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

The hybrid machine learning (ML) and finite element analysis (FEA) method are utilized for estimating the load-carrying capacity (Pmax) of SFRC beams and can be considered accurate and efficient for practical SFRC shear design.

Fadhil A. Jasim, Ansam Z. Thamer, H. al-Farttoosi et al. · Civil Engineering Journal · 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. · Scientific Reports · 0 citations