Crack Detection in Concrete Parts Using Vibrothermography

被引:2
|
作者
Yu Jia
Lei Tang
Binhua Xu
Shenghang Zhang
机构
[1] Nanjing Hydraulic Research Institute,College of Water Conservancy and Hydropower Engineering
[2] Hohai University,College of Civil and Transportation Engineering
[3] Hohai University,undefined
[4] State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,undefined
来源
关键词
Acoustic excitation device; Concrete material; Crack detection; Vibrothermography;
D O I
暂无
中图分类号
学科分类号
摘要
This study investigates the use of vibrothermography to detect cracks in concrete parts, developing acoustic excitation devices (sonic and ultrasonic and low- and high-power excitation devices) and examining the influences of excitation frequency, power, and pressure on the ability to detect cracks. Experimental results demonstrate that this inspection technique can suitably detect concrete cracks: Ultrasound at frequencies from 20 to 100 kHz could be used to excite concrete cracks with notable temperature rise; coarse aggregates in concrete do not interfere with the ability to detect cracks; high-power ultrasound enhances crack detection though intense scattering of attenuation that could be induced by coarse aggregates. Moreover, the stimulus horn designed as part of this study can input ultrasound at high power into concrete parts without damaging the contact surface, while the custom-made pressure loading sleeve can steadily exert force on the transducer during excitation; the optimal force exerted on KMD ultrasonic transducers with a rated power of 50 W is ~ 1500 N, which can make the transducer output enough power to detect cracks.
引用
收藏
相关论文
共 50 条
  • [21] Crack detection and quantification for concrete structures using UAV and transformer
    Ding, Wei
    Yang, Han
    Yu, Ke
    Shu, Jiangpeng
    AUTOMATION IN CONSTRUCTION, 2023, 152
  • [22] Water presence detection in a concrete crack using smart aggregates
    Kong, Qingzhao
    Feng, Qian
    Song, Gangbing
    INTERNATIONAL JOURNAL OF SMART AND NANO MATERIALS, 2015, 6 (03) : 149 - 161
  • [23] DETECTION OF CRACK ON CONCRETE SURFACES USING IMAGE PROCESSING TECHNIQUES
    Krishna, Duvvi Murali
    Madhuri, Gonthina
    Venkat, Lute
    STRUCTURAL INTEGRITY AND LIFE-INTEGRITET I VEK KONSTRUKCIJA, 2024, 24 (02): : 241 - 246
  • [24] Crack detection in concrete gravity dams using a genetic algorithm
    Rezaiee-Pajand, Mohammad
    Tavakoli, Fariba Hassanzadeh
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-STRUCTURES AND BUILDINGS, 2015, 168 (03) : 192 - 209
  • [25] Crack detection of reinforced concrete bridge using video image
    许薛军
    张肖宁
    JournalofCentralSouthUniversity, 2013, 20 (09) : 2605 - 2613
  • [26] Crack detection of reinforced concrete bridge using video image
    Xue-jun Xu
    Xiao-ning Zhang
    Journal of Central South University, 2013, 20 : 2605 - 2613
  • [27] Numerical simulations for impact damage detection in composites using vibrothermography
    Pieczonka, L. J.
    Staszewski, W. J.
    Aymerich, F.
    Uhl, T.
    Szwedo, M.
    9TH WORLD CONGRESS ON COMPUTATIONAL MECHANICS AND 4TH ASIAN PACIFIC CONGRESS ON COMPUTATIONAL MECHANICS, 2010, 10
  • [28] Crack detection in aluminum parts by using ultrasound-excited infrared thermography
    Guo, Xingwang
    Vavilov, Vladimir
    INFRARED PHYSICS & TECHNOLOGY, 2013, 61 : 149 - 156
  • [29] Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning
    Laxman, K. C.
    Tabassum, Nishat
    Ai, Li
    Cole, Casey
    Ziehl, Paul
    CONSTRUCTION AND BUILDING MATERIALS, 2023, 370
  • [30] Early Crack Detection of Reinforced Concrete Structure Using Embedded Sensors
    Chakraborty, Joyraj
    Katunin, Andrzej
    Klikowicz, Piotr
    Salamak, Marek
    SENSORS, 2019, 19 (18)