Structural health monitoring using vibration characteristics and artificial neural networks

Overview

Structural health monitoring (SHM) has emerged as a viable technique for evaluating the performance of structures during their construction and service lives.

This project will study the application of SHM during the construction of a building or a bridge.

Staged construction and time varying loading and the changes in stiffness will be considered.

The aim of the project will be to develop a model that can predict the distress in the structure during its construction and determine its location and severity.

Vibration characteristics of the 'growing structure" and artificial neural networks (ANN) will be used.

Research activities

As part of this research project, you'll be involved in:

• reviewing the existing knowledge in this area
• applying vibration-based SHM technique to predict distress in the structure under construction
• determining the location of the distress and its severity using ANN techniques.

Outcomes

The outcomes of this project will be a model that can predict the onset of distress, its location and its severity in a structure under construction.

Remedial measures to mitigate this distress will be proposed based on the data created from the ANN.

Skills and experience

To be considered for this project, you must have interest, and some knowledge, in computer (finite element) modelling.

You should also have some understanding of high rise building/bridge construction and structural vibration.

Scholarships

You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round

Keywords

• Structual Health Monitoring
• Predicting Distress
• Construction of structure
• Vibration characteristics
• Artificial Neural Network

Contact

Contact the supervisor for more information.