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They can be estimated by various modal identification algorithms that fit a theoretical model to measured data.
Nevertheless, additional efforts are still needed to enhance the robustness of automated modal identification algorithms, control the computational efforts and improve the reliability of modal parameter estimates (in particular, damping).
This paper describes an extensive experimental investigation conducted on the Braga Stadium suspension roof combining recent developments in terms of sensors, data communicating systems, computational power and automated output-only modal identification algorithms.
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The VMD-based modal identification algorithm decomposes the acceleration signal into a series of distinct modal responses and their respective center frequencies, such that when combined their cumulative modal responses reproduce the original acceleration response.
In the sequence, a refined modal identification algorithm is developed that takes into account mode interference and leads to improved modal estimates compared with those obtained by existing methods.
Three output-only modal parameter identification algorithms were utilised to extract the modal properties, namely the peak picking (PP), the frequency domain decomposition (FDD) and the data driven stochastic subspace identification (SSI) method.
The numerical analysis results show that the proposed modal parameter identification method based on HJAD technology not only has the advantage of a traditional blind modal parameter identification algorithm, but can also overcome the limitation of not being able to estimate more active modes than the number of available sensors.
Additionally, a full-order finite element model of the test structure, as well as the results from the experimental modal identification using the ERA algorithm were employed to validate the results obtained in this change-detection study.
The free decays obtained from RD have been used for system modal identification using eigen-system realization algorithm (ERA).
The proposed sensor placement strategy also minimizes the size of the test data matrix used by a popular modal identification technique called the eigensystem realization algorithm.
One important current focus of modal identification is a reformulation of modal parameter estimation algorithms into a single, consistent mathematical formulation with a corresponding set of definitions and unifying concepts.
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