Studies from Chinese Academy of Sciences in the Area of Machine Learning Describ ed (Machine Learning-based Determination of Mode Ii Translaminar Fracture Toughn ess of Composite Laminates From Simple V-notched Shear Tests)

Robotics & Machine Learning Daily News2024，Issue(Sep.2) ：26-26.

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Studies from Chinese Academy of Sciences in the Area of Machine Learning Describ ed (Machine Learning-based Determination of Mode Ii Translaminar Fracture Toughn ess of Composite Laminates From Simple V-notched Shear Tests)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Beijing, People’s R epublic of China, by NewsRx correspondents, research stated, “Thispaper present s a novel method for measuring the translaminar crack resistance curve of compos itelaminates under Mode II shear loading. A machine learning (ML)-based approac h is utilized to extract theinapparent information of the crack resistance curv e from the translaminar shear strength measurementsobtained from simple V-notch ed shear tests.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

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出版年

2024

Robotics & Machine Learning Daily News

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