University of New South Wales Reports Findings in Machine Learning (Advancing Se rvice Life Estimation of Reinforced Concrete Considering the Coupling Effects of Multiple Factors: Hybridized Physical Testing and Machine Learning Approach)

Robotics & Machine Learning Daily News2024，Issue(MAY.3) ：56-57.

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University of New South Wales Reports Findings in Machine Learning (Advancing Se rvice Life Estimation of Reinforced Concrete Considering the Coupling Effects of Multiple Factors: Hybridized Physical Testing and Machine Learning Approach)

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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 reportingfrom Sydney, Australia, by NewsRx journalists, research stated, “Chloride-induced corrosion is the primaryfactor that significantly impacts the service life of reinforced concrete structures. T herefore, it is crucial toinvestigate the transportation behavior of chloride i ons within concrete structures to accurately estimatetheir service life.”

Key words

Sydney/Australia/Australia and New Zea land/Anions/Chlorides/Cyborgs/Emerging Technologies/Hydrochloric Acid/Mach ine Learning/University of New South Wales

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出版年

2024

Robotics & Machine Learning Daily News

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