{"title":"用于混凝土基础设施地下分层检测的被动红外热成像技术:推断最低要求","authors":"","doi":"10.1016/j.compstruc.2024.107529","DOIUrl":null,"url":null,"abstract":"<div><p>This paper introduces a computational approach for inferring the minimum requirements for the nondestructive inspection of subsurface delamination in outdoor concrete structures using passive infrared thermography (IRT). The non-linear numerical system was solved using the Finite Element Method (FEM). Complete verification and validation of the numerical model were performed through the analysis of experimental and computational errors, as well as through the comparison of computational outputs of thermal gradients with the contrast values measured in an experiment with solar radiation and passive IRT. The results of accuracy and precision of the computational simulation approach were found to be adequate, from a practical perspective, for the intended use of the model, with the thermal gradient values having an uncertainty of 0.080 ± 0.91<!--> <!-->°C and -0.016 ± 0.91<!--> <!-->°C for the concrete slab and column sample, respectively. Furthermore, the developed model was used to perform a one-year analysis of the studied case, in order to determine the approximate radiative heat flux required to identify defects with different size-to-depth (S/D) ratios in various concrete components with distinct solar exposures. Finally, the relationship between the calculated radiative heat flux and thermal contrast with the respective environmental variables in place was analyzed graphically.</p></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S004579492400258X/pdfft?md5=111c7d29ba6d01ec948f09ba1545c43a&pid=1-s2.0-S004579492400258X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Passive infrared thermography for subsurface delamination detection in concrete infrastructure: Inference on minimum requirements\",\"authors\":\"\",\"doi\":\"10.1016/j.compstruc.2024.107529\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper introduces a computational approach for inferring the minimum requirements for the nondestructive inspection of subsurface delamination in outdoor concrete structures using passive infrared thermography (IRT). The non-linear numerical system was solved using the Finite Element Method (FEM). Complete verification and validation of the numerical model were performed through the analysis of experimental and computational errors, as well as through the comparison of computational outputs of thermal gradients with the contrast values measured in an experiment with solar radiation and passive IRT. The results of accuracy and precision of the computational simulation approach were found to be adequate, from a practical perspective, for the intended use of the model, with the thermal gradient values having an uncertainty of 0.080 ± 0.91<!--> <!-->°C and -0.016 ± 0.91<!--> <!-->°C for the concrete slab and column sample, respectively. Furthermore, the developed model was used to perform a one-year analysis of the studied case, in order to determine the approximate radiative heat flux required to identify defects with different size-to-depth (S/D) ratios in various concrete components with distinct solar exposures. 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引用次数: 0
摘要
本文介绍了一种计算方法,用于推断使用被动红外热成像技术(IRT)对室外混凝土结构中的地下分层进行无损检测的最低要求。非线性数值系统采用有限元法(FEM)求解。通过对实验和计算误差的分析,以及热梯度计算输出与太阳辐射和被动红外热成像实验测量对比值的比较,对数值模型进行了全面的验证和确认。计算模拟方法的准确度和精确度结果表明,从实用角度来看,模型的预期用途是足够的,混凝土板和柱子样本的热梯度值的不确定性分别为 0.080 ± 0.91 °C 和 -0.016 ± 0.91 °C。此外,还利用所开发的模型对所研究的情况进行了为期一年的分析,以确定在不同的混凝土构件中识别不同尺寸深度比(S/D)的缺陷所需的近似辐射热通量。最后,对计算得出的辐射热通量和热对比度与相应环境变量之间的关系进行了图解分析。
Passive infrared thermography for subsurface delamination detection in concrete infrastructure: Inference on minimum requirements
This paper introduces a computational approach for inferring the minimum requirements for the nondestructive inspection of subsurface delamination in outdoor concrete structures using passive infrared thermography (IRT). The non-linear numerical system was solved using the Finite Element Method (FEM). Complete verification and validation of the numerical model were performed through the analysis of experimental and computational errors, as well as through the comparison of computational outputs of thermal gradients with the contrast values measured in an experiment with solar radiation and passive IRT. The results of accuracy and precision of the computational simulation approach were found to be adequate, from a practical perspective, for the intended use of the model, with the thermal gradient values having an uncertainty of 0.080 ± 0.91 °C and -0.016 ± 0.91 °C for the concrete slab and column sample, respectively. Furthermore, the developed model was used to perform a one-year analysis of the studied case, in order to determine the approximate radiative heat flux required to identify defects with different size-to-depth (S/D) ratios in various concrete components with distinct solar exposures. Finally, the relationship between the calculated radiative heat flux and thermal contrast with the respective environmental variables in place was analyzed graphically.
期刊介绍:
Computers & Structures publishes advances in the development and use of computational methods for the solution of problems in engineering and the sciences. The range of appropriate contributions is wide, and includes papers on establishing appropriate mathematical models and their numerical solution in all areas of mechanics. The journal also includes articles that present a substantial review of a field in the topics of the journal.