Effect of Defect Size on Subsurface Defect Detectability and Defect Depth Estimation for Concrete Structures by Infrared Thermography

被引:46
|
作者
Hiasa, Shuhei [1 ,2 ]
Birgul, Recep [1 ,3 ]
Catbas, F. Necati [1 ,4 ]
机构
[1] Univ Cent Florida, Dept Civil Environm & Construct Engn, Pegasus Dr,Suite 211, Orlando, FL 12800 USA
[2] West Nippon Expressway Co Ltd NEXCO West, Kita Ku, Dojima Avanza 19F,1-6-20 Dojima, Osaka 5300003, Japan
[3] Mugla Sitki Kocman Univ, Dept Civil Engn, Mugla, Turkey
[4] Bogazici Univ, Dept Civil & Environm Engn, Istanbul, Turkey
基金
美国国家科学基金会;
关键词
Infrared thermography; Non-destructive evaluation; Bridge inspection; FE modeling; Effect of delamination size; Estimation of delamination depth; NONDESTRUCTIVE EVALUATION; HEAT-TRANSFER; NDT METHODS;
D O I
10.1007/s10921-017-0435-3
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
This study aims to reveal the effect and correlation of delamination size and defect shape for using infrared thermography (IRT) through FE modeling to enhance the reliability and applicability of IRT for effective structural inspections. Regarding the effect of delamination size, it is observed that the temperature difference between sound and delaminated area (Delta T) increases as the size of delamination increases; however, Delta T converges to a certain value when the area is 40x40 cm and the thickness is 1 cm. As for the shape of delamination, it can be assumed that if the aspect ratio which is the ratio of the length of the shorter side to the longer side of the delamination is more than 25%, Delta T of any delaminations converges to Delta T of the same area of a square/circular-shaped delamination. Furthermore, if the aspect ratio is 25% or smaller, Delta T becomes smaller than the Delta T of the same area of a square/circular-shaped delamination, and it is getting smaller as the ratio becomes smaller. Furthermore, this study attempts to estimate depths of delaminations by using IRT data. Based on the correlation between the size of delamination and the depth from the concrete surface in regard to Delta T, it was assumed that it was possible to estimate the depth of delamination by comparing Delta T from IRT data to Delta T at several depths obtained from FE model simulations. Through the investigation using IRT data from real bridge deck scanning, this study concluded that this estimation method worked properly to provide delamination depth information by incorporating IRT with FE modeling.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Experimental investigation of subsurface defect detection in concretes by infrared thermography and convection heat exchange
    Pedram, M.
    Taylor, S.
    Robinson, D.
    Hamill, G.
    O'Brien, E.
    Uddin, N.
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2022, 12 (06) : 1355 - 1373
  • [42] Analyzing probability of detection as a function of defect size and depth in pulsed IR thermography
    Moskovchenko, Alexey
    Svantner, Michal
    Vavilov, Vladimir
    Chulkov, Arsenii
    NDT & E INTERNATIONAL, 2022, 130
  • [43] Experimental investigation of subsurface defect detection in concretes by infrared thermography and convection heat exchange
    M. Pedram
    S. Taylor
    D. Robinson
    G. Hamill
    E. O’Brien
    N. Uddin
    Journal of Civil Structural Health Monitoring, 2022, 12 : 1355 - 1373
  • [44] Toward automatic evaluation of defect detectability in infrared images of composites and honeycomb structures
    Florez-Ospina, Juan F.
    Benitez-Restrepo, H. D.
    INFRARED PHYSICS & TECHNOLOGY, 2015, 71 : 99 - 112
  • [45] A Method of Defect Depth Estimation for Simulated Infrared Thermography Data with Deep Learning (vol 10, 6819, 2020)
    Fang, Qiang
    Maldague, Xavier.
    APPLIED SCIENCES-BASEL, 2021, 11 (08):
  • [46] Quantitative detection of defect size based on infrared thermography: temperature integral method
    Zhu, Pengfei
    Wu, Dan
    Yin, Lingxiao
    Han, Wei
    OPTICS EXPRESS, 2022, 30 (06): : 9119 - 9136
  • [47] The Effect of Heating Duration on the Quantitative Estimation of Defect Depth Using Sonic Infrared Imaging
    Obeidat, Omar
    Yu, Qiuye
    Favro, Lawrence
    Han, Xiaoyan
    JOURNAL OF NONDESTRUCTIVE EVALUATION, DIAGNOSTICS AND PROGNOSTICS OF ENGINEERING SYSTEMS, 2021, 4 (04):
  • [48] Defect depth quantification using lock-in thermography
    Delanthabettu, Sharath
    Menaka, Murugesan
    Venkatraman, Balasubramanian
    Raj, Baldev
    QUANTITATIVE INFRARED THERMOGRAPHY JOURNAL, 2015, 12 (01) : 37 - 52
  • [49] Analysis of pulsed thermography methods for defect depth prediction
    Sun, JG
    JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 2006, 128 (04): : 329 - 338
  • [50] PHASE ANGLE THERMOGRAPHY FOR DEPTH RESOLVED DEFECT CHARACTERIZATION
    Gleiter, A.
    Spiessberger, C.
    Busse, G.
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 28A AND 28B, 2009, 1096 : 526 - 532