首页|Reports from Tongji University Describe Recent Advances in Machine Learning [Cross-scale Analysis for the Thermo-hydromechanical (Thm) Effects On the Mechan ical Behaviors of Fractured Rock: Integrating Mesostructure-based Dem Modeling a nd …]
Reports from Tongji University Describe Recent Advances in Machine Learning [Cross-scale Analysis for the Thermo-hydromechanical (Thm) Effects On the Mechan ical Behaviors of Fractured Rock: Integrating Mesostructure-based Dem Modeling a nd …]
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 Machine Learning is now available. According to news originatingfrom Shanghai, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “The excavationprocess induces the emergence of damage zones in the on-site engineering rock masses, significan tlyaffecting the parameter evaluation of surrounding rock masses. Therefore, an in-depth understanding ofthe thermo-hydro-mechanical (THM) effects on the cros s-scale failure process of fractured rock becomesprogressively crucial in natur al energy exploitation projects.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningTongji University
NETL
NSTL
