Mix Proportions of Tunnel Lining Concrete in Consideration of the Resistance of Scaling

Takahashi, Kei; Oyamada, Tetsuya; Hanehara, Shunsuke; Xiaogi, Fan

doi:10.14250/cement.70.378

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e quality of the lining material itself determines whether the lining is prone to layering and peeling. Even if the quality of the lining is affected by water leakage, external forces, and other factors, it is difficult to cause disease [11,12]. e influence of external factors on the lining includes leakage water erosion, chemical corrosion, external force, etc.…”

Section: Classification and Causes Of Tunnel Lining Diseasesmentioning

confidence: 99%

Intelligent Edge Computing Detection Vehicle and Detection Method Based on Tunnel Lining Concrete

You

Yan

Yang

2022

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

In recent years, with the rapid development of tunnel construction in China, the length of tunnels has continued to increase, and the consequent tunnel disease detection has attracted more and more attention from maintenance departments. Among many diseases, lining cracks are the most common, which directly reflect the stress of the lining, which is very important for the study of tunnel diseases. In view of the current detection status and detection requirements, this article has carried out research work on a vehicle-mounted tunnel lining crack detection system based on image processing. Due to the grayscale difference between the cracks on the lining surface and the lining background, these differences lead to significant crack edge features and relatively stable detection. Therefore, this article designs an intelligent edge algorithm system for cracks on the lining surface to detect the edges of the image, extract the edges of cracks, and remove useless interference information in the lining background. The experiment proves that the paired sample t-test can find that after the experiment is over, the P value of different edge detection operators for global threshold segmentation is less than 0.05, which has a significant difference. The Canny, Deriche, and Lanser filters are relatively strong, and the extracted crack edge noise is relatively small. Finally, the parameter values of the crack image are calculated, and the calculated values of the crack parameters provide a scientific and reliable basis for tunnel safety evaluation.

show abstract

Section: Classification and Causes Of Tunnel Lining Diseasesmentioning

confidence: 99%