Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves by Bo Xing, Zujun Yu, Xining Xu, Liqiang Zhu, Hongmei Shi

“…By setting a reasonable vibration coefficient and orthogonal coefficient, the mode with the highest sensitivity to cracks is selected for crack detection. Taking a vertical crack on the rail bottom as an example, mode 1 at a frequency of 60 kHz is selected as the most suitable detection mode. …”
Get full text

Enhancing Crack Segmentation Network with Multiple Selective Fusion Mechanisms by Yang Chen, Tao Yang, Shuai Dong, Like Wang, Bida Pei, Yunlong Wang

Subjects: “…crack detection…”
Get full text

Automated Crack Width Measurement in 3D Models: A Photogrammetric Approach with Image Selection by Huseyin Yasin Ozturk, Emanuele Zappa

Subjects: “…crack detection…”
Get full text

Transfer Learning Model for Crack Detection in Side SlopesBased on Crack-Net by Na Li, Yilong Zhang, Qing Zhang, Shaoguang Zhu

Subjects: “…crack detection…”
Get full text

CrackVision: Effective Concrete Crack Detection With Deep Learning and Transfer Learning by Abdulrahman A. Alkannad, Ahmad Al Smadi, Shuyuan Yang, Mutasem K. Al-Smadi, Moeen Al-Makhlafi, Zhixi Feng, Zhenlong Yin

Subjects: “…Concrete crack detection…”
Get full text

Impact of Image Preprocessing and Crack Type Distribution on YOLOv8-Based Road Crack Detection by Luxin Fan, Saihong Tang, Mohd Khairol Anuar b. Mohd Ariffin, Mohd Idris Shah Ismail, Xinming Wang

Subjects: Get full text

Manipulating Cracks with Selective Drying in Binary Solvent Mixture Suspensions by Masato Yamamura

“…This unique scaling suggests that selective drying allows the retention of a low-surface-tension solvent in the suspension, and thereby creating crack-free particulate films.…”
Get full text

Fatigue crack growth in additive manufactured products by A. Riemer, H. A. Richard, J.-P. Brüggemann, J.-N. Wesendahl

“…The first important issue in this work was to analyse the fatigue crack growth (FCG) in titanium alloy Ti-6-4 and stainless steel 316L processed by SLM. …”
Get full text

Clustering approach for crack detection in GPR data: Influence of infilling material on detectability by Mercedes Solla, Norberto Fernández, Ahmed Elseicy, Jorge Pais

Subjects: Get full text

Crack Detection of Fan Blade Based on Natural Frequencies by Mengyao Yu, Sheng Fu, Yinbo Gao, Hao Zheng, Yonggang Xu

“…The damage of a blade was detected using the changes in natural frequencies. …”
Get full text

Diagnostic Accuracy of Methods Used to Detect Cracked Teeth by Veronica Kindaro, Huon Molland, Sara Shirbegi, Paul Renner, Unni Krishnan

“…Experienced dentists were more accurate in detecting cracked teeth. Conclusions Visual diagnostic methods cannot definitively diagnose cracks. …”
Get full text

Operational Modal Analysis for Crack Detection in Rotating Blades by Jarosław BEDNARZ

Get full text

Addressing Data Scarcity in Crack Detection via CrackModel: A Novel Dataset Synthesis Approach by Jian Ma, Yuan Meng, Weidong Yan, Guoqi Liu, Xueyan Guo

Subjects: Get full text

Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach by Reshma Ahmed Swarna, Muhammad Minoar Hossain, Mst. Rokeya Khatun, Mohammad Motiur Rahman, Arslan Munir

“…Scientific knowledge of image-based crack detection methods is limited in understanding their performance across diverse crack sizes, types, and environmental conditions. …”
Get full text

Selection of suitable treatment for cracking in flexible pavements using optimization models by Ahmed Mancy Mosa, Rana A. Yousif, Areej M. Abdulwahab, Abbas F. Jasim

“…However, selection of the optimum treatment is not that easy as it is affected by numerous inherent and external parameters. …”
Get full text

Selection of suitable treatment for cracking in flexible pavements using optimization models by Ahmed Mancy Mosa, Rana A. Yousif, Areej M. Abdulwahab, Abbas F. Jasim

“…However, selection of the optimum treatment is not that easy as it is affected by numerous inherent and external parameters. …”
Get full text

Automated Surface Crack Identification of Reinforced Concrete Members Using an Improved YOLOv4-Tiny-Based Crack Detection Model by Sofía Rajesh, K. S. Jinesh Babu, M. Chengathir Selvi, M. Chellapandian

Subjects: “…crack detection…”
Get full text

Pavement crack detection based on depth-supervision FRRN model by Lei Wang, Qiangqiang Feng, Jiao Yan

“…Through experimental validation using a dataset comprising 1565 images of damaged pavements, the result demonstrate that DSFRRN outperforms the original FRRN in terms of both F1 score and Jaccard index, accurately delineating cracks. Consequently, the automated pavement damage detection method presented herein facilitates cost-effective and efficient pavement inspection, contributing to the safeguarding of roadway surfaces and transportation infrastructure.…”
Get full text

Crack Detectability in Vertical Axis Cooling Pumps During Operation by N. Bachschmid, P. Pennacchi, E. Tanzi, P. Verrier, F. Hasnaoui, K. Aabadi

Get full text

An Enhanced Percolation Method for Automatic Detection of Cracks in Concrete Bridges by Qingfei Gao, Yu Wang, Jun Li, Kejian Sheng, Chenguang Liu

“…As cracks on concrete bridges become severer and more frequent, methods of detecting cracks on concrete bridges have aroused great concern. …”
Get full text