Research from Central South University in the Area of Machine Learning Published (Study on the spatiotemporal evolution and prediction of internal porosity in c oncrete specimens under sulfate attack based on machine learning models)

中南大学在机械领域的研究学习出版（时空演化与预测研究硫酸盐作用下混凝土内部孔隙率的基于机器学习模型的攻击

Robotics & Machine Learning Daily News2024，Issue(Nov.28) ：162-163.

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Research from Central South University in the Area of Machine Learning Published (Study on the spatiotemporal evolution and prediction of internal porosity in c oncrete specimens under sulfate attack based on machine learning models)

中南大学在机械领域的研究学习出版（时空演化与预测研究硫酸盐作用下混凝土内部孔隙率的基于机器学习模型的攻击

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一项关于人工智能的新研究现在可用。根据消息来源《新闻周刊》编辑在《中国人民共和国长沙》发表的研究报告中指出：“混凝土结构”由于硫酸盐侵蚀，导致孔隙度变化。理解下孔隙演化硫酸盐侵蚀通过硅烷等防护涂层帮助提高混凝土耐久性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom Changsha, People’s Republi c of China, by NewsRx editors, the research stated, “Concrete structuresdeterio rate due to sulfate attack, leading to changes in porosity. Understanding porosi ty evolution undersulfate attack helps improve concrete durability through prot ective coatings like silane.”

Key words

Central South University/Changsha/Peop le’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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