Development of a modal analysis software platform

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2014
Özgelen, Onur
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Modal identification techniques are used for identifying modal parameters of the system via frequency response functions of the system obtained from modal testing. In this master study, it is aimed to develop a software platform in which different modal identification techniques can be implemented. For this purpose, many modal identification techniques available in the literature are investigated and some of them are selected to be used in the software platform. Besides the investigation on modal identification techniques, commercially available modal analysis softwares are researched in order to get the recipe for what a modal analysis software is to be included. According to the findings of the recipe, the parts of modal analysis software are constructed. LabVIEW is chosen for environment to develop the software. It is preferred for that it has programming advantages for the developer over other programming languages. Furthermore, creating graphical user interfaces for the users using LabVIEW is by far easier compared to other programming languages. In order to validate that the software works properly, two case studies are carried out. The result of first case study is taken from a finite element software package. Numerically generated frequency response functions are taken from an arbitrary structure by using the finite element software. These FRFs are processed in the developed software. As for the second case study, experimentally gathered FRFs are processed in the software. Thus, it is shown that the software works properly for FRFs which is obtained by either analytical or experimental means.
Modal analysis., Curve fitting., Parameter estimation, Computer software
http://etd.lib.metu.edu.tr/upload/12616977/index.pdf
https://hdl.handle.net/11511/23313
Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats
O. Özgelen, “Development of a modal analysis software platform,” M.S. - Master of Science, Middle East Technical University, 2014.
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