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Feng L.,Wuhan University | Feng L.,Gansu construction investment Holding group general company | Wang H.,Gansu construction investment Holding group general company | Yan D.,China Academy of Building Research | Liu J.,China Academy of Building Research
Tumu Jianzhu yu Huanjing Gongcheng/Journal of Civil, Architectural and Environmental Engineering | Year: 2014

Internal defects of decorative layer on exterior wall, including mortar and ceramic tile decorative layers, were detected using thermal infrared imager. Variable characteristics of surface temperature for decorative layer heated by external heating source were studied. The distribution and variation law of surface temperature on decorative layer with time and space were obtained, and the influences of thickness, area and embedded depth of internal defect on image quality were analyzed. It is revealed that the thicker, bigger and shallower internal defect are more easily detected. The surface temperature of internal defect is maximum temperature point of approximate symmetry along with width direction. Based on the test results, the prediction model of dimensions for internal defect was established through statistical analysis technique, which can provide a reference for the related follow-up study and practical project application. Source


Feng L.,Wuhan University | Feng L.,Gansu construction investment Holding group general company | Wang H.,Gansu construction investment Holding group general company | Yan D.,China Academy of Building Research | Liu J.,China Academy of Building Research
Tumu Gongcheng Xuebao/China Civil Engineering Journal | Year: 2014

Thermal infrared imager is used to detect the internal defects of exterior wall decoration. The distribution and variation law of surface temperature on finish coat heated by external heating source with time and space are studied, and the influences of thickness and area of defects, tile color, the vertical shooting angel and emissivity of thermal infrared imager on image quality are analyzed. It is shown that thicker and bigger internal defects can be detected more easily. The surface temperature difference between defect area and undamaged area is obvious. The surface temperature at internal defect location is maximum temperature point of approximate symmetry along with width direction. The surface temperature of finish coat decreases with vertical shooting angel and emissivity of thermal infrared imager, but surface temperature-position curves of the same path are parallel approximately under different shooting angels. Based on the test results, estimation method of internal defect size by thermal infrared imager is proposed, and the estimation formula of internal defects area is established. The proposed method and formula can provide reference for future scientific research and engineering application. Source


Feng L.Q.,Wuhan University | Feng L.Q.,Gansu construction investment Holding group general company | Wang H.X.,Gansu construction investment Holding group general company | Yan D.W.,China Academy of Building Research | Liu J.L.,China Academy of Building Research
Applied Mechanics and Materials | Year: 2013

Internal defect of mortar finishing layer was detected using thermal infrared imager. The main object was to study variable characteristics of surface temperature on internal defect of mortar finishing layer heated by external heating source. The distribution and variation law of surface temperature on mortar finishing with time and space were obtained, and the influences of thickness, area and embedded depth of internal defect on image quality were analyzed. The test results show that the thicker, bigger and shallower internal defect is more easily detected. The surface mortar temperatures of internal defect is maximum temperature point of approximate symmetry along the width direction. Based on the test results, the prediction model of dimension of internal defect was established through statistical analysis technique, which can provide a reference for the related follow-up study and practical project application. © (2013) Trans Tech Publications, Switzerland. Source

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