- Discuss various structural health monitoring strategies envisioned in smart infrastructures and resilient structures;
- Investigate structural identification techniques employed in structural health monitoring;
- Choose and prioritise the selection of sensing systems for monitoring civil structures;
- Evaluate the design, installation and application of sensing systems for structural health monitoring;
- Integrate and apply knowledge of mathematics, science, information technology to novel and challenging monitoring situations;
- Set-up vision-based sensors and collect measurements;
- Review and apply signal processing techniques for collected measurements;
- Analyse and interpret measurement providing engineering solutions and feedback to asset owners on structure’s conditions and performance;
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Structural Health Monitoring course is a multidisciplinary course, combining materials science, structural engineering and data analytics. The course consists of strengthening and synthesizing key aspects of structural engineering, including, identification of environmental loading on structures, performance modelling of construction materials.
The prerequisite for this course is understanding materials behaviour and structural design of civil structures (e.g. bridges, tunnels, dams), and the problems of structures in usage (deterioration, overloading, fatigue, etc.).
The focus of the group project will be on the application of SHM system to different existing structures and different problems, which will include design of SHM system, selection of sensors, data acquisition, data analysis and validation of the implemented monitoring system.
Assessment
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Description |
Test type |
| Assignment #1 |
Monitoring of construction materials |
Assignment |
| Assignment #2 |
Implementation of computer vision-based SHM |
Assignment |
| Project dissemination |
Present findings from Assignment #2 |
Presentation |
Additional information:
The course will have group work and field trip(s). The student will have to work in a team and carry out measurement collection outside UT premises.
Is knowledge of programming skills necessary for this course? Please specify the skills / knowledge of which programme(s) is / are needed.
Yes. The student is expected to have at least basic programming skills. The lecturer will provided Matlab scripts, to which the student should be able to make modifications if and when required.
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