外墻外保溫缺陷紅外檢測(cè)數(shù)值模擬方法研究
發(fā)布時(shí)間：2019-02-15 17:38
【摘要】：在建筑工程質(zhì)量缺陷檢測(cè)領(lǐng)域,紅外熱像法已經(jīng)成為普遍使用的檢測(cè)方法,紅外熱像檢測(cè)技術(shù)也日趨成熟,相關(guān)協(xié)會(huì)和地方質(zhì)量檢測(cè)部門都制定了相應(yīng)標(biāo)準(zhǔn)和檢測(cè)技術(shù)規(guī)程。對(duì)紅外熱像技術(shù)的研究也由定性分析向定量分析趨勢(shì)發(fā)展。目前紅外熱像技術(shù)對(duì)建筑工程質(zhì)量的檢測(cè)按對(duì)象不同主要分為三類：建筑缺陷檢測(cè)、建筑節(jié)能檢測(cè)、受潮與滲漏檢測(cè)。從定量分析方法上又可以分為數(shù)值模擬、圖像后處理和紅外熱診斷法三個(gè)方向。本文的主要工作是數(shù)值模擬分析有EPS板薄抹灰外保溫缺失缺陷和粘結(jié)缺陷的外墻傳熱過(guò)程,從而為紅外熱像法現(xiàn)場(chǎng)檢測(cè)提供理論依據(jù)和建議。本文以居住建筑節(jié)能檢測(cè)標(biāo)準(zhǔn)中對(duì)紅外熱像技術(shù)檢測(cè)外圍護(hù)結(jié)構(gòu)熱工缺陷的要求和紅外熱像法檢測(cè)建筑外墻飾面層粘結(jié)缺陷技術(shù)規(guī)程為依據(jù),采用ANSYS有限元熱分析軟件分別對(duì)這兩種類型缺陷的外墻建立了自然條件下的傳熱模型,數(shù)值模擬不同缺陷參數(shù)、墻體朝向、季節(jié)等多種組合情況下外墻的動(dòng)態(tài)傳熱過(guò)程,分析了以上各種參數(shù)對(duì)外墻外表面溫度分布的影響,結(jié)合實(shí)際紅外熱像檢測(cè)條件,得出了紅外熱像儀對(duì)不同參數(shù)缺陷的檢測(cè)能力以及不同季節(jié)下東、南、西、北墻的最佳檢測(cè)時(shí)段,為現(xiàn)場(chǎng)檢測(cè)保溫缺失缺陷和粘結(jié)缺陷提供建議和依據(jù)。主要研究?jī)?nèi)容包括以下幾個(gè)方面：(1)介紹紅外熱像技術(shù)的基礎(chǔ)理論與分析外墻的傳熱過(guò)程,從而引出紅外檢測(cè)外墻外保溫兩種缺陷的檢測(cè)原理,其中給出了重要參數(shù)(太陽(yáng)輻射強(qiáng)度、日氣溫、綜合溫度)的計(jì)算式,為后續(xù)數(shù)值模擬中參數(shù)的計(jì)算做好準(zhǔn)備。(2)分析了有限元的基本原理和ANSYS瞬態(tài)熱分析的基本步驟,然后按照基本步驟,分別建立了自然條件下EPS板薄抹灰外保溫缺失缺陷外墻模型和粘結(jié)空鼓缺陷外墻模型,并數(shù)值模擬了兩模型的傳熱過(guò)程。在外保溫缺失缺陷外墻模型傳熱過(guò)程熱分析中,先研究了檢測(cè)日前溫度變化對(duì)檢測(cè)日當(dāng)天計(jì)算結(jié)果的影響,再分析了檢測(cè)日外表面溫度分布特征,提出了對(duì)檢測(cè)日前溫度變化的要求,得出了檢測(cè)日當(dāng)天的外墻外表面溫度差值變化規(guī)律。在外保溫粘結(jié)空鼓缺陷外墻模型傳熱過(guò)程熱分析中,先對(duì)比分析了室外綜合溫度與正常區(qū)域外表面平均值,然后對(duì)正常區(qū)域外表面溫度平均值與缺陷中心點(diǎn)對(duì)應(yīng)外表面溫度進(jìn)行了對(duì)比研究,得出了檢測(cè)日當(dāng)天的外墻外表面溫度差值變化規(guī)律。最后通過(guò)將兩種模型的計(jì)算結(jié)果進(jìn)行對(duì)比分析,理論分析溫度差峰值的差別因缺陷面積、厚度不同所致。(3)用紅外熱像檢測(cè)外保溫缺失缺陷實(shí)驗(yàn)驗(yàn)證了此缺陷模型的可行性以及相應(yīng)結(jié)論的正確性,通過(guò)實(shí)測(cè)數(shù)據(jù)數(shù)值模擬結(jié)果與實(shí)驗(yàn)結(jié)果對(duì)比,證明了缺陷面積、厚度對(duì)外表面溫度差峰值影響的結(jié)論,并分析了實(shí)驗(yàn)結(jié)果和模擬結(jié)果誤差的主要影響因素。通過(guò)數(shù)值模擬分析粘結(jié)空鼓缺陷尺寸對(duì)外表面溫度差峰值的影響,得出與黃文浩論文中的紅外熱像法檢測(cè)外飾面層粘結(jié)空鼓缺陷實(shí)驗(yàn)結(jié)果一致的結(jié)論,證明了粘結(jié)空鼓缺陷模型的可行性。(4)為了進(jìn)一步分析缺陷參數(shù)(深度、厚度、面積)、墻體朝向、季節(jié)對(duì)保溫缺失外墻外表面的溫度分布的影響,在上述傳熱模型基礎(chǔ)上,分別對(duì)缺陷參數(shù)(深度、厚度、面積)、墻體朝向、季節(jié)等多種組合情況下進(jìn)行數(shù)值模擬,提取可檢測(cè)缺陷區(qū)域面積,確定在四季典型日中東、南、西、北墻的最佳檢測(cè)時(shí)段；根據(jù)缺陷區(qū)域面積和熱工缺陷評(píng)定等級(jí),結(jié)合實(shí)際拍攝條件確定紅外熱像儀的檢測(cè)能力,從而為現(xiàn)場(chǎng)檢測(cè)提供依據(jù)。(5)以外保溫粘結(jié)空鼓缺陷的外墻傳熱模型為基礎(chǔ),模擬分析缺陷參數(shù)(厚度、面積)、墻體朝向、季節(jié)對(duì)外墻外表面溫度分布的影響；并模擬了最新灑水降溫輔助手段下的外墻外表面溫度場(chǎng),與自然情況下相比較,外墻外表面溫差值大幅提升,證明了此手段的可行性。(6)總結(jié)前面章節(jié)中的重要結(jié)論,提出了研究中的不足之處。
[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.
【學(xué)位授予單位】：中國(guó)海洋大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TU761.12
本文編號(hào)：2423570
[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.
【學(xué)位授予單位】：中國(guó)海洋大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TU761.12
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