This thesis deals with the implementation of the Rational Fraction Polynomial method into the existing open-source software package for experimental modal analysis within the Python programming environment, called sdypy-EMA. The open-source implementation of the Rational Fraction Polynomial method allows users of the sdypy-EMA software package to access an additional method for reliable identification of modal parameters. The research work consisted of studying the theoretical background of the Rational Fraction Polynomial method, implementing it in the Python programming language, performing an experimental modal analysis on a real structure, and comparing the results with other modal analysis identification methods. It was concluded that the modal parameters identified by the Rational Fraction Polynomial method correlate closely with those identified by other methods, and that the implementation of the Rational Fraction Polynomial method in the sdypy-EMA software package is reasonable. It provides users with more options when performing modal identification and also allows the comparison of the results of two different methods, thus increasing confidence in the accuracy of the calculated modal parameters.
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