... random noise will lead to unreliable identification of structural parameters as observed. Thus, filtering of noise technique may be required to be adopted prior to consideration of the measured data in the proposed identification approach. Practical implications Requirement of higher modal data seems...

... even with noise-contaminated data. Research limitations/implications However, for practical problems, the experimental validation is significantly important prior to its application in real-life problems. Practical implications The developed model seems to be feasible for practical applications...