Monitoring soil cracking using OFDR-based distributed temperature sensing framework by Jin-Jian Xu, Chao-Sheng Tang, Yaowen Yang, Zhao-Jun Zeng, Lin Li, Qing Cheng, Xi-Ying Zhang, Bin Shi

“…Sensitivity analysis demonstrated the remarkable crack detection capabilities of the AH-OFDR framework, irrespective of the soil crack width and spacing. …”
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Identification of Crack Location in Beam Structures Using Wavelet Transform and Fractal Dimension by Yong-Ying Jiang, Bing Li, Zhou-Suo Zhang, Xue-Feng Chen

“…In this paper, a hybrid method is presented to detect crack locations using wavelet transform and fractal dimension (FD) for beam structures. …”
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Improvement of crack tip position estimation in DIC images by image processing methods by Najat Zekriti, Fatima Majid, Hachimi Taoufik, Yassine Tounsi, Rajaa Rhanim, Ibrahim Mrani, Hassan Rhanim

“…An IDS camera captures several photos of the PVC surface as part of the image analysis procedure. All relevant data on crack initiation and propagation is collected and assessed using ImageJ software using image processing methods for detecting cracks. …”
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Concrete crack classification based on fourier image enhancement and convolutional neural network by Xiaoli Sun, Jun Yang, Wei Huang, Shuai Teng

“…Abstract This paper investigates the application of Fourier image enhancement combined with Convolutional Neural Networks (CNNs) for detecting cracks in concrete structures. Fourier enhancement is used to preprocess crack images, improving their clarity and reducing noise, which in turn enhances the performance of the CNN in accurately classifying cracks. …”
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Crack Parameters Identification Based on a Kriging Surrogate Model for Operating Rotors by Danyang Wang, Chunrong Hua, Dawei Dong, Biao He, Zhiwen Lu

“…A rotor-bearing system with a breathing crack is established by the finite element method and the superharmonic components are used as index to detect the cracks, the Kriging surrogate model between crack parameters and the superharmonic component amplitudes of the vibration response for rotors are constructed, and an improved NSGA-III is proposed to obtain the optimal crack parameters. …”
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Crack prediction in beam-like structure using ANN based on frequency analysis by Meriem Seguini, Nedjar Djamel, Boutchicha Djilali, Samir Khatir, Magd Abdel Wahab

“… The dynamic experimental and numerical analysis of cracked beams has been studied with the aim of quantifying the influence of depth crack on the dynamic response of steel beams. …”
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Research on Dynamic Performance of Locomotive Wheelset Driving Unitwith Gear Teeth Cracks by FAN Jiafeng, DENG Tiesong, LI Fuzhong, SU Zhaoyi

“…The resultsshowed that the difference between gear-pair meshing model and FE gear-pair was smaller than 10 percent; The meshing vibration ofgear-pair performed the time-varying character of the meshing stiffness; The reference circle crack would have a time-domain impact onthe dynamic performance of wheelset driving unit; Through the basic frequency of the smaller gear which was exhibited by the wheelsetdriving unit, the impact could be detected through frequency-domain method when the crack reached to some certain depth (i.e. thestiffness reduced to some certain value). …”
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Orientation of propagating crack paths emanating from fretting-fatigue contact problems by Eugenio Giner, José Díaz-Álvarez, Miguel Marco, Mª Henar Miguélez

“…The objective of the work is to detect which is the relevant parameter affecting the crack path orientation. …”
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Orientation of propagating crack paths emanating from fretting-fatigue contact problems by Eugenio Giner, José Díaz-Álvarez, Miguel Marco, Mª Henar Miguélez

“…The objective of the work is to detect which is the relevant parameter affecting the crack path orientation. …”
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Real-Time Road Crack Mapping Using an Optimized Convolutional Neural Network by M-Mahdi Naddaf-Sh, SeyedSaeid Hosseini, Jing Zhang, Nicholas A. Brake, Hassan Zargarzadeh

“…A descriptive approach is considered for identifying cracks from collected images using a convolutional neural network (CNN) that classifies several types of cracks. …”
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Computer-Aided Supporting Models of Customized Crack Propagation Sensors for Analysis and Prototyping by Paulina Kurnyta-Mazurek, Rafał Wrąbel, Artur Kurnyta

“…This paper briefly introduces a new type of sensor, called a Customized Crack Propagation Sensor (CCPS), which is an alternative for crack gauges, but with enhanced functional features and customizability. …”
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Structural Health Monitoring of Concrete Bridges Through Artificial Intelligence: A Narrative Review by Vijay Prakash, Carl James Debono, Muhammad Ali Musarat, Ruben Paul Borg, Dylan Seychell, Wei Ding, Jiangpeng Shu

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Lamb wave ultrasonic testing technology for diagnosis and prediction of hidden cracks in metal structures by Dawen Yao, Peiwen Meng, Shuqi Li, Jinggang Xu

“…Abstract In the field of traditional hidden crack detection in metal structures, detection technologies are often limited by low sensitivity and imprecise data analysis. …”
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Corrosion Crack Nucleation Mechanism in the Welded Structures of X65 Steel in Natural Seawater by Linyue Bai, Lei Gao, Kebin Jiang

“…The nucleation mechanism of corrosion cracks in welded structures in natural seawater has been revealed through investigation on the corrosion behavior of X65-welded structures in natural seawater. …”
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CrackdiffNet: A Novel Diffusion Model for Crack Segmentation and Scale-Based Analysis by Yunlong Song, Yumeng Su, Shiying Zhang, Ruilin Wang, Youling Yu, Weiping Zhang, Qi Zhang

“…These innovations collectively advance crack segmentation technology and provide a new solution for efficient crack detection in practical applications.…”
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Calculation of steel corrosion rate of reinforced concrete slab based on rust expansion crack. by Duo Wu, Ziyi Zou, Hao Wu, Weihong Wan, Shangchuan Zhao, Jian Cao

“…This approach tested the relationship between crack width in reinforced concrete slabs and the corrosion rate of main reinforcement. …”
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Integration of Probability Maps into Machine Learning Models for Enhanced Crack Segmentation in Concrete Bridges by Volodymyr Tyvoniuk, Roman Trach, Yuliia Trach

“…The results of this study provide valuable insights for structural engineers and researchers working on automated crack detection, contributing to the development of reliable tools for structural health monitoring.…”
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Frequency response function of cracked Timoshenko beam measured by a distributed piezoelectric sensor by Nguyen Tien Khiem, Tran Thanh Hai, Nguyen Thi Lan, Ho Quang Quyet, Ha Thanh Ngoc, Pham Van Kha

“…This concept of FRF depends only on exciting position and can be explicitly expressed through crack parameters. So that it provides a novel instrument to modal analysis and structural health monitoring of electro-mechanical systems, especially for crack detection in beams using distributed piezoelectric sensor. …”
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Crack Location in Wind Turbine Blades Using Vibration Signal and Support Vector Machine by Perla Y. Sevilla-Camacho, José B. Robles-Ocampo, Juvenal Rodríguez-Resendíz, Sergio De la Cruz-Arreola, Marco A. Zuñiga-Reyes, Edwin N. Hernández-Estrada

“…This study introduces a new method to locate cracks in wind turbine blades using the support vector machine algorithm and the tangential vibration signal measured at the root blade in static conditions. …”
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Development of in-situ fatigue crack observing system for rotating bending fatigue testing machine by B. Lian, A. Ueno, T. Iwashita

“…It is proved that this system can be detect a small fatigue crack and its propagation behavior.…”
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