This paper proposes two algorithms of crack detection one using fuzzy logic (FL) and the other artificial
neural networks (ANN). Since modal parameters are very sensitive to damages, the first three relative
natural frequencies are used as three inputs and the corresponding relative crack location, relative crack
depth are used as the two outputs in the algorithms. The three natural frequencies for an undamaged beam
and different cases of damaged beam (Single crack at various locations with varying depths) were obtained
by modelling and simulating the beams using a finite element based (FEM) software. Results concluded
that both the approaches can be successfully employed in crack detection in a beam like structure but FL
approach performed better in determining relative crack depth whereas ANN approach performed better in
determining relative crack location. All the comparisons made in the study are based on the R2
values.