Advanced Dynamic Analysis

Please note

This document only provides information for the academic year selected and does not form part of the student contract

School:

School of Computing and Engineering

Credit Rating:

Level (including FHEQ):

M (FHEQ Level 7)

Graded or Non Graded:

Graded

Version Valid From:

2023-09-01

Module Leader:

Yann Bezin

Version Number

2023.02

Learning Methods

Tutorial and Project Supervision

Lecture

Practical Classes and Demonstrations

Guided Independent Study

Requirements

Recommended Prior Study

Synopsis

The module uses selected topics to give you an advanced understanding of the theory and analytical tools that can be applied to dynamic mechanical systems. You will develop the ability to develop models and analyse complex systems using commercial software packages and to specify appropriate optimisation and mitigation techniques. The module further provides, through theory and practical examples, the means to quantify and solve realistic problems. Laboratory testing of a practical system will be used to provide data to validate models.
Fundamentals of acoustics are covered including sound sources and propagation and mitigation of noise.
Measurement techniques form part of the investigative nature of the subject and general empirical methodology. Mathematical analysis packages are used extensively throughout the module.

Learning Strategy

In this module the learners will engage in a blend of delivery methods facilitating both individual and collaborative aspects of learning to achieve the specified learning outcomes. In particular, this will require the learner to engage with the VLE content, including extensive pre-recorded teaching and support materials, where the learning is facilitated by the tutor-led two-way asynchronous discussion board. To focus the guided learning process, the tutor will set weekly quizzes/assignments (SAIL). These two elements will culminate in face-to-face sessions which will reinforce the learning by clarifying the content through student-led questions/answers interaction. These sessions are followed up by tutorials to illustrate the module content and enable practice in more depth. An early diagnostic test to ensure that the required theory is understood to the right depth will be followed by case studies across a range of applications, with the objective of developing independence and the sense of ownership of knowledge. Practical computer labs will give experience of relevant software and allow the application and development of learning. Practical laboratories will give small groups the opportunity to develop practical techniques and relate subsequent analysis directly to their theoretical knowledge. Students with disability will be accommodated by close adherence to the University of Huddersfield guidelines which inter alia include: (i) pre-recorded materials with captions of suitable size, (ii) Power Point slides following the appropriate font size and colour contrast, (iii) early availability of all materials on VLE – typically at least two weeks in advance.

Outline Syllabus

Review of vibration theory including damped and undamped free and forced dynamic systemsModel development for practical dynamic systemsNon-linearities and methods for modelling and evaluating their effects on system behaviour Fundamentals of acoustics Measurement and processing of dataValidation Vibration and noise control

Learning Outcomes

On successful completion of this module students will

Have an in-depth knowledge of the theory relevant to the dynamic behaviour of mechanical systems.

Gain systematic understanding of the techniques available to mathematically model the behaviour of dynamic systems.

Have experience of using mathematical models to analyse and solve practical dynamic problems.

Have an understanding of acoustic issues including methods for dealing with noise problems.

Systematically analyse mechanical vibrating systems using appropriate software.

Interpret the results from these analyses demonstrating self-direction and originality.

Select appropriate measurement techniques to measure the vibration or noise characteristics of a complex dynamic system.

Formative Assessment

Assessment 1: Other

Assessment 2: Other

Assessment 3: Other

Assessment 4: Focused classwork observations

Summative Assessment

Assessment 1: Written Assignment

Description:Taught material will contribute an element every week to the SAIL programme (Score As I Learn) submitted via the VLE platform. 11 x 15 minutes weekly assignments (quizzes). Each assignment (quiz) will be worth 3%. Taking the best 8 out of 11 scores.

Assessment Weight:24

Assessment Length:10 Hours (Typical Effort)

Module Learning Outcomes:MLO1, MLO2, MLO3, MLO4

Individual or Group:Individual

Final Assessment Component:No

Marked Anonymously:Yes

Eligible for Tutor Reassessment:No

Assessment 2: Written Assignment

Description:A written report on a computer simulation of a mechanical system. The assignment will include the development of a model using appropriate techniques and the simulation results for a specific test case.

Assessment Weight:38

Assessment Length:1200 Words (Word Count)

Module Learning Outcomes:MLO4, MLO5

Individual or Group:Individual

Final Assessment Component:No

Marked Anonymously:No

Eligible for Tutor Reassessment:Yes

Assessment 3: Written Assignment

Description:Laboratory.A written assignment which will include detailed analysis of the results from a laboratory test or a computer simulation and the optimisation of a design based on these results. The report will include data processing and validation of the simulation results, comments on strengths and weaknesses of the methods and conclusions regarding the modelling methods and their applicability to real world problems.

Assessment Weight:38

Assessment Length:1200 Words (Word Count)

Module Learning Outcomes:MLO5, MLO6, MLO7

Individual or Group:Individual

Final Assessment Component:Yes

Marked Anonymously:No

Eligible for Tutor Reassessment:No

Assessment Criteria

Task 1The accuracy with which learning is demonstrated.Task 2 & 3The student should demonstrate clear understanding of the required range of knowledge. The required software models are accurately defined.The outcomes required from the analysis are clearly expressed in terms of the problem the analysis is being carried out for.The quality … For more content click the Read More button below.

Task 1
The accuracy with which learning is demonstrated.
Task 2 & 3
The student should demonstrate clear understanding of the required range of knowledge.
The required software models are accurately defined.
The outcomes required from the analysis are clearly expressed in terms of the problem the analysis is being carried out for.
The quality of the analysis is reviewed.
Department-wide criteria for good report writing skills are demonstrated.

Course and Module Catalogue