2024/25 Taught Postgraduate Module Catalogue
CIVE5960M Advanced Structural Analysis
15 creditsClass Size: 120
Module manager: Dr Ioannis Mitseas
Email: I.Mitseas@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2024/25
Pre-requisites
| CIVE1360 | Structural Design and Analysis |
| CIVE2360 | Structural Analysis 1 |
| CIVE3390 | Structural Analysis 2 |
This module is mutually exclusive with
| CIVE5970M | Advanced Structural Analysis (MSc/PGD) |
This module is not approved as an Elective
Objectives
The aim of the course is to extend the understanding of structural behaviour and to apply computational methods for structural analysis and design. This course will extend the basic structural analysis methods developed in the prerequisite course to the following advanced structural analysis areas:(a) Finite element method and its applications in structure analysis;
(b) Dynamic analysis of space structures
Students will be confident in implementing computational modelling methods to solve both static and dynamic structural analysis problems.
Learning outcomes
1. Apply a comprehensive knowledge of mathematics/ engineering principles, to formulate/analyse complex problems related to structural analysis, reaching substantial conclusions (AHEP 4 Learning Outcome M1, M2);
2. Develop understanding of the finite element (FE) method of analysis, its mode of application, and the role of commercial software in performing FE computations (AHEP 4 Learning Outcome M1, M2, M3);
3. Select and apply appropriate computational and analytical techniques to model complex problems including using finite element analysis software, discussing the limitations of the techniques employed (AHEP 4 Learning Outcome M3);
4. Appreciate and apply the principles underlying the dynamic analysis of pinned and rigid-joined structural frames structures; with options of introducing the dynamic behaviour of more complex structure forms (AHEP 4 Learning Outcome M1, M2);
5. Design solutions for complex problems that evidence some originality and meet a combination of user needs (AHEP 4 Learning Outcome M5);
6. Assess the ramifications of problem-solving approaches and work towards minimizing any adverse effects (AHEP 4 Learning Outcome M7);
7. Select and apply appropriate materials, equipment, engineering technologies and processes, recognising their limitations (AHEP 4 Learning Outcome M13).
Skills outcomes
By the end of the course students should be able to have the understanding and skills of:
Academic:
a). The ability to plan time, prioritise tasks and organise academic and personal commitments effectively.
b). An ability to extract and evaluate pertinent data and to apply engineering analysis techniques in the solution of structural analysis problems including the use of Finite element analysis.
c). An ability to apply the principles underlying the dynamic analysis of structures; with options of introducing the dynamic behaviour of more complex structure forms.
Digital:
d). The ability to find, evaluate, organise and share information across a variety of formats, ensuring the reliability and integrity both of the sources used.
e). The ability to use digital technology and techniques to create digital items, and the willingness to engage with new practices and perspectives to solve problems, make decisions and answer questions.
Enterprise:
f). The ability to search for, evaluate and use appropriate and relevant information sources to help strengthen the quality of academic work and independent research.
Sustainability Skills:
g). Understands and evaluates multiple outcomes; their own visions for the future; applies the precautionary principle; assesses the consequences of actions; deals with risks and changes; uses scenario planning
h). Applies different problem-solving frameworks to complex sustainable development problems; develops viable, inclusive and equitable solutions; utilises appropriate competencies to solve problems; develops innovative and creative solutions.
Work ready:
i). The ability to prioritise, work efficiently and productively and to manage your time well in order to meet deadlines.
j). The ability to take a logical approach to solving problems; resolving issues by tackling from different angles, using both analytical and numerical skills. The ability to understand, interpret, analyse and manipulate analytical and numerical data.
k). The ability to take a logical approach to solving problems; resolving issues by tackling from different angles, using both analytical and creative skills. The ability to understand, interpret, analyse and manipulate numerical data.
l). The ability to gather information from a range of sources, analyse, and interpret data to aid understanding and anticipate problems. To use reasoning and judgement to identify needs, make decisions, solve problems, and respond with actions.
Syllabus
Fundamental principles and theoretical methods in the following topics will be introduced in conjunction with the practical applications and the computational experiments:
1. Review of the fundamental theories of Finite Element Method (6 lectures);
2. Structural analysis using Finite Element Method (6 lectures);
3. Computational Practical Classes (7 x 3 hour sessions);
4. Structural dynamic analysis, principles and theories (8 lectures).
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Consultation | 9 | 1.00 | 9.00 |
| Lecture | 11 | 2.00 | 22.00 |
| Tutorial | 11 | 1.00 | 11.00 |
| Private study hours | 108.00 | ||
| Total Contact hours | 42.00 | ||
| Total hours (100hr per 10 credits) | 150.00 | ||
Private study
Topics of independent study identified by lecturers to support learning will include a review of the dynamic and stability analysis in the structural design, and the applications of numerical methods (especially FEM) in civil engineering.User's instructions of a FEM software package and references on the modelling techniques, such as pre- and post-treatment of a numerical simulations will be suggested to students.
Opportunities for Formative Feedback
Progress will be monitored in the tutorial periods.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Report | Computational modelling Coursework Project | 67.00 |
| Total percentage (Assessment Coursework) | 67.00 | |
Candidates are required to answer 3 questions, and score a combined 50% (exam & project) to pass. Student only needs to re-sit the part of the assessment achieved below 50%.
Exams
| Exam type | Exam duration | % of formal assessment |
| Standard exam (closed essays, MCQs etc) | 5 hr 00 mins | 33.00 |
| Total percentage (Assessment Exams) | 33.00 | |
Resitting students will be required to resit the elements in which they obtained less than 50%.
Reading list
The reading list is available from the Library websiteLast updated: 11/06/2024
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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