Our work spans four interconnected domains, combining experimental data with AI-driven predictive models.
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Steel Structures & Buckling
Lateral-torsional and distortional buckling of steel I-beams, castellated and cellular beams, and corroded web plate girders — assessed using ANN, regression, and machine learning.
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Supplementary Cementitious Materials
Recycled glass, copper slag, ceramic waste powder, and metakaolin in self-compacting concrete — evaluating fresh properties, strength, microstructure, and durability.
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AI & Soft Computing in Civil Engineering
Artificial neural networks, XGBoost, gene expression programming, PSO, ANFIS, and hybrid meta-heuristic optimizers applied to structural capacity prediction.
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Corrosion & Structural Reliability
Reliability analysis of corroded steel box-girder bridges, pitting corrosion effects on plate elements, fatigue life estimation, and maintenance strategies.
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Tall Building Systems
Combined framed tube, shear core, outrigger, and belt-truss systems — analytical models, dynamic response to blast loading, and optimum outrigger placement.
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FRP-Reinforced Concrete
Shear and flexural capacity of FRP-RC beams, CFRP-confined columns, compressive strength prediction, and innovative GEP equations for design practice.
