Robotics & Machine Learning Daily News2024,Issue(Jun.27) :103-104.

Findings on Machine Learning Reported by Investigators at Dong- A University (She ar Strength Model of Frp-reinforced Concrete Beams Without Shear Reinforcement)

东阿大学研究人员报告的机器学习发现(FRP钢筋混凝土无剪钢筋梁强度模型)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :103-104.

Findings on Machine Learning Reported by Investigators at Dong- A University (She ar Strength Model of Frp-reinforced Concrete Beams Without Shear Reinforcement)

东阿大学研究人员报告的机器学习发现(FRP钢筋混凝土无剪钢筋梁强度模型)

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者在岘港Vie Tnam的新闻报道,研究表明:“目前评估纤维增强Polymer(FRP)钢筋混凝土梁抗剪强度的设计规范主要依靠半经验方法,通过没有可靠的理论背景的校准。这种方法可能导致高估或低估,导致显著的散射强度预测。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Da Nang, Vie tnam, by NewsRx journalists, research stated, “The current design codes for eval uating the shear strength of concrete beams reinforced with fiber-reinforced pol ymer (FRP) bars predominantly rely on a semi-empirical approach through test dat a calibration without a robust theoretical background. This approach may lead to either overestimation or underestimation, resulting in significant scattering i n strength predictions.”

Key words

Da Nang/Vietnam/Asia/Cyborgs/Emergin g Technologies/Machine Learning/Dong-A University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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