An Innovative Structural Dynamic Identification Procedure Combining Time Domain OMA Technique and GA

In this paper an innovative and simple Operational Modal Analysis (OMA) method for structural dynamic identification is proposed. It combines the recently introduced Time Domain–Analytical Signal Method (TD–ASM) with Genetic Algorithm (GA). Specifically, TD–ASM firstly employed to estimate a subspace of candidate modal parameters, then GA used identify parameters minimizing fitness value returned by appropriately objective function. Notably, can be even high damping ratios, it also allows one Power Spectral Density (PSD) excitation. The reliability proposed proved through several numerical applications on two different Multi Degree Freedom (MDoF) systems, considering comparisons other OMA methods. results obtained in terms identification, Frequency Response Functions (FRFs) matrix estimation, response prediction show procedure.