Robotics & Machine Learning Daily News2024,Issue(Dec.27) :24-25.

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)

Robotics & Machine Learning Daily News2024,Issue(Dec.27) :24-25.

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)

扫码查看

Abstract

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).”

Key words

Pathum Thani/Thailand/Asia/Cyborgs/E merging Technologies/Machine Learning/Thammasat University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文