Machine learning based shear strength prediction in reinforced concrete beams using Levy flight enhanced decision trees

Machine learning based shear strength prediction in reinforced concrete beams using Levy flight enhanced decision trees

Abstract Reinforced concrete (RC) T-beams are widely used in structural systems due to their efficient geometry and load-carrying capacity. However, accurately predicting their shear strength remains a challenge, particularly under complex loading scenarios. Conventional empirical approaches often s...

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Bibliographic Details
Main Authors: Aybike Özyüksel Çiftçioğlu, Anıl Delikanlı, Torkan Shafighfard, Faramarz Bagherzadeh
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Hybrid machine learning framework
Interpretable artificial intelligence
Non-linear shear capacity modeling
Reinforced concrete T-Beams
Stochastic optimization
Online Access:https://doi.org/10.1038/s41598-025-12359-y
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https://doi.org/10.1038/s41598-025-12359-y

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