This research focuses on an inclined curved crack model
for a recycled
aluminum composite beam at various crack depths and locations. The
inclined curved crack equation of the motion, by governing a free
vibration curved beam with a different depth of crack, is solved computationally
via the differential quadrature method (DQM) and experimentally; additionally,
the result of the natural frequency has been compared with various
depths of curvature. For the first four modes of cracked beams, the
computational method’s output is used to determine the natural
frequencies associated with mode shapes. The outcomes of the computational
results suggested a structural health monitoring system to detect
deterioration in composite structures when modal parameters have changed.
An experimental set of results was validated using MATLAB2019a, and
the outcomes were compared with an artificial neural network.