Crack Detection and Quantification in Beams Using Wavelets

Computer-Aided Civil and Infrastructure Engineering ◽

10.1111/j.1467-8667.2009.00618.x ◽

2009 ◽

Vol 24 (8) ◽

pp. 593-607 ◽

Author(s):

P.K. Umesha ◽

R. Ravichandran ◽

K. Sivasubramanian

Keyword(s):

Crack Detection ◽

Detection And Quantification

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An instantaneous-baseline multi-indicial nonlinear ultrasonic resonance spectral correlation technique for fatigue crack detection and quantification

Nonlinear Dynamics ◽

10.1007/s11071-020-06128-x ◽

2021 ◽

Author(s):

Junzhen Wang ◽

Yanfeng Shen ◽

Danyu Rao ◽

Wu Xu

Keyword(s):

Fatigue Crack ◽

Crack Detection ◽

Correlation Technique ◽

Spectral Correlation ◽

Nonlinear Ultrasonic ◽

Ultrasonic Resonance ◽

Fatigue Crack Detection ◽

Detection And Quantification

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A novel approach for thermal crack detection and quantification in structural concrete using ripplet transform

Structural Control and Health Monitoring ◽

10.1002/stc.2621 ◽

2020 ◽

Author(s):

Diana Andrushia A ◽

Anand N ◽

Prince Arulraj G

Keyword(s):

Crack Detection ◽

Thermal Crack ◽

Structural Concrete ◽

Ripplet Transform ◽

Novel Approach ◽

Detection And Quantification

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Experimental Investigation of Crack Detection and Quantification Using PWAS Array

Structural Health Monitoring 2019 ◽

10.12783/shm2019/32194 ◽

2019 ◽

Author(s):

ASAAD MIGOT ◽

YEASIN BHUIYAN ◽

VICTOR GIURGIUTIU

Keyword(s):

Experimental Investigation ◽

Crack Detection ◽

Detection And Quantification

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Efficient crack detection and quantification in concrete structures using IoT

Australian Journal of Electrical & Electronics Engineering ◽

10.1080/1448837x.2021.1914905 ◽

2021 ◽

Vol 18 (1) ◽

pp. 43-57

Author(s):

Ajay Nair ◽

Hemalatha R ◽

P Sangeetha ◽

Harish Kumar K ◽

Dinesh Kumar P ◽

...

Keyword(s):

Crack Detection ◽

Concrete Structures ◽

Detection And Quantification

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Physical-virtual time reversing of nonlinear Lamb waves for fatigue crack detection and quantification

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2021.107921 ◽

2021 ◽

Vol 160 ◽

pp. 107921

Author(s):

Junzhen Wang ◽

Yanfeng Shen ◽

Danyu Rao ◽

Wu Xu

Keyword(s):

Fatigue Crack ◽

Crack Detection ◽

Virtual Time ◽

Fatigue Crack Detection ◽

Detection And Quantification

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An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement

Automation in Construction ◽

10.1016/j.autcon.2020.103176 ◽

2020 ◽

Vol 114 ◽

pp. 103176 ◽

Author(s):

Ankang Ji ◽

Xiaolong Xue ◽

Yuna Wang ◽

Xiaowei Luo ◽

Weirui Xue

Keyword(s):

Crack Detection ◽

Asphalt Pavement ◽

Integrated Approach ◽

Detection And Quantification

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Research on eddy current pulsed thermography for rolling contact fatigue crack detection and quantification in wheel tread

2016 18th International Wheelset Congress (IWC) ◽

10.1109/iwc.2016.8068338 ◽

2016 ◽

Author(s):

Kang Zhang ◽

Jianping Peng ◽

Kai Yang ◽

Xiaorong Gao ◽

Yu Zhang ◽

...

Keyword(s):

Fatigue Crack ◽

Eddy Current ◽

Crack Detection ◽

Rolling Contact Fatigue ◽

Contact Fatigue ◽

Rolling Contact ◽

Pulsed Thermography ◽

Fatigue Crack Detection ◽

Detection And Quantification

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Axial magnetic field sensing for pulsed magnetic flux leakage hairline crack detection and quantification

2017 IEEE SENSORS ◽

10.1109/icsens.2017.8233983 ◽

2017 ◽

Author(s):

Chukwunonso K. Okolo ◽

Turgut Meydan

Keyword(s):

Magnetic Field ◽

Magnetic Flux ◽

Crack Detection ◽

Axial Magnetic Field ◽

Magnetic Flux Leakage ◽

Field Sensing ◽

Flux Leakage ◽

Detection And Quantification ◽

Magnetic Field Sensing

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Extreme learning machine based sub-surface crack detection and quantification method for ACFM

Journal of Magnetism and Magnetic Materials ◽

10.1016/j.jmmm.2021.168865 ◽

2021 ◽

pp. 168865

Author(s):

Shuxiang Zhao ◽

Ying Shen ◽

Jiazeng Wang ◽

Ruichao Zhu ◽

Wenmin Zhai ◽

...

Keyword(s):

Extreme Learning Machine ◽

Surface Crack ◽

Crack Detection ◽

Quantification Method ◽

Learning Machine ◽

Detection And Quantification

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Concrete crack detection and quantification using deep learning and structured light

Construction and Building Materials ◽

10.1016/j.conbuildmat.2020.119096 ◽

2020 ◽

Vol 252 ◽

pp. 119096 ◽

Author(s):

Song Ee Park ◽

Seung-Hyun Eem ◽

Haemin Jeon

Keyword(s):

Deep Learning ◽

Crack Detection ◽

Structured Light ◽

Concrete Crack ◽

Detection And Quantification

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