Mechanical Dynamics (518H3)
Mechanical Dynamics
Module 518H3
Module details for 2023/24.
15 credits
FHEQ Level 7 (Masters)
Module Outline
State space modelling of dynamic systems; self-excited vibration and instability; various non-linear phenomena; applications of the Finite-Element Method in dynamics; the Rayleigh-Ritz method; linear model reduction techniques; MDOF models of linear damping; the effect of damping on natural frequencies and mode shapes; forced vibration of general linear MDOF systems: time and frequency domain analysis, solution via DFT; review of probability theory and the normal distribution; introduction to stochastic processes, correlation functions, and power spectral densities; random vibration analysis of linear dynamic systems; international standards on machine vibration levels.
The syllabus is covered by the the following AHEP4 learning outcomes: M1, M2, M3, M4, M17
Library
Clough R W and Penzien J, 1993. Dynamics of Structures, McGraw-Hill, 2nd ed.
Newland D E, 1994. Mechanical Vibrations Analysis and Computation, Longman.
Rao I S S, 1995. Mechanical Vibrations, Addison Wesley.
Brogan W L, 1991 . Modern Control Theory Prentice Hall, 517-521.
Panovko Y G and Gubanova I I, 1965. Stability and Oscillations of Elastic Systems, Consultants Bureau.
Harris C M (Ed in Chief), 1996. The Shock and Vibration Digest, McGraw-Hill.
Inman D J 2001 Prentice Hall, Engineering Vibration, 2nd Edition
Close M C, Frederick D H, Newell JC, 2002, Wiley, Modelling and analysis of Dynamic Systems, 3rd Edition
Module learning outcomes
Systematically understand key aspects of the mathematical and mechanical science principles which form the basis for the analysis of mechanical dynamics
Comprehensively understand the techniques and methods used in the analysis of dynamics of structures to study: modal properties, forced response (harmonic and transient), self-excited vibrations, parametrically excited vibrations
Demonstrate critical awareness of the importance of the appropriate modelling and demonstrate knowledge and comprehensive understanding of model reduction techniques and state space modelling .
Act independently in critical decision making on the choice of modelling approaches and methods for the analysis of complex problems
| Type | Timing | Weighting |
|---|---|---|
| Unseen Examination | Semester 1 Assessment | 80.00% |
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T1 Week 11 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Lecture | 3 hours | 11111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Yevgen Petrov
Assess convenor
/profiles/284966
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