首页|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)
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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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.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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