Latest Research in Innovative concrete reinforcement materials

41 research papers · 2026 median publication year

Top Research Topics in Innovative concrete reinforcement materials

Highest-Cited Papers

  1. Explainable multi-target ensemble learning with optimized hyperparameters for predicting mechanical properties of eco-friendly concrete
  2. Temperature-dependent longitudinal-wave acoustoelastic behavior of concrete
  3. Machine learning models for predicting ultimate bond strength between UHPC and reinforcing steel bar
  4. AI-driven symbolic regression for preliminary material estimation in pre-stressed concrete (PSC) bridges using multi-expression programming
  5. Machine Learning-Based Regression Modeling of Compressive Strength Behavior in RESIN8 Recycled Concrete Containing Organic Contamination
  6. Explainable machine learning quantification and optimization of self-healing bacterial concrete for crack reduction in RC structures
  7. CompMoE: Compositional mixture-of-experts neural network for sustainable mix optimization of fiber-reinforced ultra-high-performance concrete
  8. Flexural Response and Parametric Analysis of Precast Concrete Composite Beams Considering New-to-Old Concrete Interface Properties
  9. Experimental evaluation and machine learning-based prediction of bituminous concrete performance using the Marshall method
  10. Kolmogorov-Arnold network integrated with marine predators algorithm for explainable multi-target prediction of mechanical and durability performance of PET- and RHA-blended sustainable concrete
  11. Prediction of creep compliance in high strength concrete using a Feature Tokenizer Transformer with grouped validation
  12. A probabilistic framework for modeling chloride‐induced corrosion and related load‐deformation behaviour of reinforced concrete
  13. Source-Study-Aware Validation and Explainable Machine Learning for Reliable Shear Capacity Assessment of Steel-Fiber-Reinforced Concrete Corbels
  14. Effect of Compressive Creep on Fracture Properties of Concrete: Strengthening versus Weakening
  15. Design optimization of post–beam–panel mass timber frame systems using Monte Carlo Tree Search and policy neural network
  16. A leave‐top‐feature‐out framework for validating feature importance reliability in concrete compressive strength modeling
  17. Unveiling Nonlinear Synergistic Effects in Ultrahigh-Performance Concrete: A Data-Driven Framework for Optimized Mix Design and Accurate Strength Prediction
  18. Interpretable Machine Learning Framework for Predicting Air Void Content in Sustainable Steel-Slag SMA Mixtures Using Metaheuristic-Optimized XGBoost
  19. Assessment of Ultrasonic Pulse Velocity and Rebound Hammer Response in Steel–GFRP Hybrid Reinforced Concrete Beams
  20. An explainable AI framework for crack width and crack spacing prediction with serviceability-oriented design optimization of reinforced and prestressed concrete members
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L3 Region - - 2026 Sep Q3

Innovative concrete reinforcement materials

41 papers

Top Topics (10)

Innovative concrete reinforcement materials12
Asphalt Pavement Performance Evaluation5
Recycled Aggregate Concrete Performance4
Ultrasonics and Acoustic Wave Propagation2
Structural Behavior of Reinforced Concrete2
Concrete Properties and Behavior2
Concrete Corrosion and Durability2
Microbial Applications in Construction Materials1
Infrastructure Maintenance and Monitoring1
Wood Treatment and Properties1

Top Publications (20)

1.Explainable multi-target ensemble learning with optimized hyperparameters for predicting mechanical properties of eco-friendly concrete2.Temperature-dependent longitudinal-wave acoustoelastic behavior of concrete3.Machine learning models for predicting ultimate bond strength between UHPC and reinforcing steel bar4.AI-driven symbolic regression for preliminary material estimation in pre-stressed concrete (PSC) bridges using multi-expression programming5.Machine Learning-Based Regression Modeling of Compressive Strength Behavior in RESIN8 Recycled Concrete Containing Organic Contamination6.Explainable machine learning quantification and optimization of self-healing bacterial concrete for crack reduction in RC structures7.CompMoE: Compositional mixture-of-experts neural network for sustainable mix optimization of fiber-reinforced ultra-high-performance concrete8.Flexural Response and Parametric Analysis of Precast Concrete Composite Beams Considering New-to-Old Concrete Interface Properties9.Experimental evaluation and machine learning-based prediction of bituminous concrete performance using the Marshall method10.Kolmogorov-Arnold network integrated with marine predators algorithm for explainable multi-target prediction of mechanical and durability performance of PET- and RHA-blended sustainable concrete11.Prediction of creep compliance in high strength concrete using a Feature Tokenizer Transformer with grouped validation12.A probabilistic framework for modeling chloride‐induced corrosion and related load‐deformation behaviour of reinforced concrete13.Source-Study-Aware Validation and Explainable Machine Learning for Reliable Shear Capacity Assessment of Steel-Fiber-Reinforced Concrete Corbels14.Effect of Compressive Creep on Fracture Properties of Concrete: Strengthening versus Weakening15.Design optimization of post–beam–panel mass timber frame systems using Monte Carlo Tree Search and policy neural network16.A leave‐top‐feature‐out framework for validating feature importance reliability in concrete compressive strength modeling17.Unveiling Nonlinear Synergistic Effects in Ultrahigh-Performance Concrete: A Data-Driven Framework for Optimized Mix Design and Accurate Strength Prediction18.Interpretable Machine Learning Framework for Predicting Air Void Content in Sustainable Steel-Slag SMA Mixtures Using Metaheuristic-Optimized XGBoost19.Assessment of Ultrasonic Pulse Velocity and Rebound Hammer Response in Steel–GFRP Hybrid Reinforced Concrete Beams20.An explainable AI framework for crack width and crack spacing prediction with serviceability-oriented design optimization of reinforced and prestressed concrete members
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