Surface-defect detection is crucial for assuring the quality of strip-steel manufacturing. Strip-steel surface-defect requires defect classification and precision localization, which a challenge in real-world applications. In this research, we propose an improved PP-YOLOE-m network detecting surface defects. First, data augmentation performed to avoid overfitting problem improve model’s capacit...

Defect detection on the surface of steel strip is essential for quality assurance strip. Precise localization and classification, two significant tasks defect detection, still need to be completed due diversity scales. In this paper, a residual atrous spatial pyramid pooling (RASPP) module first designed enrich multi-scale information feature maps increase receptive field maps. Secondly, double...

In this paper, the strip model developed by others and implemented in a Canadian Standard to model steel plate shear walls (SPSW) is used to develop, investigate, and quantify, through plastic analysis, the various possible collapse mechanisms of SPSW. Comparisons of experimentally obtained ultimate strengths of steel plate shear walls and those predicted by plastic analysis are given and reaso...

Neutron diffraction allows non-destructive testing of the bulk microstructure of mechanical components. The microstructures of horseshoe nails made through three different processes have been explored as a function of position along the nail. Despite all nails being made of similar plain low carbon steel and being process annealed after manufacture, the microstructures are far from the same. Na...