ME EN 531
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Aerospace Structural Dynamic Testing
Mechanical Engineering
Ira A. Fulton College of Engineering
Course Description
Strategies for identifying mathematical models of dynamic systems from time and frequency response measurements, experiment design, digital data acquisition methods and modern sensors. Eigenvalue problems for lumped parameter systems and corresponding experimental modal analysis methods. Introduction to signal processing, the fast Fourier transform, and correlation of measurements with finite element models.
When Taught
Winter Even Years
Fixed
3
Fixed
2
Fixed
1
Title
Analysis
Learning Outcome
Students will be able to find the natural frequencies, damping ratios and shapes of the modes of a dynamic system from a system of linear differential equations.
Title
Fourier Transform
Learning Outcome
Students will be able to use the fast Fourier transform to identify the frequency content in a signal and to solve for the steady-state and transient response of a linear system.
Title
Digital Data Acquisition
Learning Outcome
Students will be able to use modern data acquisition software to acquire measurements while avoiding aliasing and leakage.
Title
Experimental Modal Analysis
Learning Outcome
Students will be able to extract the natural frequencies, damping ratios and mode shapes from a set of frequency response functions.
Title
Test Design
Learning Outcome
Students will understand how to design a modal test, including selecting the locations of measurement sensors and input forces.
Title
Vibration Sensors
Learning Outcome
Students will be able to explain the advantages and disadvantages of common vibration sensors including: piezoelectric accelerometers, laser doppler vibrometers and strain gauges.
Title
Model Correlation
Learning Outcome
Students will employ the modal assurance criterion and cross-orthogonality to compare measured modes with those from a finite element model.
Title
Nonlinear Dynamics
Learning Outcome
Students will recognize some of the distortions that indicate the presence of nonlinearities in a dynamic measurement.
