Akademik Veri Yönetim Sistemi
International Conference on Artificial Intelligence and Applied Mathematics in Engineering 2023 (ICAIAME 2023), Antalya, Türkiye, 3 - 05 Kasım 2023, ss.17
The use of recycled aggregate concrete (RAC) in the construction industry can contribute to environmental protection and sustainability by reducing the consumption of natural resources. The quality of RAC is of vital importance for the durability and safety of structures. Poor quality or low durability RAC can lead to structural weaknesses and pose a safety risk. For this reason, comprehensive testing of RAC quality is required prior to implementation. There are several parameters that indicate the structural strength of RAC. One of the most important of these parameters is the compressive strength (f’RAC). Adequate compressive strength of the RAC allows the structures to withstand the expected loads. Various automatic programming methods are used to predict f’RAC. In this study, one of these methods, namely Immune Plasma Programming (IPP), and its versions were used for reliable prediction of f’RAC values. The success of IPP and its versions was compared with that of Artificial Bee Colony Programming (ABCP) and its versions. The best and mean values of all algorithms were analyzed to evaluate the results. The results indicate that IPP and its versions were successful in predicting f’RAC and furthermore, the versions of IPP outperformed the standard IPP by providing better values.