E-course in Random Vibrations

• Define and estimate probabilistic quantities like mean values and variances from response data
• Define correlation and explain how the concept can be used to extract physical information
• Define auto-correlation and cross-correlation functions and explain how they can be used to extract physical information
• Use numerical methods to estimate auto-correlation and cross-correlation functions
• Explain classical Fourier transforms and use digital Fourier transforms to process response data in Matlab
• Define spectral density functions and explain how they can be used to extract physical information
• Use numerical methods to estimate spectral density functions
• Outline and describe the concept of linear systems and use Matlab to perform simple response simulations

1. Probalistic description of random responses
2. Correlation and auto correlation functions
3. Cross correlation functions
4. Physical meaning of correlations functions
5. Fourier series and Fourier integral
6. Digital Fourier series
7. Auto spectral density
8. Cross spectral density
9. Response of linear systems
10. Course overview

41035/41214/11374, Or similar

Self-paced e-learning with weekly meetings and parallel live webinar. Group work, numerical exercises and problems, computer simulations, portfolio report, final report.

Maximum: 100.

Please be aware that this course has a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.