Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Applied Sciences  /  Vol: 10 Par: 23 (2020)  /  Artículo
ARTÍCULO
TITULO

Crack Detection and Crack Length Measurement with the DC Potential Drop Method?Possibilities, Challenges and New Developments

Jürgen Bär    

Resumen

The direct current potential drop method (DCPDM) is widely used to determine the crack length in fatigue experiments. In practice, some special features of this method must be considered. Aside from general information on the experimental setup and calibration, some special features of the method, such as the influence of the ambient atmosphere and the application of the method to ferromagnetic materials, are presented and discussed. In addition, with the multiple potential drop measurement, a method is presented which improves the resolution of the DCPDM for detection of cracks and allows to determine crack initiation sites. The capabilities provided by this method are demonstrated on the basis of measurements undertaken on notched round bars and single edged notched specimens.

 Artículos similares

       
 
Alexey N. Beskopylny, Evgenii M. Shcherban?, Sergey A. Stel?makh, Levon R. Mailyan, Besarion Meskhi, Irina Razveeva, Alexey Kozhakin, Diana El?shaeva, Nikita Beskopylny and Gleb Onore    
The creation and training of artificial neural networks with a given accuracy makes it possible to identify patterns and hidden relationships between physical and technological parameters in the production of unique building materials, predict mechanical... ver más
Revista: Applied Sciences

 
Xinjian Xiang, Haibin Hu, Yi Ding, Yongping Zheng and Shanbao Wu    
This study proposes a GC-YOLOv5s crack-detection network of UAVs to work out several issues, such as the low efficiency, low detection accuracy caused by shadows, occlusions and low contrast, and influences due to road noise in the classic crack-detectio... ver más
Revista: Applied Sciences

 
Yifan Liu, Weiliang Gao, Tingting Zhao, Zhiyong Wang and Zhihua Wang    
The aim of this study is to enhance the efficiency and lower the expense of detecting cracks in large-scale concrete structures. A rapid crack detection method based on deep learning is proposed. A large number of artificial samples from existing concret... ver más
Revista: Applied Sciences

 
Xiaohu Zhang and Haifeng Huang    
Crack detection is an important task for road maintenance. Currently, convolutional neural-network-based segmentation models with attention blocks have achieved promising results, for the reason that these models can avoid the interference of lights and ... ver más
Revista: Applied Sciences

 
Yanjie Zhu, Weidong Xu, C. S. Cai and Wen Xiong    
After years of service, bridges could lose their expected functions. Considering the significant number of bridges and the adverse inspecting environment, the urgent requirement for timely and efficient inspection solutions, such as computer vision techn... ver más
Revista: Applied Sciences