首页|Studies from McMaster University Yield New Data on Machine Learning (Explainable Machine Learning Model for Predicting Punching Shear Strength of Frc Flat Slabs)
Studies from McMaster University Yield New Data on Machine Learning (Explainable Machine Learning Model for Predicting Punching Shear Strength of Frc Flat Slabs)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Elsevier
Investigators publish new report on Machine Learning. According to news reporting originating in Hamilton, Canada, by NewsRx journalists, research stated, “Reinforced concrete slabs are vulnerable to punching shear failure at the slab-column joint, which can initiate catastrophic progressive collapse. The addition of steel fibers in the concrete matrix has emerged as an effective strategy to mitigate such progressive failure.”
HamiltonCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningMcMaster University
NETL
NSTL
Elsevier
