外墙外保温缺陷红外检测数值模拟方法研究
[Abstract]:In the field of construction quality defect detection, the infrared thermal image method has become a widely used detection method, and the infrared thermal image detection technology is becoming more and more mature, and the relevant association and the local quality detection department have developed corresponding standards and detection technical regulations. The research of the infrared thermal image technology is also developed by qualitative analysis to the quantitative analysis trend. At present, the detection of the quality of the building works by the infrared thermal imaging technology is mainly divided into three categories: construction defect detection, energy-saving detection, moisture and leakage detection. The quantitative analysis method can be divided into three directions: numerical simulation, image post-processing and infrared thermal diagnosis. The main work of this paper is to analyze the heat transfer process of the external wall with the defects of the external thermal insulation and the bonding defect of the EPS board, so as to provide the theoretical basis and suggestions for the on-site detection of the infrared thermal imaging method. In this paper, the requirement of the thermal defect of the outer envelope structure and the technical specification for the detection of the bonding defect of the exterior wall of the building by the infrared thermal imaging method are based on the standard of building energy-saving detection of the living energy-saving. The heat transfer model of the external wall of the two types of defects is established by using the ANSYS finite element thermal analysis software, and the dynamic heat transfer process of the outer wall is simulated by the numerical simulation of various combinations of different defect parameters, wall orientation, season and the like, The influence of the above parameters on the outer surface temperature distribution of the outer wall is analyzed, the detection capability of the infrared thermal imager on the defects of different parameters and the optimal detection period of the east, the south, the west and the north wall in different seasons are obtained by combining the actual infrared thermal image detection condition, and provides advice and basis for on-site detection of heat insulation missing defects and bonding defects. The main research contents include the following aspects: (1) The basic theory of the infrared thermal image technology and the heat transfer process of the external wall are introduced, so that the detection principle of the two defects of the external thermal insulation of the external wall of the infrared detection is led out, and the important parameters (solar radiation intensity, day temperature, the calculation formula of the comprehensive temperature) is prepared for the calculation of the parameters in the subsequent numerical simulation. (2) The basic principle of the finite element and the basic step of the transient thermal analysis of ANSYS are analyzed, and then the external wall model of the external thermal insulation of the EPS board and the model of the outer wall of the bonded air drum are set up according to the basic steps, and the heat transfer process of the two models is simulated numerically. in that heat analysis of the heat transfer process of the external wall model of the external thermal insulation defect, the influence of the temperature change before the detection date on the calculation result of the day of detection is studied, the characteristic of the outside surface temperature distribution of the detection day is analyzed, the requirement of the temperature change before the detection date is put forward, The variation law of the outer surface temperature difference of the outer wall on the day of the test was obtained. in that heat analysis of the heat transfer process of the outer wall model of the external heat-insulation bonded air-drum defect, the average value of the outdoor comprehensive temperature and the outside surface of the normal area is analyzed firstly, the average value of the outside surface temperature of the normal area and the outer surface temperature of the defect central point are compared and researched, The variation law of the outer surface temperature difference of the outer wall on the day of the test was obtained. In the end, the results of the two models are compared and analyzed, and the difference of the peak of the temperature difference of the theoretical analysis is caused by the defect area and the thickness. (3) The feasibility of the defect model and the validity of the corresponding conclusions are verified by using the infrared thermal image to detect the defect of the external thermal insulation defect. The results of the numerical simulation of the measured data are compared with the experimental results, and the conclusions of the influence of the defect area and the thickness on the temperature difference of the outer surface of the external surface are proved. The main influencing factors of the experimental results and the error of the simulation results are also analyzed. By means of numerical simulation, the influence of the temperature difference on the external surface temperature difference of the bonded air drum is analyzed, and the conclusion that the test result of the defect of the bonded air drum of the outer facing layer is detected by the infrared thermal image method in Huang Wen-ho's paper proves the feasibility of the defect model of the bonded air drum. (4) In order to further analyze the influence of the defect parameters (depth, thickness, area), wall orientation and season on the temperature distribution of the outer surface of the thermal insulation missing outer wall, on the basis of the heat transfer model, the defect parameters (depth, thickness, area), wall orientation, the numerical simulation is carried out in a plurality of combinations such as a season and the like, the area of the defect area can be detected, the optimal detection period of the middle east, the south, the west and the north wall in the four seasons is determined; and according to the defect area area and the thermal defect assessment level, and the detection capability of the infrared thermal imager is determined according to the actual shooting conditions, thereby providing the basis for on-site detection. (5) The external wall heat transfer model of the defect of the thermal insulation bonded air drum is based on the external wall heat transfer model, and the influence of the defect parameters (thickness, area), the wall orientation and the season on the outer surface temperature distribution of the outer wall is simulated, and the outer surface temperature field of the outer wall under the latest water spraying and cooling auxiliary means is simulated, Compared with the natural condition, the temperature difference of the outer surface of the outer wall is greatly improved, and the feasibility of the method is proved. (6) The important conclusions in the previous chapters are summarized, and the deficiencies in the study are put forward.
【学位授予单位】:中国海洋大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TU761.12
【相似文献】
相关期刊论文 前10条
1 郑建平,柳孙宁,何煜;外墙饰面砖粘结质量分析及改进措施[J];广东土木与建筑;2001年12期
2 张延校,陈华;建筑物外墙饰面砖质量通病的防治[J];河北煤炭;2001年02期
3 刘利君,文桂姬;建筑外墙饰面砖的应用[J];黑龙江纺织;2001年02期
4 郑建平,柳孙宁,何煜;外墙饰面砖粘结质量通病及原因分析和防治措施[J];工程质量;2002年03期
5 时卫庭,姚爱军;现代陶瓷外墙饰面砖粘贴的探讨[J];现代技术陶瓷;2002年01期
6 秦富光,董世勇;高层建筑外墙饰面砖防坠落施工法[J];一重技术;2003年04期
7 陈志龙;外墙饰面砖质量问题与防治方法的探讨[J];甘肃科技;2004年06期
8 林子欢;建筑外墙饰面砖工程质量监控[J];建设科技;2004年15期
9 郑宝玉;外墙饰面砖粘结质量分析与防治[J];广东建材;2004年10期
10 中建;外墙饰面砖如何防止脱落[J];建材工业信息;2004年12期
相关会议论文 前5条
1 朱斌;丁力;胡家旺;;基于现场综合法检测评估高层建筑外墙饰面砖完损状况的研究[A];2014年全国建工建材检测实验室可持续发展高峰论坛论文集[C];2014年
2 刘铁轮;郭品华;;外墙饰面砖的施工与质量检测[A];河南省建筑业行业优秀论文集(2007)[C];2007年
3 朱红卫;王琴;;某工程外墙饰面砖粘结强度检测及其质量事故分析[A];第八届全国建设工程无损检测技术学术会议论文集[C];2004年
4 喻建生;翟冠民;;高层住宅建筑外墙抗渗漏防治[A];土木建筑学术文库(第7卷)[C];2007年
5 张璐璐;;高层建筑外墙饰面砖防坠落施工[A];第二届“科协文化——中关村论坛”论文集[C];2013年
相关重要报纸文章 前4条
1 驻重庆记者 温宜君;重庆市出台措施禁止使用普通外墙瓷砖[N];中华建筑报;2010年
2 白伟 山西国营大众机械厂;谈房屋建筑外墙渗漏的成因以及防治措施[N];科学导报;2011年
3 金灿华 冯卫 罗兴龙;浅谈框剪结构填充墙渗漏通病分析及防治措施[N];中华建筑报;2006年
4 李艺兴;“包工头”梁某获刑并赔偿234万[N];中国建设报;2006年
相关硕士学位论文 前1条
1 徐华峰;外墙外保温缺陷红外检测数值模拟方法研究[D];中国海洋大学;2015年
,本文编号:2423570
本文链接:https://www.wllwen.com/jingjilunwen/jianzhujingjilunwen/2423570.html