Robotics & Machine Learning Daily News2024,Issue(Jul.16) :15-16.

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)

Robotics & Machine Learning Daily News2024,Issue(Jul.16) :15-16.

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)

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Abstract

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.”

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/School of Aerospace

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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