Study Findings on Machine Learning Are Outlined in Reports from Hunan University [Characterizing Damage Evolution In Fiber Reinforced Composi tes Using In-situ X-ray Computed Tomography, Deep Machine Learning and Digital V olume Correlation (Dvc)]

Robotics & Machine Learning Daily News2024，Issue(Jul.30) ：38-39.

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Study Findings on Machine Learning Are Outlined in Reports from Hunan University [Characterizing Damage Evolution In Fiber Reinforced Composi tes Using In-situ X-ray Computed Tomography, Deep Machine Learning and Digital V olume Correlation (Dvc)]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Changsha, People’s Republic of China, by NewsRx editors, research stated, “In-situ X-ray computedtomograph y (CT) techniques enable to examine microstructural evolution of composite mater ials continuouslyand nondestructively under loading for better understanding th e initiation and propagation ofmicroscopic damages. This study explores the ten sile damage behavior of notched woven carbon/epoxycomposites under successive l oading process.”

Key words

Changsha/People’s Republic of China/As ia/Computed Tomography/Cyborgs/Emerging Technologies/Imaging Technology/Mac hine Learning/Technology/Hunan University

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出版年

2024

Robotics & Machine Learning Daily News

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