Predicting Flexural Capacity of Ultrahigh-Performance Concrete Beams: Machine Learning–Based Approach

Author:

Solhmirzaei Roya1,Salehi Hadi1,Kodur Venkatesh2ORCID

Affiliation:

1. Dept. of Civil and Environmental Engineering, Michigan State Univ., East Lansing, MI 48864.

2. University Distinguished Professor, Dept. of Civil and Environmental Engineering, Michigan State Univ., 3573 Engineering Bldg., East Lansing, MI 48864 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Reference81 articles.

1. AFGC/SETRA (Association Française de Génie Civil/Service d’études techniques des routes et autoroutes). 2002. Ultra high performance fibre-reinforced concretes. Bagneux, France: French Civil Engineering Association.

2. Baby F. 2012. “Contribution à l’identification et la prise en compte du BFUP à l’échelle de la structure” [Contribution to identification of UHPFRC tensile constitutive behavior and accounting for structural design]. Ph.D. dissertation Structures et Matériaux l’Institut Français des Sciences et Technologies des Transports de l'Aménagement et des Réseaux Univ. of Paris-Est.

3. Numerical investigation of the shear behavior of reinforced ultra-high-performance concrete beams

4. An Intelligent Model for the Prediction of Bond Strength of FRP Bars in Concrete: A Soft Computing Approach

5. Bunje K. and E. Fehling. 2004. “About shear force and punching shear resistance of structural elements of ultra high performance concrete.” In Proc. Int. Symp. on Ultra High Performance Concrete 401–411. Kassel Germany: Univ. of Kassel.

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