Robotics & Machine Learning Daily News2024,Issue(Nov.25) :33-33.

Researchers from Dalian University Discuss Findings in Machine Learning (Quantit ative Investigation and Intelligent Forecasting of Thermal Conductivity In Lime- modified Red Clay)

大连大学的研究人员讨论机器学习的发现(石灰改性红粘土导热系数的定量调查和智能预测)

Robotics & Machine Learning Daily News2024,Issue(Nov.25) :33-33.

Researchers from Dalian University Discuss Findings in Machine Learning (Quantit ative Investigation and Intelligent Forecasting of Thermal Conductivity In Lime- modified Red Clay)

大连大学的研究人员讨论机器学习的发现(石灰改性红粘土导热系数的定量调查和智能预测)

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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-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx记者源于中华人民共和国大连的报道,Research称:“这是一个非常重要的事件。”本文探讨了石灰稳定红粘土这种高水敏性材料的工程应用,特别是在大连地区气候条件普遍存在的背景下。我们系统地研究含水量、干密度和冻融循环(在冻结温度下)的影响稳定土导热系数是分析土的关键参数受众多因素影响的温度场。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Dalian, People ’s Republic of China, by NewsRx journalists, research stated, “Thispaper delves into the engineering applications of lime-stabilized red clay, a highly water-s ensitive material,particularly in the context of the climatic conditions preval ent in the Dalian region. We systematicallyinvestigate the impact of water cont ent, dry density, and freeze-thaw cycles (with a freezing temperatureset at -10 degrees C) on the thermal conductivity of stabilized soil, a crucial parameter for analyzing soiltemperature fields that is influenced by numerous factors.”

Key words

Dalian/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Engineering/Machine Learning/Dalian Universi ty

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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