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Inicio  /  Applied Sciences  /  Vol: 13 Par: 1 (2023)  /  Artículo
ARTÍCULO
TITULO

Fiber-Reinforced Polymer Confined Concrete: Data-Driven Predictions of Compressive Strength Utilizing Machine Learning Techniques

Filippos Sofos    
Christos G. Papakonstantinou    
Maria Valasaki and Theodoros E. Karakasidis    

Resumen

Provide the compressive strength of fiber reinforced polymer confined concrete specimens with machine learning tools based on real, experimental measurements.

PÁGINAS
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