首页|Research from Central South University in the Area of Machine Learning Published (Study on the spatiotemporal evolution and prediction of internal porosity in c oncrete specimens under sulfate attack based on machine learning models)
Research from Central South University in the Area of Machine Learning Published (Study on the spatiotemporal evolution and prediction of internal porosity in c oncrete specimens under sulfate attack based on machine learning models)
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 – A new study on artificial intelligence is now available. According to news originatingfrom Changsha, People’s Republi c of China, by NewsRx editors, the research stated, “Concrete structuresdeterio rate due to sulfate attack, leading to changes in porosity. Understanding porosi ty evolution undersulfate attack helps improve concrete durability through prot ective coatings like silane.”
Central South UniversityChangshaPeop le’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
