The paper analyzed the phyllite properties in the highway from Shiyan-Tianshui the eastern An-kang 25th section through the related indoor and outdoor testing. As the on-site filler CBR value didnt meet highway subgrade filling on the filler mechanical properties, and it should be improved with cement. The engineering and compaction properties were analyzed under different cement doses and gradation combinations, whose result was shown that selecting the improved phyllite gradation composition of 5% cement content and 60% stone content was the optimal. In that it could not only meet subgrade strength design requirement and the on-site application, but also be the most economical and reasonable.
In the current industrial production, as steel weld X-ray images are low contrasted and noisy, the efficiency and precision can’t be both ensured. This paper has studied three different edge detection algorithms and found the most suitable one to detect weld defects. Combined with this edge detection algorithm, we proposed a new weld defects detection method. This method uses defect features to find the defects in edge images with morphological processing. Compared to the traditional methods, the method has ensured detection quality of weld defects detection.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.