Robotics & Machine Learning Daily News2024,Issue(Jul.3) :88-88.

Studies from Moscow State University of Civil Engineering Add New Findings in th e Area of Machine Learning (Prediction of the loadbearing capacity of reinforce d concrete beams with a rectangular cross-section using the basic principles of ...)

莫斯科国立土木工程大学的研究在机器学习领域增加了新的发现(使用...的基本原理预测矩形截面钢筋混凝土梁的承载能力)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :88-88.

Studies from Moscow State University of Civil Engineering Add New Findings in th e Area of Machine Learning (Prediction of the loadbearing capacity of reinforce d concrete beams with a rectangular cross-section using the basic principles of ...)

莫斯科国立土木工程大学的研究在机器学习领域增加了新的发现(使用...的基本原理预测矩形截面钢筋混凝土梁的承载能力)

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摘要

由一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于人工智能的最新研究结果已经发表。根据NewsRx记者从Mos COW州立土木工程大学发出的新闻报道,研究表明,"考虑逐步实施机器学习算法来估计钢筋混凝土梁矩形截面的承载力"。新闻记者从莫斯科国立土木工程大学的研究中引用了一句话:“在这种情况下,预应力不被考虑。给出了基于分析模型确定强度的相关性。”以及线性回归方程的解。线性回归方程和分析模型获得的数据之间的MSE最小化被用作评估预测质量的指标。在考虑单一工作钢筋和正截面破坏塑性性质的情况下,给出了极限弯矩的初步预测。本文提出的ach在钢结构承载能力研究中具有应用前景。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting originating from Mos cow State University of Civil Engineering by NewsRx correspondents, research sta ted, “A step-by-step implementation of a machine learning algorithm for estimati ng the capacity of rectangular sections of reinforced concrete beams is consider ed.” The news reporters obtained a quote from the research from Moscow State Universi ty of Civil Engineering: “In this case, prestressing is not taken into account. Dependencies for strength determination based on analytical models are given, as well as the solution to the linear regression equation. The minimisation of the MSE between the data obtained from the linear regression equation and the analy tical model is used as a metric to assess the quality of the predictions. A prel iminary prediction of the ultimate moment is given in the case of considering a single working rebar and the plastic nature of normal section failure. The appro ach presented has prospects for use in the study of the load-bearing capacity of steel structures.”

Key words

Moscow State University of Civil Enginee ring/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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