Robotics & Machine Learning Daily News2024,Issue(Nov.28) :130-131.

Studies from Shanghai Jiao Tong University Further Understanding of Computationa l Intelligence (Computational Intelligence for Modeling the Rheological Properti es of the Developed Hydrated Lime-based Alkali-activated Materials)

对上海交通大学学习的再认识计算智能(计算机智能)水化产物流变性能的模拟石灰基碱激发材料

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :130-131.

Studies from Shanghai Jiao Tong University Further Understanding of Computationa l Intelligence (Computational Intelligence for Modeling the Rheological Properti es of the Developed Hydrated Lime-based Alkali-activated Materials)

对上海交通大学学习的再认识计算智能(计算机智能)水化产物流变性能的模拟石灰基碱激发材料

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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-计算智能的研究结果在一份新的报告中讨论。根据来自中华人民共和国单海的新闻,由NewsRx记者,研究声明:“碱激发材料(AAMs)作为一种可行的替代材料已经引起了人们的关注。”波特兰水泥混凝土。AAM性能的关键因素是其流变性能,影响工作性和可泵性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Computational Int elligence are discussed in a new report. Accordingto news originating from Shan ghai, People’s Republic of China, by NewsRx correspondents, researchstated, “Th e development of alkali-activated materials (AAMs) has gained attention as a sus tainable alternativeto Portland cement-based concrete. A key factor in AAM perf ormance is its rheological behavior,which influences workability and pumpabilit y.”

Key words

Shanghai/People’s Republic of China/As ia/Computational Intelligence/Emerging Technologies/Machine Learning/Shangha I Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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