Effect of crack template structure morphology on electromagnetic shielding efficiency and visual performance of metal mesh optical window by Liqing Yang, Yongmao Guan, Fei Gao, Rui Wan, Pengfei Wang

“…Infrared spectroscopy revealed that hydrogen bonding in the solvents influenced crack formation, resulting in narrower cracks and smaller periods. …”
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Experimental Study on the Damage and Crack Evolution Characteristics of TS-RCR Structural Bodies under Cyclic Loading and Unloading by Xiaoping Xie, Shanle Chen, Xinqiu Fang, Chengwei Liu, Hongyang Liu, Yuqi Huang, Jiangang Liu, Yanfen Wang

“…Four representative TS-RCR (three-soft rock-coal-rock) structural bodies were selected according to the lithofacies analysis of coal measures in the Xiangshui Coal Mine, Guizhou, China, to analyze the mechanical properties, internal structure damage characteristics, and crack evolution law of the TS-RCR structural body composed of a soft roof, a soft floor, and soft coal seams. …”
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Temperature and Crack Measurement Using Distributed Optic-Fiber Sensor Based on Raman Loop Configuration and Fiber Loss by Jian Li, Tao Yu, Mingjiang Zhang, Jianzhong Zhang, Lijun Qiao, Tao Wang

“…We proposed and experimentally demonstrated a distributed optic-fiber sensor based on the Raman loop configuration and fiber loss characteristic for detecting the temperature and structure's crack. …”
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Transcriptome sequencing reveals novel Citrus bark cracking viroid (CBCVd) variants from citrus and their molecular characterization. by Yafei Wang, Sagheer Atta, Xuefeng Wang, Fangyun Yang, Changyong Zhou, Mengji Cao

“…Citrus bark cracking viroid (CBCVd), previously called Citrus viroid IV, belongs to the genus Cocadviroid within the family Pospiviroidae. …”
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Corrosion characteristics and critical corrosion depth model of reinforcement at concrete cover cracking in an electrochemical accelerated corrosion environment by Haiyang Luan, Yingfang Fan, Lihua Zhao, Xiaolin Ju, Surendra P. Shah

“…The relationship between corrosion characteristics and electrochemical indicators detected by the half-cell potential method is unclear. …”
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Computer Vision-Based Concrete Crack Identification Using MobileNetV2 Neural Network and Adaptive Thresholding by Li Hui, Ahmed Ibrahim, Riyadh Hindi

“…In addition, an advanced algorithm was developed to detect cracks and evaluate crack widths in high-resolution images. …”
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Discussion on Ultrasonic Inspection Intervals Based on Fatigue Crack Growth Life Analysis of Axle for CRH2A EMU by Menghong YE

“…Furthermore, based on the unilateral semi-elliptical surface crack existing at the weakest part of the axle and the maximum stress amplitude, the fatigue crack growth life of CRH2A EMU axles was calculated, with comparison and analysis of the ultrasonic flaw detection cycle of the axles, it was proved feasible to optimize the current ultrasonic flaw detection interval.…”
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An Improved Generative Adversarial Network-Based and U-Shaped Transformer Method for Glass Curtain Crack Deblurring Using UAVs by Jiaxi Huang, Guixiong Liu

“…Drones have emerged as a critical tool for the detection of high-altitude glass curtain cracks. However, their utility is often compromised by vibrations and other environmental factors that can induce motion blur, compromising image quality and the accuracy of crack detection. …”
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A novel damage index extracted from frequency response of cracked Timoshenko beam subjected to moving harmonic load by Nguyen Tien Khiem, Phi Thi Hang

“…Numerical analysis shows that SAC is much more sensitive to crack than natural frequencies and can be used as a novel damage index for crack detection in beam using moving load. …”
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Mechanism of rock burst vertical damage induced by layered crack structures of the steeply inclined extremely thick coal seams by Taoping Zhong, Zhenlei Li, Dazhao Song, Majid Khan, Xueqiu He, Zemin Chen, Chao Zhou, Xudong Liu, Panfei Feng

“…The vertical stress in SIETCS is minimal, while horizontal stress is concentrated, leading to the formation of layered crack structures (LCS) that distribute above and below the roadways. …”
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Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches by Mehmet Yilmaz, Erkut Yalcin, Fatih Demir, Ahmet Munir Ozdemir, Muhammed Atar, Aysegul Gunes, Beyza Furtana Yalcin, Ertugrul Cambay

“…This study develops a deep learning-based automated system for detecting and segmenting earthquake-induced asphalt cracks, offering a rapid and reliable solution for post-disaster road condition assessments. …”
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Crack-Based Estimation of Seismic Damage Level in Confined Masonry Walls in the Lima Metropolitan Area Using Deep Learning Techniques by Miguel Diaz, Luis Lopez, Michel Amancio, Italo Inocente, Jhianpiere Salinas, Sergio Isuhuaylas, Erika Flores, Edisson Moscoso

“…A high-accuracy crack measurement technique was developed, combining a convolutional neural network to generate a binary crack mask and a binary search algorithm to extract polylines and convert them into length measurements, achieving a detection accuracy of 78%. …”
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Evaluation of dentinal crack formation during post space preparation using different fiber post systems with micro-computed tomography by Ayşe Nur Kuşuçar, Damla Kırıcı

“…Conclusion Completed and advanced cracks were observed in all groups, while no newly formed cracks were detected in the RelyX-1/2 group. …”
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False Piezoresistive Effect Detection by Jerzy Kalenik, Wojciech Stęplewski, Janusz Borecki, Aneta Chołaj, Mirosław Kozłowski, Tomasz Serzysko

“…It is so called false piezoresistive effect. The cracks may cause instability of the sensor. Visual detection of the cracks is hardly possible because of their small dimensions. …”
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Fracture precursor phenomena in marble specimens under uniaxial compression by means of Acoustic Emission data by Dimos Triantis, Stavros K. Kourkoulis

“…Marble specimens are subjected to a specially designed stepwise loading protocol, in an attempt to detect fracture precursor phenomena taking advantage of Acoustic Emission (AE) data. …”
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Fracture precursor phenomena in marble specimens under uniaxial compression by means of Acoustic Emission data by Dimos Triantis, Stavros Kourkoulis

“…Marble specimens are subjected to a specially designed stepwise load­­ing protocol, in an attempt to detect fracture precursor phenomena taking advantage of Acoustic Emission (AE) data. …”
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SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention by Xiyin Chen, Yonghua Shi, Junjie Pang

“…Crack segmentation is essential for structural health monitoring and infrastructure maintenance, playing a crucial role in early damage detection and safety risk reduction. …”
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Influence of Notch Sensitivity and Crack Initiation Site on Low Cycle Fatigue Life of Notched Components under Multiaxial Non-proportional Loading by Stefano Bressan, Fumio Ogawa, Takamoto Itoh, Filippo Berto

“…The experimental results evidenced a reduction of fatigue life due to non-proportional loading. Furthermore, the crack initiation site has been detected to be moved from the notch tip in the case of steel for high values of notch radius under non-proportional loading. …”
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Influence of notch sensitivity and crack initiation site on low cycle fatigue life of notched components under multiaxial non-proportional loading by Stefano Bressan, Fumio Ogawa, Takamoto Itoh, Filippo Berto

“…The experimental results evidenced a reduction of fatigue life due to non-proportional loading. Furthermore, the crack initiation site has been detected to be moved from the notch tip in the case of steel for high values of notch radius under nonproportional loading. …”
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Effect of Steel Fiber on First-Cracking Behavior of Ultra-High-Performance Concrete: New Insights from Digital Image Correlation Analysis by Xing Lu, Lei Tu, Chengjun Tan, Hua Zhao

“…This study utilizes an improved Digital Image Correlation (DIC) technique to detect cracks and directly determine the first-cracking strength. …”
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