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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 1.1 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY
Structural Engineering International 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.
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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
Structural Engineering International
Structural Engineering International CONSTRUCTION & BUILDING TECHNOLOGY-ENGINEERING, CIVIL
CiteScore
2.60
自引率
9.10%
发文量
78
审稿时长
6-12 weeks
期刊介绍： The aim of the Association is to exchange knowledge and to advance the practice of structural engineering worldwide in the service of the profession and society.
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