Dataset for training neural networks in concrete crack detection: laboratory-classified beam and column imagesRepositorio Institucional – Universidad de Lima by Alexandre Almeida Del Savio, Ana Luna Torres, Daniel Cárdenas-Salas, Mónica Vergara Olivera, Gianella Urday Ibarra

Subjects: “…Concrete crack detection…”
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Three-dimensional ground-penetrating radar-based feature point tensor voting for semi-rigid base asphalt pavement crack detection by Zhiyong Huang, Guoyuan Xu, Xiaoning Zhang, Bo Zang, Huayang Yu

“…The results show that this method achieves 90% crack extraction, which is superior to traditional target detection networks such as YOLOv5 and Fast R-CNN, providing an effective tool for rapid non-destructive detection of pavement cracks.…”
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A novel MPDENet model and efficient combined loss function for real-time pixel-level segmentation detection of tunnel lining cracks by Ningyu Zhao, Yi Song, Hao Liu, Ailin Yang, Haifei Jiang, Haihong Tan

“…Recent studies have demonstrated the potential of using convolutional neural networks (CNNs) for tunnel lining crack detection, offering a promising alternative to manual inspection methods. …”
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Enhancing Crack Segmentation With Limited Data: SinGAN-Based Synthesis and Blending of Textures and Cracks by Farhan Mahmood, Myrto Inglezou, Panagiotis Chatzakos, Antonis Porichis

“…The reliable detection of structural cracks is crucial in maintaining the integrity of different structures like pipes and pavements, yet it is often constrained by the limited availability of diverse training datasets. …”
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PECULIARITIES OF THE SURFACE FLAW DETECTION BY ELASTIC WAVES SIMULATED BY PULSE-LASER RADIATION by А. R. Bаеv, A. I. Мitkovets, D. A Коstiuk, G. E. Konovalov

“…We discovered that optimal conditions for flaw detection took place when the laser beam spot moving trough the defect’s range – crack and pore. …”
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Detection of structural diseases in tunnels under water-rich environments and performance evaluation of lining drainage structures by Xing Min, Jianbo Wang, Zhifeng Liu, Jizhe Zhang, Jingyuan He, Hongtong He, Xiaoxuan Tian, Ruizhe Huang

“…The latter exhibits a 38.89% improvement in crack resistance compared to the former. The catchment corridor floor type lining has better cracking resistance than the central drainage ditch invert type lining. …”
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A novel in-situ rapid crack detection approach for reinforced concrete structures using improved active contour contraction image segmentation method by Boxu Lin, Qing Chun, Zhengdong Mi, Yu Yuan

Subjects: “…crack detection…”
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Dual-Modal Fusion PRI-SWT Model for Eddy Current Detection of Cracks, Delamination, and Impact Damage in Carbon Fiber-Reinforced Plastic Materials by Rongyan Wen, Chongcong Tao, Hongli Ji, Jinhao Qiu

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The Validation of Chromatographic Methods in the Detection of Cocaine and Diluents in Drugs Seized by the Civil Police in the State of Espírito Santo by Karoline P. Miossi, Thays C. Valin, Ramon R. T. Bottocim, Bruno Q. Araújo, Wanderson Romão, Eustaquio V. R. de Castro, Valdemar Lacerda Jr., Alvaro Cunha Neto

“…This work aims to use GC/MS and HPLC to determine the limit of detection (LoD) and limit of quantification (LoQ) of 10 seized samples of crack and 10 of cocaine hydrochloride.  …”
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Bioinspired Ultrasensitive Flexible Strain Sensors for Real-Time Wireless Detection of Liquid Leakage by Weilong Zhou, Yu Du, Yingying Chen, Congyuan Zhang, Xiaowei Ning, Heng Xie, Ting Wu, Jinlian Hu, Jinping Qu

“…Inspired by scorpions, TCGS features Archimedean spiral crack arrays and micropores, achieving 218.13 sensitivity at 2% strain, a 4300% increase, and over 5000 usage cycles of durability. …”
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On The Vibration of a Cracked Rotating Blade by Ming-Chuan Wu, Shyh-Chin Huang

“…However, the centrifugal effects increased significantly such that the crack’s effects became relatively insignificant. Nevertheless, the study showed that the changes on the natural frequency and the tip-deflection of the blade due to a crack may be used as indices for on-line detection of cracks.…”
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Dynamic Response Analysis of Tooth Root Crack Failure in Helical Idler Gear System Under Different Working Flank Conditions by Hengzhe Shi, Wei Li, Wanlin Zhou

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CrackNet: A new deep learning-based strategy for automatic classification of road cracks after earthquakes by Fatih Demir, Erkut Yalcin, Mehmet Yilmaz

“…Therefore, there is a need for system applications that automatically detect asphalt deterioration. In this study, the images of asphalt cracks that occurred in five different major cities in Turkey after two major earthquakes that occurred consecutively in the Elbistan region were analyzed. …”
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Wavelet based technique for multi-crack detection of a beam-like structure using the vibration data measured directly from a moving vehicle by Nguyen Viet Khoa, Tran Thanh Hai

“…In this paper an idea for crack detection of a multi-cracked beam-like structure by analyzing the vibration measured directly from the vehicle is presented. …”
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Self-reference Lock-in Thermography for Detecting Defects in Metal Bridge Spans by A. L. Solovyev, M. E. Royak

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On-line Ultrasonic Flaw Detection of High-power Heavy-load Freight Locomotive Axle by LIU Xian

Subjects: “…fatigue crack…”
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Research on Intelligent Identification Technology for Bridge Cracks by Yumeng Su, Yunlong Song, Zhaomin Zhan, Zhuo Bi, Bang Zhou, Youling Yu, Yanting Song

“…However, the issue of cracks in concrete structures remains prominent. In on-site bridge crack detection, the traditional crack identification techniques fail to meet demands due to their inefficiency, inaccuracy, and the challenges posed by high-altitude conditions. …”
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Vibro-Impact Response of a Cracked Bar by Vikrant R. Hiwarkar, Vladimir I. Babitsky, Vadim V. Silberschmidt

“…Cracks introduce nonlinearities into the system; the use of such nonlinearities for damage detection should be investigated. …”
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Study of short cracks under biaxial fatigue by P. Lopez-Crespo, B. Moreno, A. Garcia-Gonzalez, J. Zapatero, A. Lopez-Moreno

“…The setup employed allowed detection of the crack to within 6 ?m from the edge of the hole on average and monitoring of the crack during early stages. …”
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Impact of Arch Dam Cracking on Monitoring Data by André Conde, Miguel Á. Toledo, Eduardo Salete

“…Afterward, the study analyzes the impact of the length and depth of the crack and the accuracy and position of the monitoring device on the ability of the system to detect the crack.…”
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