Author

Viet Hai Hoang

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Open access 2026

Metaheuristic-optimized CatBoost models for flexural capacity prediction of reinforced UHPC beams: robustness assessment and SHAP interpretation

Predicting the flexural capacity of reinforced ultra-high-performance concrete (UHPC) beams remains challenging due to the nonlinear interactions among longitudinal reinforcement, sectional geometry, material strength, and fiber-related parameters. This study proposes an explainable metaheuristic-enhanced CatBoost fram...

V. Ngo, T. Tran, B. Vu et al. · Materials Research Express · 0 citations

Open access Jul 2026

Interpretable machine learning with Bayesian optimization for bond strength prediction of steel reinforcement in geopolymer concrete

Accurate estimation of bond strength between steel reinforcement and geopolymer concrete is essential for the reliable design of sustainable reinforced concrete structures. However, the highly nonlinear interactions reduce the applicability and accuracy of conventional empirical models. This study proposes a Bayesian-o...

Viet - Hung Tran, Viet Hai Hoang, Quang Nguyen Minh Tran · PLoS ONE · 2 citations