首页|New Machine Learning Study Results Reported from School of Aerospace (Prediction of Allowable Compression Load for Notched Composite Laminates Combining Fea Sim ulation and Machine Learning)
New Machine Learning Study Results Reported from School of Aerospace (Prediction of Allowable Compression Load for Notched Composite Laminates Combining Fea Sim ulation and Machine Learning)
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 - New research on Machine Learning is th e subject of a report. According to newsreporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Determiningthe allowable co mpression load (ACL) of notched composite laminates (NCL) requires consideration ofbuckling, intra- and inter-laminar damage, which is a costly and repetitive task due to the high dimensionaland nonlinear relation of ACL to the numerous d esign variables. In this work, a high-throughput finiteelement analysis (FEA) a nd machine learning (ML) combined approach is proposed to predict ACL oflaminat es.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSchool of Aerospace
NETL
NSTL
