Yassir M. Abbas 
- (2024): Enhanced data-driven shear strength prediction for RC deep beams: analyzing key influencing factors and model performance. In: Structures, v. 70 (December 2024).
- (2024): Improving Shear Strength Prediction in Steel Fiber Reinforced Concrete Beams: Stacked Ensemble Machine Learning Modeling and Practical Applications. In: Buildings, v. 14, n. 7 (2 July 2024).
- (2024): Optimizing nano-TiO2 and ZnO integration in silica-based high-performance concrete: Mechanical, durability, and photocatalysis insights for sustainable self-cleaning systems. In: Construction and Building Materials, v. 446 (October 2024).
- (2024): ANOVA-guided assessment of waste glass and limestone powder influence on ultra-high-performance concrete properties. In: Case Studies in Construction Materials, v. 20 (July 2024).
- (2024): Interpretable constitutive compressive stress-strain model for rubberized aggregate concrete – Integrating comprehensive empirical database and efficient XGBoost ensemble learning. In: Case Studies in Construction Materials, v. 21 (December 2024).
- (2024): Enhanced nonlinear models for critical compressive stress-strain characteristics of rubberized concrete: Comprehensive experimental data and robust evaluation methodology. In: Construction and Building Materials, v. 433 (June 2024).
- (2024): Efficacious application of data-driven machine learning models for predicting and optimizing the flexural tensile strength of fiber-reinforced concrete. In: Structures, v. 64 (June 2024).
- (2023): Enhancing the mechanical and environmental performance of engineered cementitious composite with metakaolin, silica fume, and graphene nanoplatelets. In: Construction and Building Materials, v. 404 (November 2023).
- (2023): Strength and sensitivity analysis of shear-deficient ultrahigh performance fiber reinforced concrete beams using hybrid neuro-fuzzy approach. In: Journal of Building Engineering, v. 72 (August 2023).
- (2023): Prediction of compressive stress–strain behavior of hybrid steel–polyvinyl-alcohol fiber reinforced concrete response by fuzzy-logic approach. In: Construction and Building Materials, v. 379 (May 2023).
- (2023): Intelligent data-driven compressive strength prediction and optimization of reactive powder concrete using multiple ensemble-based machine learning approach. In: Construction and Building Materials, v. 404 (November 2023).
- (2023): Formulation of inexpensive and green reactive powder concrete by using milled-waste-glass and micro calcium-carbonate – A multi-criteria optimization approach. In: Construction and Building Materials, v. 409 (December 2023).
- (2023): Significance of fiber characteristics on the mechanical properties of steel fiber-reinforced high-strength concrete at different water-cement ratios. In: Construction and Building Materials, v. 408 (December 2023).
- (2023): ANN approach to evaluate the effects of supplementary cementitious materials on the compressive strength of recycled aggregate concrete. In: Construction and Building Materials, v. 402 (October 2023).
- (2023): Efficient prediction of the load-carrying capacity of ECC-strengthened RC beams – An extra-gradient boosting machine learning method. In: Structures, v. 56 (October 2023).
- (2023): Behavioral response of reinforced concrete beams with ultra-ductile fiber-reinforced cementitious composite layers – Experiments, models and reinforcement limits. In: Journal of Building Engineering, v. 77 (October 2023).
- (2023): Curing–dependent structural behavior of ultra-high-performance hybrid fiber-reinforced concrete beams. In: Structures, v. 54 (August 2023).
- (2023): The drying shrinkage response of recycled-waste-glass-powder-and calcium-carbonate-based ultrahigh-performance concrete. In: Construction and Building Materials, v. 379 (May 2023).
- (2023): Strength prediction and optimization for ultrahigh-performance concrete with low-carbon cementitious materials – XG boost model and experimental validation. In: Construction and Building Materials, v. 387 (July 2023).
- (2023): Experimental study of depth-dependent flexural behavior of plain and bar-reinforced ultra-high-performance hybrid fiber-reinforced concrete. In: Structures, v. 53 (July 2023).
- (2023): Depth-dependent flexural behavior of plain and bar-reinforced ultra-high-performance hybrid fiber-reinforced concrete –analytical, numerical, and uncertainty modeling. In: Structures, v. 52 (June 2023).
- (2023): Shear behavior of ultra-high-performance reinforced concrete beams – Finite element and uncertainty quantification study. In: Structures, v. 47 (January 2023).
- (2023): Multi-criterion optimization of Low-Cost, Self-compacted and Eco-Friendly Micro-calcium-carbonate- and Waste-glass-flour-based Ultrahigh-Performance concrete. In: Construction and Building Materials, v. 371 (March 2023).
- (2022): Behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods. In: Case Studies in Construction Materials, v. 17 (December 2022).
- (2023): The behavior of graphene-nanoplatelets-based high-performance concrete under ambient curing. In: Structures, v. 47 (January 2023).
- (2022): Cost-performance balance and new image analysis technique for ultra-high performance hybrid nano-based fiber-reinforced concrete. In: Construction and Building Materials, v. 315 (January 2022).
- (2021): Sustainable application of processed TBM excavated rock material as green structural concrete aggregate. In: Construction and Building Materials, v. 274 (March 2021).
- (2022): Improving the structural behavior of shear-deficient RC deep beams using steel fibers: Experimental, numerical and probabilistic approach. In: Journal of Building Engineering, v. 46 (April 2022).
- (2022): Constitutive Compressive Stress–Strain Behavior of Hybrid Steel-PVA High-Performance Fiber-Reinforced Concrete. In: Journal of Materials in Civil Engineering (ASCE), v. 34, n. 1 (January 2022).
- (2021): Optimization of Arabian-Shield-Based Natural Pozzolan and Silica Fume for High-Performance Concrete Using Statistical Design of Experiments. In: Advances in Civil Engineering, v. 2021 (January 2021).
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