首页|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)
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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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.”
SydneyAustraliaAustralia and New Zea landAnionsChloridesCyborgsEmerging TechnologiesHydrochloric AcidMach ine LearningUniversity of New South Wales
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