首页|Studies from Thammasat University Yield New Information about Machine Learning ( Regression Machine Learning Models for Probabilistic Stability Assessment of Bur ied Pipelines In Spatially Random Clays)
Studies from Thammasat University Yield New Information about Machine Learning ( Regression Machine Learning Models for Probabilistic Stability Assessment of Bur ied Pipelines In Spatially Random Clays)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting outof Pathum Thani, Thailand, by NewsRx editors, research stated, “The uplift capacity of pipelines buried inclay is a critical aspect of their structural integrity, affecting their stability and pe rformance under varyingconditions. This study investigates the probabilistic so lutions of pipeline stability considering the spatialvariability of soil streng th by integrating random field theory and adaptive finite element limit analysis ,known as random adaptive finite element limit analysis (RAFELA).”
Pathum ThaniThailandAsiaCyborgsE merging TechnologiesMachine LearningThammasat University
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