Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming.

MLA

Amin, Muhammad Nasir, et al. “Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming.” Materials (1996-1944), vol. 15, no. 19, Oct. 2022, p. 6959. EBSCOhost, https://doi.org/10.3390/ma15196959.

APA

Amin, M. N., Raheel, M., Iqbal, M., Khan, K., Qadir, M. G., Jalal, F. E., Alabdullah, A. A., Ajwad, A., Al-Faiad, M. A., & Abu-Arab, A. M. (2022). Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming. Materials (1996-1944), 15(19), 6959. https://doi.org/10.3390/ma15196959

Chicago

Amin, Muhammad Nasir, Muhammad Raheel, Mudassir Iqbal, Kaffayatullah Khan, Muhammad Ghulam Qadir, Fazal E. Jalal, Anas Abdulalim Alabdullah, Ali Ajwad, Majdi Adel Al-Faiad, and Abdullah Mohammad Abu-Arab. 2022. “Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming.” Materials (1996-1944) 15 (19): 6959. doi:10.3390/ma15196959.