首页|Reports from Xi’an Jiaotong Liverpool University Provide New Insightsinto Machi ne Learning (Stress-strain Behaviour of AxiallyLoaded Frp-confined Natural and Recycled Aggregate Concrete UsingDesign-oriented and Machine Learning Approache s)
Reports from Xi’an Jiaotong Liverpool University Provide New Insightsinto Machi ne Learning (Stress-strain Behaviour of AxiallyLoaded Frp-confined Natural and Recycled Aggregate Concrete UsingDesign-oriented and Machine Learning Approache s)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Jiangsu, People’s Re public of China, by NewsRx editors, research stated, “The reuse ofrecycled aggr egates (RA) in fresh concrete helps to address construction waste management and reducescarbon footprints; however, the resulting recycled aggregate concrete ( RAC) possesses some undesirableproperties for structural applications. While st rengthening RAC with fibre-reinforced polymers (FRP) helpsto mitigate these iss ues, predicting the stress-strain behaviours of FRP-confined RAC (FRCRAC) and natural aggregate concrete (FRCNAC) can be complex.”Financial supporters for this research include Xi’an Jiaotong-Liverpool Universi ty, Nigerian PetroleumTechnological Development Fund (PTDF) at Xi’an Jiaotong-L iverpool University.
JiangsuPeople’s Republic of ChinaAsi aCyborgsEmergingTechnologiesMachine LearningXi’an Jiaotong Liverpool Un iversity
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