Applied frequency-domain system identification in the field of experimental modal analysis

Mulder, L. (2017) Applied frequency-domain system identification in the field of experimental modal analysis.

[img]
Preview
PDF
33MB
Abstract:Within VDL ETG, the Structural Dynamics competence is responsible for the research to the dynamic behaviour of the fabricated products. As clients handle over more and more responsibility for the design improvements of entire systems, there is a need to streamline the process of this investigation. In this thesis the data acquisition if streamlined by means of a GUI which saves the measurements to a structured dataset. Furthermore a user-friendly system identification technique is applied to this measured dataset to identify the modal parameters of the system under study. The developed algorithm is applied to experimental data by means of a simple steel plate and one typical mechanical system fabricated by VDL ETG to illustrate the practical applicability. Once the modal parameters are estimated, correlation analysis is performed to verify the quality of the estimated model. These same metrics can be used to compare different models for validation purposes. All treated theory is implemented in Matlab code and these scripts are extensively explained. All of this work is done to provide the Structural Dynamics competence at VDL ETG with a practical useful toolbox which will enable them to perform Experimental Modal Analysis (EMA) in a more convenient and efficient manner.
Item Type:Essay (Master)
Clients:
VDL ETG, Almelo, Nederland
Faculty:ET: Engineering Technology
Subject:52 mechanical engineering
Programme:Mechanical Engineering MSc (60439)
Link to this item:http://purl.utwente.nl/essays/73006
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page