Studies from Huazhong University of Science and Technology Have Provided New Dat a on Machine Learning [Strength Models of Near-surface Mounte d (Nsm) Fibre-reinforced Polymer (Frp) Shear-strengthened Rc Beams Based On Mach ine Learning Approaches]

华中科技大学的研究为机器学习提供了新的数据[基于机器学习方法的近表面贴壁D(Nsm)纤维增强聚合物(Frp)抗剪加固钢筋混凝土梁强度模型]

Robotics & Machine Learning Daily News2024，Issue(Jun.7) ：54-54.

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Studies from Huazhong University of Science and Technology Have Provided New Dat a on Machine Learning [Strength Models of Near-surface Mounte d (Nsm) Fibre-reinforced Polymer (Frp) Shear-strengthened Rc Beams Based On Mach ine Learning Approaches]

华中科技大学的研究为机器学习提供了新的数据[基于机器学习方法的近表面贴壁D(Nsm)纤维增强聚合物(Frp)抗剪加固钢筋混凝土梁强度模型]

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。据《中华人民共和国湖北新闻报》报道，“采用近表面贴装(NSM)纤维增强聚合物(F RP)筋/带对(RC)混凝土梁进行抗剪加固已成为国内外研究的热点，但由于破坏机理复杂，影响参数众多，NSM FRP抗剪加固梁的抗剪承载力难以预测。”本研究的资助单位包括国家自然科学基金(NSFC)、湖北省重点研究开发项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Hubei, People’s Republic of China, b y NewsRx journalists, research stated, “The shear strengthening of reinforced co ncrete (RC) beams using near -surface mounted (NSM) fibre -reinforced polymer (F RP) bars/strips has gained substantial research attention worldwide. However, ow ing to the complex failure mechanisms and many influencing parameters, the shear capacities of NSM FRP shear -strengthened beams are difficult to predict.” Funders for this research include National Natural Science Foundation of China ( NSFC), Key Research and Development Program of Hubei Province of China.

Key words

Hubei/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Huazhong University of Scienc e and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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