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Doctoral Thesis
DOI
https://doi.org/10.11606/T.18.2016.tde-29012016-123355
Document
Author
Full name
Andréa Cardoso
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2006
Supervisor
Committee
Belo, Eduardo Morgado (President)
Kurka, Paulo Roberto Gardel
Mucheroni, Mario Francisco
Pereira, João Antonio
Tsunaki, Roberto Hideaki
Title in Portuguese
A transformada Wavelet aplicada à identificação modal operacional
Keywords in Portuguese
Algoritmo de realização de sistemas
Análise modal operacional
Identificação estocástica
Métodos de identificação de sistemas
Abstract in Portuguese
Apresenta uma nova técnica de identificação estocástica para estruturas sujeitas a excitação ambiente utilizando um método não recursivo, a análise estatística e a transformada wavelet. A análise estatística contribui para a seleção da melhor ordem para o sistema e automação dos procedimentos computacionais. Em geral há dificuldade para a identificação de baixas freqüências. A transformada wavelet é uma ferramenta fundamental para a compressão de dados e torna possível a identificação completa incluindo baixas freqüências e modos acoplados, além de melhorar significativamente a eficiência computacional do método. É apresentado o estudo de três sistemas simulados e os resultados obtidos são comparados aos parâmetros modais teóricos.
Title in English
The wavelet transform applied to operational modal analysis
Keywords in English
Eigensystem realization algorithm
Identification methods
Operational modal analysis
Output-only identification
Abstract in English
A new form to carry out stochastic identification of structures in operational conditions using a non recursive method, the statistic analysis and the wavelet transform, is presented. The statistic analysis contributed to select the best system order and to automation of computational procedures. In general the identification of low frequencies is a difficult task. The wavelet transform is an essential tool for compression of data making possible the complete identification including low frequencies. In addition it improves the computational efficiency. The study of three simulated system is presented and the results are compared with the analytical modal parameters.
 
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Publishing Date
2016-01-29
 
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