Robotics & Machine Learning Daily News2024,Issue(Dec.30) :61-62.

Studies from Hunan University Provide New Data on Machine Learning (Predicting B ond Strength of Corroded Reinforced Concrete After High-temperature Exposure: a Stacking Model and Feature Selection)

Robotics & Machine Learning Daily News2024,Issue(Dec.30) :61-62.

Studies from Hunan University Provide New Data on Machine Learning (Predicting B ond Strength of Corroded Reinforced Concrete After High-temperature Exposure: a Stacking Model and Feature Selection)

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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 Hunan, People’s Republic of China, by NewsRx editors, research stated, “The bond strength betweenconcrete and steel reinforcement bars is crucial for determining the ultimate loadcarryin g capacity andserviceability of reinforced concrete (RC) structures. However, r ebar corrosion and exposure to hightemperatures significantly affect this bond strength.”

Key words

Hunan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Hunan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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