Infrastructure Asset Management

Code School Level Credits Semesters
CIVE4019 Civil Engineering 4 10 Spring UK
Code
CIVE4019
School
Civil Engineering
Level
4
Credits
10
Semesters
Spring UK

Summary

This course (module) considers the use of system reliability assessment techniques to support asset management decision making. The course covers the analysis of asset failure data, how to construct and analyse asset degradation models and how to use optimisation techniques to enable the selection of optimal maintenance strategies. The techniques will be discussed in the context of their application to asset infrastructures.

For students requiring reassessment, this will be limited to the components which have been failed and these will be in the same form as the original assessment.

Target Students

MSc students in the Department of Civil Engineering.

Assessment

Assessed by end of spring semester

Educational Aims

To provide: (i) An understanding of the effects of maintenance on the management of assets; (ii) An understanding of the basic statistical, probabilistic and mathematical concepts required to predict the reliability of components in systems undergoing different asset management approaches; (iii) An understanding of how to critically compare asset management strategies; (iv) A detailed knowledge of the use of asset degradation models to make optimal maintenance decisions.

Learning Outcomes

On successful completion of this course (module), students will be able to:
1. Select and apply asset degradation and maintenance models to analyse the maintenance of assets.

2. Use appropriate modelling and optimisation techniques to enable informed decision making on maintenance management.

3. Fit a statistical distribution to historical asset data and interpret the results to identify the process of asset degradation.

This will contribute to the following programme learning outcomes (see Programme (Plan) Specifications for details):
- Knowledge and Understanding: M1, M2 
- Intellectual Skills: M3, M6

Conveners

View in Curriculum Catalogue
Last updated 07/01/2025.