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Numerical implementation of the SSI-DATA method for system identification from the structural response

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Data-driven stochastic subspace identification (SSI-DATA)

Numerical implementation of the SSI-DATA method for system identification from the structural response (acceleration, velocity, and displacement). The formulation is based on the work of Van Overschee and De Moor (1996) and on adaptations by Peeters (2000) and Fadel Miguel (2007).

The Matlab codes include the application of the Modal Assurance Criterion (MAC) and the stabilization diagram to determine stable modes.

References

ALLEMANG, R. J.; BROWN, D. L. (1982). A Correlation Coefficient for Modal Vector Analysis. Proceedings of the 1st International Modal Analysis Conference (IMAC), USA, p. 110-116.

CARINI, M. R. (2021). Identificação das Propriedades Dinâmicas de Estruturas submetidas a Ações Ambientais. Doctoral Thesis, Federal University of Rio Grande do Sul, Brazil.

FADEL MIGUEL, L. F. (2007). Identificaçao de sistemas e avaliaçao da integridade de estruturas treliçadas. Doctoral Thesis, Federal University of Rio Grande do Sul, Brazil.

PEETERS, B. (2000). System Identification and Damage Detection in Civil Engineering. PhD thesis, Katholieke Universiteit Leuven, Belgium.

VAN OVERSCHEE, P.; DE MOOR, B. (1996). Subspace identification for linear systems: Theory - Implementation - Applications. Leuven: Kluwer Academic Publishers, 254 p.

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