheric cooling and the CO2 opacity effect. This signal can be detected much sooner than surface temperature change and is little affected by achievable instrument accuracy. In contrast, both tropospheric temperature and opacity effects increase downwelling longwave radiation (DLR), which makes DLR a verifiable aspect of global warming. The time it takes to detect surface DLR change roughly equals that of surface temperature change. Measuring downwelling radiances at strong water vapor lines at the tropopause can particularly help monitor stratospheric water vapor.

Correction to “GISS analysis of surface temperature change” by J. Hansen et al.

2000 ◽  
Vol 105 (D10) ◽  
pp. 12517-12517 ◽  
Author(s):  
J. Hansen ◽  
R. Ruedy ◽  
J. Glascoe ◽  
M. Sato
Keyword(s):  
Surface Temperature ◽  
Temperature Change ◽  
Surface Temperature Change

GISS analysis of surface temperature change

1999 ◽  
Vol 104 (D24) ◽  
pp. 30997-31022 ◽  
Author(s):  
J. Hansen ◽  
R. Ruedy ◽  
J. Glascoe ◽  
M. Sato
Keyword(s):  
Surface Temperature ◽  
Temperature Change ◽  
Surface Temperature Change
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