Prediction of RC T-Beams Shear Strength Based on Machine Learning

Abstract The contribution of shear resisted by flanges of T-beams is usually ignored in the shear design models even though it was proven by many experimental studies that the shear strength of T-beams is higher than that of equivalent rectangular cross-sections. Ignoring such a contribution result...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Saad A. Yehia, Sabry Fayed, Mohamed H. Zakaria, Ramy I. Shahin
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	SpringerOpen 2024-08-01
سلاسل:	International Journal of Concrete Structures and Materials
الموضوعات:	Reinforced concrete T-beams Shear strength Machine learning (ML) Extreme Gradient Boosting model (XGBoost) Decision tree model (DT) Random forest model (RF)
الوصول للمادة أونلاين:	https://doi.org/10.1186/s40069-024-00690-z
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Prediction of RC T-Beams Shear Strength Based on Machine Learning

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