Module title: Dynamics

SCQF level: 10:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: MEC10707
Module leader: Colin Boswell
School School of Engineering and the Built Environment
Subject area group: Mechanical Materials and Manufacturing Management
Prerequisites

There are no pre-requisites for this module to be added

2018/9, Trimester 1, FACE-TO-FACE,
Occurrence: 001
Primary mode of delivery: FACE-TO-FACE
Location of delivery: CHINA
Partner:
Member of staff responsible for delivering module: Colin Boswell
Module Organiser:


Learning, Teaching and Assessment (LTA) Approach:
Lectures introduce topics for study and computer activity provides application. Application of theory is supported by tutorials
which are formative assessments in WebCt and which provide instantaneous feedback. The tutorials are supported by
mathematical software. Simulation software provides applications of the theory in engineering situations and reinforces the
theory.
Embedding of employability/ PDP/ scholarship skills
Mathematical and simulation software, MathCAD and MATLAB/Simulink, are used throughout. These are widely used in
industry and there is a demand for graduates with experience in the software.
Assessment (formative and summative)
Quantitative assessment is achieved by regular class tests that are delivered through WebCt. These cover learning outcomes
LO1, LO2 and LO3. Each test draws its questions from the same bank as the tutorial. On-line tutorials provide formative
assessment whilst, on-line tests and provide quantitative assessment. A supervised exam covering all learning outcomes,
including LO4 provides quantitative assessment for the subject (choice of 4 questions from 5).
On-line tests (6) - 6 tests are available on line at any time from week 2 to week 12. Each test generally consists of 10 questions
and is time limited by WebCT to 2 hours.
Research/ teaching linkages
The teaching team engage in scholarly activity and attend events which keep them up to date with the subject material. The
students are asked to research equations, data and current practice in the subject as part of their directed, independent
learning.
Supporting equality and diversity
The lecture and tutorial materials are available in and electronic format on WebCT to cater for the diverse student group.
Timetabled academic supervision is available each taught week of the module to support students. Engineering Plus is
provided by the School as a drop in support facility for all students.

Formative Assessment:
The University is currently undertaking work to improve the quality of information provided on methods of assessment and feedback. Please refer to the section on Learning and Teaching Approaches above for further information about this module’s learning, teaching and assessment practices, including formative and summative approaches.

Summative Assessment:
The University is currently undertaking work to improve the quality of information provided on methods of assessment and feedback. Please refer to the section on Learning and Teaching Approaches above for further information about this module’s learning, teaching and assessment practices, including formative and summative approaches.

Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 24
Face To Face Practical classes and workshops 24
Independent Learning Guided independent study 149
Face To Face Centrally Time Tabled Examination 3
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Digital Examination (not Centrally Timetabled) 40 1-3 14/15 HOURS= 0, WORDS= 0
Centrally Time Tabled Examination 60 1 - 4 14/15 HOURS= 3, WORDS= 0
Component 1 subtotal: 40
Component 2 subtotal: 60
Module subtotal: 100

Description of module content:

Equations of motion of single degree of freedom systems
Frequency response functions
Solution of the differential equations for single degree of freedom systems
Natural frequency and damping ratio
Analysis of multiple degree of freedom systems using a Lagrangian approach
Eigenvalues and Eigenvectors for multiple degree of freedom systems
Modes of vibration
Vibration of beams
Random vibrations, Fourier transforms and power spectral density
Simulation of vibrating systems
Amplitude probability functions, Gaussian distribution function
Rayleigh probability distribution of fatigue cycles and their use in Miner's rule

Learning Outcomes for module:

On completion of this module you will be able to:
LO1: Formulate and solve the equations of motion of Single and multiple degree of freedom damped spring
mass systems and also the equations of motion of continuously distributed mass systems;
LO2: Frequency response functions and power spectral density
LO3: Assess the integrity of structures subject to metal fatigue from excitation that is random in amplitude;
LO4: Simulate the vibration of systems in dynamic simulation and mathematical software.

Indicative References and Reading List - URL:

Please contact your Module Leader for details
Click here to view the LibrarySearch.