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Praxisseminar Experimentelle Schwingungsanalyse

ED160050Aerospace Lab Courses4 ECTSEnglishsummer semesterLehrstuhl für Angewandte Mechanik (Prof. Rixen)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In this module you will conduct experimental measurements and evaluations for vibration analysis. You will learn measurement methods (e.g., strain gauges, impulse hammer), signal processing (FFT, STFFT) as well as modal analysis, and you will be able to experimentally determine and evaluate eigenfrequencies, mode shapes and frequency response data.

What you will be able to do

  • Distinguish methods and tasks of experimental vibration analysis
  • Assess the significance, effort and challenges of experimental measurement methods
  • Apply sampling and Fourier transformation to different signals
  • Conduct and calibrate measurements with strain gauges
  • Carry out and evaluate frequency response measurements
  • Experimental determination of eigenfrequencies and mode shapes (modal analysis)

What the module consists of

  • PraktikumConducting the experiments in groups of three on laboratory setups; collection of measurement data
  • SelbststudiumFamiliarization with the experimental instructions, answering control questions for self-check
  • Demonstration/AnleitungExperiment supervisor demonstrates device and software handling; supervising personnel provide on-site support
  • AusarbeitungGroup work with Python evaluation (submission) to deepen the results

Teaching method

  • Selbststudium der VersuchsanleitungConveying theoretical fundamentals and self-check through control questions
  • Video- und PräsentationsmaterialExplanation of central topics such as sampling, Fourier transformation, strain gauge measurement, frequency response measurement and modal analysis
  • Laborversuche in 3er-GruppenPractical application and collection of measurement data under supervision
  • Auswertung mit Python (Jupyter-Notebooks)Deepening understanding through practical data analysis and documentation
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