Using Artificial Intelligence for Optimizing Natural Frequency of Recycled Concrete for Mechanical Machine Foundation

This paper investigates the mechanical properties of two different types recycled concrete, which use wood and rubber, relative to those characteristics pure in terms maximum load natural frequencies. contributes state art this area a number ways. Firstly, provides furtherance progressively growing literature field concrete materials. Secondly, by means investigating frequency samples, is new contribution. Lastly, results from predicting frequencies using fuzzy logic have been effectively assessed compared with analytical results. Results study show that samples produced frequency, then wood, lastly, rubber. The tolerance between lab test approximately 5%. These could significant implications for furthering research designing machine foundations. Evidence applicability as predictive analysis tool are discussed.