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School of Engineering and Informatics (for staff and students)

Mechanical Dynamics (518H3)

Mechanical Dynamics

Module 518H3

Module details for 2021/22.

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.

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

Demonstrate comprehensive understanding of state space modelling of dynamic systems.

Understand various dynamic phenomena including synchronous whirl of rotors, self-excited dynamics, aero-elastic instability, parametric resonance, and nonlinear dynamics.

Demonstrate an ability to implement model reduction techniques and an ability to apply deterministic time domain and frequency domain solution methods.

Demonstrate an ability to use statistical computational methods and relate those to international standards on machine vibration levels.

TypeTimingWeighting
Computer Based ExamSemester 1 Assessment80.00%
Coursework20.00%
Coursework components. Weighted as shown below.
ReportT1 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.

TermMethodDurationWeek pattern
Autumn SemesterLecture3 hours01111111111

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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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

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