Comparative analysis of flexural strength prediction in SFRC using frequentist, Bayesian, and Machine Learning approaches

被引：0
|
作者：
De La Rosa, Ángel [1 ]
Sáinz-Aja, José [2 ]
Rivas, Isaac [2 ]
Ruiz, Gonzalo [3 ]
Ferreño, Diego [2 ]
机构：
[1] DIMME, Grupo de Durabilidad e Integridad Mecánica de Materiales Estructurales, Universidad Rey Juan Carlos, C. Tulipán s/n, Madrid, Móstoles,28933, Spain
[2] LADICIM (Laboratory of Materials Science and Engineering), ETSI Caminos, C. y P., Universidad de Cantabria, Av. Los Castros 44, Santander,39005, Spain
[3] ETSI Caminos, C. y P. de Ciudad Real, Universidad de Castilla-La Mancha, Av. Camilo José Cela 2, Ciudad Real,13071, Spain
来源：
Case Studies in Construction Materials | 2024年 / 21卷
关键词：
Compendex;
D O I：
10.1016/j.cscm.2024.e03822
中图分类号：
学科分类号：
摘要：
Fiber reinforced concrete
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