PSI - Issue 68

Hussam Safieh et al. / Procedia Structural Integrity 68 (2025) 245 – 251 H. Safieh et al./ Structural Integrity Procedia 00 (2019) 000–000

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Durodola, J. F., Ramachandra, S., Gerguri, S., Fellows, N. A. Artificial neural network for random fatigue loading analysis including the effect of mean stress . Figueira Pujol, J. C., Andrade Pinto, J. M., 2011. A neural network approach to fatigue life prediction. International Journal of Fatigue , 33 (3), 313–322. doi: 10.1016/j.ijfatigue.2010.09.003 Hawileh, R. A., Abdalla, J. A., Nawaz, W., Sharif Zadeh, A., Mirghani, A., Al Nassara, A., Khartabil, A., Shantia, M., 2024. Effects of Replacing Cement with GGBS and Fly Ash on the Flexural and Shear Performance of Reinforced Concrete Beams. Practice Periodical on Structural Design and Construction , 29 (2). doi: 10.1061/ppscfx.sceng-1339 Kajaste, R., Hurme, M., 2016. Cement industry greenhouse gas emissions - Management options and abatement cost. Journal of Cleaner Production , 112 , 4041–4052. doi: 10.1016/j.jclepro.2015.07.055 Mhanna, H. H., Hawileh, R. A., Abdalla, J. A., Ayman, A., Moussa, A., El Din Mahdi, B., Kuwatly, Y., 2023. Mechanical properties and durability of GGBS based geopolymer mortar. Materials Today: Proceedings . doi: 10.1016/j.matpr.2023.03.245 Naser, M. Z., Khaled Al-Bashiti, M., Teymori, A., Tapeh, G., Dadras Eslamlou, A., Ed Naser, A., Kodur, V., Hawileeh, R. I., Abdalla, J., Khodadadi, N., Gandomi, A. H., 2024. A Review of 315 Benchmark and Test Functions for Machine Learnin g Optimization Al g orithms and Metaheuristics with Mathematical and Visual Descriptions . Safieh, H., Hawileh, R. A., Assad, M., Hajjar, R., Shaw, S. K., Abdalla, J., 2024. Using Multiple Machine Learning Models to Predict the Strength of UHPC Mixes with Various FA Percentages. Infrastructures , 9 (6). doi: 10.3390/infrastructures9060092 Salameh, A., Hawileh, R., Safieh, H., Assad, M., Abdalla, J., 2024. Elevated Temperature Effects on FRP-Concrete Bond Behavior: A Comprehensive Review and Machine Learning-Based Bond Strength Prediction. Infrastructures , 2024 , 183. doi: 10.3390/infrastructures9100183 Sayan Kumar Shaw, Arjun Sil. A generous review of fly ash engineering characteristics on concrete in trait of compressive strength . Shaw, S. K., Ghosh, S., Dey, A., Sil, A., 2022. Experimental investigation on hysteric loading characteristics of fly ash as fractional substitute of cement in reinforced concrete beam-column connection at curing of 90 days. Structural Concrete , 23 (4), 1981–1994. doi: 10.1002/suco.202000353 Shaw, S. K., Ghosh, S., Dey, A., Sil, A., 2023. Comparative Experimental Investigation for Assessing the Dynamic Performance Index (DPI) on Cyclic Loading Behaviours of RC Beam-Column Joints Employing Fly Ash Concrete. Iranian Journal of Science and Technology - Transactions of Civil Engineering , 47 (6), 3233–3257. doi: 10.1007/s40996-023-01108-8 Shaw, S. K., Sil, A., 2020. Experimental study on cyclic loading characteristics of fly ash as partial replacement of cement in beam-column joint. Case Studies in Construction Materials , 13 . doi: 10.1016/j.cscm.2020.e00362 Wangler, T., Roussel, N., Bos, F. P., Salet, T. A. M., Flatt, R. J., 2019. Digital Concrete: A Review. In Cement and Concrete Research (Vol. 123). Elsevier Ltd. doi: 10.1016/j.cemconres.2019.105780