Data-driven PSO-CatBoost machine learning model to predict the compressive strength of CFRP- confined circular concrete specimens

Author:

Khodadadi NimaORCID,Roghani HosseinORCID,De Caso Francisco,El-kenawy El-Sayed M.,Yesha Yelena,Nanni Antonio

Publisher

Elsevier BV

Reference148 articles.

1. FRP-confined concrete in circular sections: review and assessment of stress–strain models;Ozbakkaloglu;Eng. Struct.,2013

2. A novel triaxial test system for concrete under passive confinement;Jiang;J. Test. Eval.,2017

3. Size effect of concrete short columns confined with aramid FRP jackets;Wang;J. Compos. Constr.,2011

4. Analysis of load–strain models for RC square columns confined with CFRP;Faustino;Compos. B Eng.,2015

5. Design-oriented stress–strain model for FRP-confined concrete;Lam;Constr. Build. Mater.,2003

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