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建筑外墙饰面层内部缺陷红外热像法检测试验研究
引用本文:冯力强,王欢祥,晏大伟,刘吉林. 建筑外墙饰面层内部缺陷红外热像法检测试验研究[J]. 土木与环境工程学报, 2014, 36(2): 57-61
作者姓名:冯力强  王欢祥  晏大伟  刘吉林
作者单位:[1]武汉大学土木建筑工程学院,武汉430072 [2]甘肃省建设投资(控股)集团总公司,兰州730050 [3]甘肃省建筑科学研究院,兰州730050
基金项目:甘肃省科技支撑计划(1104GKCA053)
摘    要:利用红外热像仪对建筑外墙饰面层(包括砂浆饰面层和饰面砖饰面层)内部缺陷进行检测试验,研究饰面层内部缺陷在外部热源辐射下的表面温度变化特征,得出饰面层表面温度随时间、空间的分布及变化规律,并分析内部缺陷的厚度、面积大小、埋置深度等因素对红外热成像效果的影响.试验结果表明,厚度越大、面积越大、深度越浅的内部缺陷越容易被检测出来;缺陷沿其宽度方向的表面温度关于其最大温度点呈近似对称关系.基于试验结果,采用统计分析的方法建立了缺陷面积大小预测模型.

关 键 词:饰面层  红外热成像  表面温度  预测模型  缺陷
收稿时间:2013-11-13

Experimental Analysis of Infrared Thermography for Detecting Internal Defects of Decorative Layer on Exterior Wall
Feng Liqiang,Wang Huanxiang,Yan Dawei and Liu Jilin. Experimental Analysis of Infrared Thermography for Detecting Internal Defects of Decorative Layer on Exterior Wall[J]. Journal of Civil and Environmental Engineering, 2014, 36(2): 57-61
Authors:Feng Liqiang  Wang Huanxiang  Yan Dawei  Liu Jilin
Affiliation:1. School of Civil and Architectural Engineering, Wuhan University, Wuhan 43007Z, P. R. China; 2. Gansu Construction Investment (Holding) Group General Company, Lanzhou 730050, P. R. China 3. Gansu Academy of Building Research, Lanzhou 730050, P. R. China)
Abstract: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.
Keywords:decorative layer  infrared thermography  surface temperature  prediction model  defects
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