Author

Mohamed Ghalla

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Open access Jul 2026

Reliable estimation of the confined compressive strength of FRP-confined circular concrete columns using an ANFIS-based model.

Reliable estimation of the confined compressive strength of fiber-reinforced polymer (FRP)-wrapped concrete is essential for the safe design and assessment of strengthened structural members. This study proposes an adaptive neuro-fuzzy inference system (ANFIS) model to predict the confined compressive strength of FRP-c...

T. A. Tawfik, Z. Akbulut, M. A. Arvas et al. · Scientific Reports · 0 citations

Open access Jul 2026

Mechanical assessment with data-driven hybrid machine learning-based optimization of compressive strength of sustainable biochar-concrete composite.

The rapid rise in global population and industrial activity has intensified environmental challenges, particularly carbon dioxide (CO₂) emissions from the cement and concrete industry. Biochar, a carbon-rich byproduct of biomass pyrolysis, has emerged as a promising solution for sustainable construction by enhancing ca...

M. Uddin, Md. Samsuzzaman Sobuz, Mohamed Ghalla et al. · Scientific Reports · 0 citations

Review Nov 2026

Precision Assessment of Data-Driven Supervised Machine-Learning Models for Predicting Compressive Strength of Sustainable Waste Foundry Sand Concrete

The rapid rate of urbanization and industrialization has driven the excessive use of natural resources like river sand and gravel, raising significant sustainability concerns. Waste foundry sand (WFS), a discarded by-product of ferrous and nonferrous metal casting industries, offers a promising substitute for natur...

M. H. R. Sobuz, Md. Kawsarul Islam Kabbo, A. Alzlfawi et al. · Journal of Structural Design... · 0 citations