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CREEM2020
CREEM2020
DESENVOLVIMENTO E IMPLEMENTAÇÃO DO MÉTODO ERA NA IDENTIFICAÇÃO DE PARÂMETROS MODAIS USANDO A PLATAFORMA PYTHON
Submission Author:
Daniel Awada Elarrat Canto , PR
Co-Authors:
Daniel Awada Elarrat Canto, Heraldo Cambraia
Presenter: Daniel Awada Elarrat Canto
doi://10.26678/ABCM.CREEM2020.CRE2020-0037
Abstract
The article presents the computational implementation of the Eigensyatem Realization Analysis (ERA) to be used in modal parameters identification in a Python platform. ERA is based in the realization theory consisting in the fitting of a first-order state-space mathematical model to a quantity of measured impulsive responses functions (IRF) taken from a structural system. Numerically, the identification scheme relies on eigenvalue and singular value decomposition problems of appropriated matrices: state-matrix of the system and Hankel structured matrix of IRF’s data. The effectiveness of present method is demonstrated using samples of IRF’s obtained from numerical simulation.
Keywords
análise modal, Método ERA, análise de sinais, Python
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