Condition assessment of steel truss bridge using time frequency domain analysis

In the present article the work is carried out on scaled modeled bridge for condition assessment due to seeded damage. The objective is to find the location of damage in the steel bridge using vibration signal. For the differentiation between damage and intact condition, time, frequency domain analysis has been used. Power spectral density has been applied to the vibration signal to extract the mode shapes and compare between healthy and damage state of the modeled. Further, Short Time Fourier Transform gives the 3D visualization of amplification in different mode of vibration which helps to identify the damage location. Using nodal energy approach, Wavelet Packet Transform has been used to determine the location of damage, which is superior than the frequency and time domain analysis parameters.