首页|Researchers from University of Strathclyde Report Recent Findingsin Machine Learning (Machine Learning-based Reliability Analysisof Structural Concrete Cracking Considering Realistic Nonuniform Corrosion Development)
Researchers from University of Strathclyde Report Recent Findingsin Machine Learning (Machine Learning-based Reliability Analysisof Structural Concrete Cracking Considering Realistic Nonuniform Corrosion Development)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsreporting originating in Glasgow, United Kingdom, by NewsRx journalists, research stated, “Corrosioninducedconcrete cracking significantly weakens the integrity, serviceability and durability of reinforcedconcrete (RC) structures. Existing reliability analysis of corrosion-induced concrete cracking often considersthe corrosion of reinforcement as a uniform process, in favor of implementing the analytical formulation ofcorrosion rust progression.”
GlasgowUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Strathclyde
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