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Author

Tufail Mabood

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Open access Sep 2026

A Hybrid Data-Driven and Physics-Based Approach for Shear Capacity Estimation of Steel Fiber Reinforced Concrete Beams

Estimation of shear strength of steel fiber reinforced concrete (SFRC) beams is difficult because of the complex nonlinear interactions between fiber, geometry, and reinforcements. In this study, the hybrid machine learning (ML) and finite element analysis (FEA) method are utilized for estimating the load-carrying capa...

Fadhil A. Jasim, Ansam Z. Thamer, H. al-Farttoosi et al. · 0 citations
Open access Jul 2026

Quantitative prediction of differential settlement based on machine learning techniques.

A data-driven machine learning framework to accurately predict differential settlement at the junction of existing and new embankments is developed, offering a tool for rapid performance prediction and damage assessment that significantly outperforms conventional simulation-based methods in speed and efficiency.

Shaista Jabeen Abbasi, Hu Minqjie, Xiaolin Weng et al. · 0 citations

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