Robotics & Machine Learning Daily News2024,Issue(Nov.8) :31-32.

Mansoura University Reports Findings in Machine Learning (Circular rubber aggreg ate CFST stub columns under axial compression: prediction and reliability analys is)

曼苏拉大学报告机器学习的发现(循环)橡胶集料混凝土轴压短柱:预测和可靠性分析

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :31-32.

Mansoura University Reports Findings in Machine Learning (Circular rubber aggreg ate CFST stub columns under axial compression: prediction and reliability analys is)

曼苏拉大学报告机器学习的发现(循环)橡胶集料混凝土轴压短柱:预测和可靠性分析

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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News Rx记者从埃及曼苏拉报道,研究称,“广泛的研究支持使用提高钢管结构完整性的橡胶集料混凝土(RBAC),即RB ac填充钢管(RCFST)。然而,目前评估混凝土轴心受压性能的设计规范圆形短柱RCFST(CS-RCFST)受到限制。

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 from Mansoura, Egypt, by News Rx journalists, research stated, “Extensive studies support usingsteel tubes to enhance the structural integrity of rubber aggregate concrete (RBAC), namely RB AC-filled steel tubes (RCFST). However, current design codes for assessing the a xial compressive behaviour ofcircular stub RCFST (CS-RCFST) columns are limited .”

Key words

Mansoura/Egypt/Africa/Cyborgs/Emergi ng 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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