Robotics & Machine Learning Daily News2024,Issue(Dec.3) :107-108.

Ho Chi Minh City University of Technology and Education Reports Findings in Mach ine Learning (Optimizing flexural strength of RC beams with recycled aggregates and CFRP using machine learning models)

胡志明市科技教育大学报告了机器学习的结果(使用机器学习模型优化再生骨料和碳纤维加固钢筋混凝土梁抗弯强度)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :107-108.

Ho Chi Minh City University of Technology and Education Reports Findings in Mach ine Learning (Optimizing flexural strength of RC beams with recycled aggregates and CFRP using machine learning models)

胡志明市科技教育大学报告了机器学习的结果(使用机器学习模型优化再生骨料和碳纤维加固钢筋混凝土梁抗弯强度)

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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记者发源于越南胡志明市,研究称:“这篇论文钢筋混凝土梁极限承载力试验研究以及先进的机器学习预测模型。主要的问题是围绕着一个全面的理解如何改变建筑材料的组成,特别是再生骨料和碳纤维增强聚合物(C FRP)影响混凝土梁的结构性能。

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 newsoriginating from Ho Chi Minh City, Viet nam, by NewsRx correspondents, research stated, “This paperinvestigates the fle xural bearing behavior of reinforced concrete beams through experimental analysi sand advanced machine learning predictive models. The primary problem centers a round understandinghow varying compositions of construction materials, particul arly the inclusion of recycled aggregates andcarbon fiber-reinforced polymer (C FRP), affect the structural performance of concrete beams.”

Key words

Ho Chi Minh City/Vietnam/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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