INFRARED THERMOGRAPHY FOR DETECTING DEFECTS IN CONCRETE STRUCTURES

The traditional methods for inspecting large concrete structures such as dams and cooling towers require erecting large amounts of scaffolding to access the surface of the concrete structure in order to sound the concrete with an impact device or hammer to expose the damaged or defective areas.  Another method for accessing the surface of a large concrete structure is to employ climbing inspections which poses a considerable safety risk. These traditional methods are used to determine defect or damage within a few inches of the surface. In addition to the logistic difficulty of these methods a hammer can cause damage if care is not taken. Further, it can cover only a small area. Infrared Thermography (IRT), also referred to as thermal imaging, utilizes the infrared spectrum to show differences in heat dissipating from a structure using a thermal imaging camera. This paper presents a review of the IRT research for detecting defects in concrete structures. Health monitoring and damage detection of large structures such as bridges and high-rise buildings has been a very active area of research in recent years. The two main approaches explored by researchers are vibration-based health monitoring and camera-based vision technology. IRT remains to be another promising technology for economical health monitoring of structures.

[1]  Hojjat Adeli,et al.  Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures , 2016 .

[2]  David B. Scott,et al.  Thermographic inspection of massive structures , 2014 .

[4]  K. Ghazi Wakili,et al.  Effects of individual climatic parameters on the infrared thermography of buildings , 2013 .

[5]  Hojjat Adeli,et al.  Machine Learning: Neural Networks, Genetic Algorithms, and Fuzzy Systems , 1994 .

[6]  Huan Zhou,et al.  A Computationally Efficient Algorithm for Real‐Time Tracking the Abrupt Stiffness Degradations of Structural Elements , 2016, Comput. Aided Civ. Infrastructure Eng..

[7]  Marc O. Eberhard,et al.  IMAGING OF REINFORCED CONCRETE: STATE-OF-THE-ART REVIEW , 1995 .

[8]  Wmk Roddis,et al.  Principles of Thermography and Radar for Bridge Deck Assessment , 1990 .

[9]  Devin K. Harris,et al.  Synthesis of field performance of remote sensing strategies for condition assessment of in-service bridges in Michigan , 2016 .

[10]  Oral Büyüköztürk,et al.  Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization , 2015, Comput. Aided Civ. Infrastructure Eng..

[11]  Hao Zhang,et al.  A Multiwavelet Neural Network‐Based Response Surface Method for Structural Reliability Analysis , 2015, Comput. Aided Civ. Infrastructure Eng..

[12]  Devin K. Harris,et al.  Combined Imaging Technologies for Concrete Bridge Deck Condition Assessment , 2015 .

[13]  Xavier Maldague,et al.  Theory and Practice of Infrared Technology for Nondestructive Testing , 2001 .

[14]  K. Karami,et al.  Developing a Smart Structure Using Integrated Subspace‐Based Damage Detection and Semi‐Active Control , 2016, Comput. Aided Civ. Infrastructure Eng..

[15]  Ralf W. Arndt,et al.  Comparison of NDT Methods for Assessment of a Concrete Bridge Deck , 2013 .

[16]  Nazmul Siddique,et al.  Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing , 2013 .

[17]  Udaya B. Halabe,et al.  Nondestructive Testing of GFRP Bridge Decks Using Ground Penetrating Radar and Infrared Thermography , 2010 .

[18]  Chih-Hung Chiang,et al.  Defect detection of concrete structures using both infrared thermography and elastic waves , 2008 .

[19]  Theodore E. Matikas,et al.  Combined use of thermography and ultrasound for the characterization of subsurface cracks in concrete , 2010 .

[20]  Ka-Veng Yuen,et al.  Real‐Time System Identification: An Algorithm for Simultaneous Model Class Selection and Parametric Identification , 2015, Comput. Aided Civ. Infrastructure Eng..

[21]  Hyo Seon Park,et al.  Neurocomputing for Design Automation , 2018 .

[22]  Xilin Lu,et al.  Model‐Reference Health Monitoring of Hysteretic Building Structure Using Acceleration Measurement with Test Validation , 2016, Comput. Aided Civ. Infrastructure Eng..

[23]  Giordano Teza.  THIMRAN: MATLAB Toolbox for Thermal Image Processing Aimed at Damage Recognition in Large Bodies , 2014 .

[24]  Carlos A. Perez-Ramirez,et al.  New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform , 2016, Eng. Appl. Artif. Intell..

[25]  Jung-Hoon Kim,et al.  3D displacement measurement model for health monitoring of structures using a motion capture system , 2015 .

[26]  John S. Popovics,et al.  Nondestructive Bridge Deck Testing with Air-Coupled Impact-Echo and Infrared Thermography , 2012 .

[27]  Jiawei Xiang,et al.  A Two‐Dimensional Plum‐Blossom Sensor Array‐Based Multiple Signal Classification Method for Impact Localization in Composite Structures , 2016, Comput. Aided Civ. Infrastructure Eng..

[28]  Sherif Yehia,et al.  Investigation of Mix-Variation Effect on Defect-Detection Ability Using Infrared Thermography as a Nondestructive Evaluation Technique , 2016 .

[29]  Hojjat Adeli,et al.  A New Approach for Health Monitoring of Structures: Terrestrial Laser Scanning , 2007, Comput. Aided Civ. Infrastructure Eng..

[30]  Theodore E. Matikas,et al.  NDT approach for characterization of subsurface cracks in concrete , 2011 .

[31]  Hojjat Adeli,et al.  Recent advances in health monitoring of civil structures , 2014 .

[32]  G. Washer,et al.  Effects of Solar Loading on Infrared Imaging of Subsurface Features in Concrete , 2010 .

[33]  Ying Lei,et al.  A Computationally Compact Algorithm for Real-time Detection of Abrupt Structural Stiffness Degradations , 2015 .

[35]  Ikhlas Abdel-Qader,et al.  Detection of Common Defects in Concrete Bridge Decks Using Nondestructive Evaluation Techniques , 2007 .

[36]  Ralf Arndt,et al.  Influence of concrete properties on the detection of voids with impulse-thermography , 2007 .

[37]  Koji Mitani,et al.  Non-destructive Bridge Deck Assessment Using Image Processing and Infrared Thermography , 2014 .

[38]  Denys Breysse,et al.  Comparison of nondestructive testing: Infrared thermography, electrical resisitivity and capacity methods for assessing a reinforced concrete structure , 2007 .

[39]  Alberto Holgado-Barco,et al.  Semiautomatic Extraction of Road Horizontal Alignment from a Mobile LiDAR System , 2015, Comput. Aided Civ. Infrastructure Eng..

[40]  I. Iervolino,et al.  Computer Aided Civil and Infrastructure Engineering , 2009 .

[41]  M. Maslehuddin,et al.  Assessing concrete density using infrared thermographic (IRT) images , 2012 .

[42]  Pedro Arias,et al.  Automatic Morphologic Analysis of Quasi‐Periodic Masonry Walls from LiDAR , 2016, Comput. Aided Civ. Infrastructure Eng..

[43]  Chul Min Yeum,et al.  Vision‐Based Automated Crack Detection for Bridge Inspection , 2015, Comput. Aided Civ. Infrastructure Eng..