Developing an ANN model to simulate ASTM C1012-95 test considering different cement types and different pozzolanic additives

HBRC Journal

G. Salama¹  O.A. Hodhod² 

[1] Civil Eng. Dept., Faculty of Engineering, Cairo University, Egypt;Struct. Eng. Dept., Faculty of Engineering, Cairo University, Egypt;

关键词: Sulfate attack;    Cement type;    Fly ash;    GGBFS;    ASTM C1012 test method;    Artificial neural networks (ANN);   

DOI  :  10.1016/j.hbrcj.2013.02.003

来源: DOAJ

【 授权许可】

Unknown