通过机器学习对纤维加固混凝土梁的抗剪和抗弯强度进行基于性能的预测

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-02-23 DOI:10.1080/10168664.2024.2310520

Nadia Nassif Dr, M. Talha Junaid Dr, Khaled Hamad Prof., Zaid Al-Sadoon Dr., Salah Altoubat Prof., Mohamed Maalej Prof.

引用次数: 0

摘要

要准确预测钢筋混凝土（RC）和纤维增强混凝土（FRC）梁的抗剪和抗弯强度，就必须采用先进的计算技术。本研究 ...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance-Based Prediction of Shear and Flexural Strengths in Fiber-Reinforced Concrete Beams via Machine Learning

The accurate and precise prediction of shear and flexural strengths in reinforced concrete (RC) and fiber-reinforced concrete (FRC) beams necessitates advanced computational techniques. This study ...

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.