November 28, 2025Structural Concrete0 citations

Prediction Model for Shear Strength of Slender Reinforced Concrete Beams Using Genetic Algorithms

An advanced prediction model for shear strength of slender reinforced concrete beams: Integrating shear transfer mechanisms and size effects

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This research demonstrates a prediction model for shear strength in concrete beams, indicating high accuracy using genetic algorithms.

Shear strength prediction model achieved high accuracy with R2 = 0.9205 for beams without stirrups.
The model employs genetic algorithms to optimize size effects on shear strength based on mechanical principles.
Insights on contribution mechanisms for shear strength highlight the roles of concrete compression and aggregate interlock.
Model performance surpasses existing design codes, offering potential for further applications in dynamic loads and new materials.

Adamu et al. (2025) studied this question.

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November 28, 2025Structural Concrete0 citations

An advanced prediction model for shear strength of slender reinforced concrete beams: Integrating shear transfer mechanisms and size effects

View Full Paper

Ask AI

Bookmark

Authors

This research demonstrates a prediction model for shear strength in concrete beams, indicating high accuracy using genetic algorithms.

Shear strength prediction model achieved high accuracy with R2 = 0.9205 for beams without stirrups.
The model employs genetic algorithms to optimize size effects on shear strength based on mechanical principles.
Insights on contribution mechanisms for shear strength highlight the roles of concrete compression and aggregate interlock.
Model performance surpasses existing design codes, offering potential for further applications in dynamic loads and new materials.

Adamu et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark