首页|Studies from Hunan University Provide New Data on Machine Learning (Predicting B ond Strength of Corroded Reinforced Concrete After High-temperature Exposure: a Stacking Model and Feature Selection)
Studies from Hunan University Provide New Data on Machine Learning (Predicting B ond Strength of Corroded Reinforced Concrete After High-temperature Exposure: a Stacking Model and Feature Selection)
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
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Hunan, People’s Republic of China, by NewsRx editors, research stated, “The bond strength betweenconcrete and steel reinforcement bars is crucial for determining the ultimate loadcarryin g capacity andserviceability of reinforced concrete (RC) structures. However, r ebar corrosion and exposure to hightemperatures significantly affect this bond strength.”
HunanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHunan University
NETL
NSTL
