Local crack suppression and activation of plastic flow via electron irradiation in oxide glasses by Sebastian Bruns, Karsten Durst

“…The change of the deformation resistance, determined by parameter ΔH/H0, shows a distinct increase at beam intensities from which on forward crack suppression has been detected, serving as indication for brittle-to-ductile transition.…”
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In situ observation of rolling contact fatigue cracks by laminography using ultrabright synchrotron radiation by Y. Nakai, D. Shiozawa, S. Kikuchi, K. Sato, T. Obama

“…RCF tests were carried out near the measurement hatch of the beam line used SRCL to enable the successive observation of crack initiation and growth behaviors. Specimens before and after the occurrence of flaking were observed by SRCL, and flaking defects and cracks under the surface were successfully detected. …”
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Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivity by Yulian Peng, Zhengyan Wang, Houping Wu, Junchen Luo, Xinxin Chang, Yufeng Wang, Shiwu Zhang, Zhihua Feng, Unyong Jeong, Hongbo Wang

“…Here, we suggest a magnetic crack-based piezoinductive sensor (MC-PIS) which exploits the strain modulation of magnetic flux in cracked ferrite films. …”
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Lightweight concrete crack recognition model based on improved MobileNetV3 by Rui Wang, Ruiqi Chen, Hao Yan, Xinxin Guo

“…Abstract This study created the C//Sim attention mechanism employing the parallel connection of the CA attention mechanism and the SimAm attention mechanism to detect cracks in lightweight concrete. MobileNetV3 was improved using the above method, and a lightweight concrete crack recognition model, MobileNetV3-C//Sim, was established. …”
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Landslide Identification in UAV Images Through Recognition of Landslide Boundaries and Ground Surface Cracks by Zhan Cheng, Wenping Gong, Michel Jaboyedoff, Jun Chen, Marc-Henri Derron, Fumeng Zhao

“…In this paper, an image-analysis-based landslide identification framework is developed to detect the landslides in UAV images by recognizing the landslide boundaries and ground surface cracks. …”
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Tectonic, Topographic, Geologic, and Hydroclimatic Influence on Crack Formation During the 2021 Haiti Earthquake by Newdeskarl Saint Fleur, Joseph E. Dessable, Germain Saint‐Preux, Éric Calais, Nathalie Feuillet, Dominique Boisson, Jean‐Bernard deChabalier, Yann Klinger

“…Analyzing the topographic slope distribution, we detected that the cracks were often located in areas that are prone to topographic instability. …”
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El modelado de una grieta de fatiga en una estructura plana y su detección mediante la transformada wavelet // Fatigue crack modeling in a planar truss and its detection using the wavelet transform. by Daniel José Isernia‐Trebols, Jorge Rodríguez‐Matienzo

“…</p><p><br />Key words: planar truss, crack detection, modal analysis, wavelet transform.…”
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Intelligent Automated Monitoring and Curing System for Cracks in Concrete Elements Using Integrated Sensors and Embedded Controllers by Papa Pio Ascona García, Guido Elar Ordoñez Carpio, Wilmer Moisés Zelada Zamora, Marco Antonio Aguirre Camacho, Wilmer Rojas Pintado, Emerson Julio Cuadros Rojas, Hipatia Merlita Mundaca Ramos, Nilthon Arce Fernández

“…This study addresses the formation, detection, and repair of cracks in concrete elements exposed to temperatures above 25 °C, where accelerated evaporation compromises their structural strength. …”
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Different Scale Crack Contour Extraction Techniques for Bridges Incorporating Improved YOLOv5 and GCNet by Yiming Wang, Yanfang Guo

“…This can improve the accuracy of crack detection and the precision of contour extraction. …”
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Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model by Zixuan Zhang, Yike He, Di Hu, Qiang Jin, Manxu Zhou, Zongwei Liu, Hongli Chen, He Wang, Xinchen Xiang

“…Among the seven comparison models, U-Net-FML has the strongest overall performance, highlighting its engineering value for precise detection and efficient analysis of cracks.…”
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Monitoring method⁃based guided wave for hole-edge crack in key attachment structure of helicopter by WANG Huaji, SHI Liming, DAI Yushan, QIU Lei

“…However, due to the difficulty in detecting small cracks at the early stages of propagation and the presence of large through-hole configurations in attachment lug structures, the accuracy of guided wave monitoring remains suboptimal. …”
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Monitoring method⁃based guided wave for hole-edge crack in key connection structure of helicopter by WANG Huaji, SHI Liming, DAI Yushan, QIU Lei

“…Therefore, addressing the accuracy issues in crack monitoring of attachment lug structures, this study proposes a piezoelectric guided wave array-based method for hole-edge crack detection. …”
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Estimation of Crack Tip Position in Adhesively Bonded Joints Subjected to Mode II Fatigue Loading by M. Mehrabi, L. M. Martulli, A. Bernasconi, M. Carboni

“…However, they are frequently used in structures subjected to fatigue loading, which might cause defects such as cracks within the bondline. Thus, timely detection, localization, and size estimation of such defects are crucial for ensuring structural safety. …”
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Research on Concrete Crack Damage Assessment Method Based on Pseudo-Label Semi-Supervised Learning by Ming Xie, Zhangdong Wang, Li’e Yin

“…To address the inefficiency of traditional concrete crack detection methods and the heavy reliance of supervised learning on extensive labeled data, in this study, an intelligent assessment method of concrete damage based on pseudo-label semi-supervised learning and fractal geometry theory is proposed to solve two core tasks: one is binary classification of pixel-level cracks, and the other is multi-category assessment of damage state based on crack morphology. …”
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Analysis of Adaptive Fuzzy Technique for Multiple Crack Diagnosis of Faulty Beam Using Vibration Signatures by Amiya Kumar Dash

“…This paper discusses the multicrack detection of structure using fuzzy Gaussian technique. …”
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Crack Identification for Bridge Condition Monitoring Combining Graph Attention Networks and Convolutional Neural Networks by Feiyu Chen, Tong Tong, Jiadong Hua, Chun Cui

“…In this paper, we present a novel approach for crack detection and bridge condition monitoring by integrating convolutional neural networks (CNNs) with graph attention networks (GATs). …”
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Crack Tracking in Small-Diameter Metal Pipe Using Controlled Motor Vibrations and Flexible Sensor by Md Rabiul Awal, Nurul Atiqah Tajulmar, Muhammad Syarifuddin Yahya, Nurafnida Afrizal, Wan Hafiza Wan Hassan, Nurul Adilah Abdul Latiff, Shakir Saat

“…Thus, the feasibility of using a motor as a vibration source for metal pipe crack detection is studied in this work. To achieve this, a DC motor is placed on one side of the metal pipe and used as the vibration source. …”
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ETAFHrNet: A Transformer-Based Multi-Scale Network for Asymmetric Pavement Crack Segmentation by Chao Tan, Jiaqi Liu, Zhedong Zhao, Rufei Liu, Peng Tan, Aishu Yao, Shoudao Pan, Jingyi Dong

“…Accurate segmentation of pavement cracks from high-resolution remote sensing imagery plays a crucial role in automated road condition assessment and infrastructure maintenance. …”
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Fracture behavior of SiCf/SiC cladding with prefabricated cracks on the inner/outer wall by Ze-Xi Zhang, Chuang-Tian Zhan, Yang-Qing Liu, Zhen-Quan Liang, Wei-Ming Guo, Shi-Kuan Sun, Yun Li, Li-Xiang Wu, Jia-Xiang Xue, Hua-Tay Lin

“…The specimen with a prefabricated crack on the outer wall fractured in no specific direction. …”
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A comparative study of shear crack growth mechanisms in concrete through acoustic emission analysis by Lian Huang, Junjie Deng, Duo Hu, Xiaolong Li, Yun Liu, Weihua Zhu

“…The research findings establish a quantitative framework for using AE technology to detect shear cracks and monitor real-time damage evolution in concrete structures.…”
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