Graduate Research School Available Projects Structural health monitoring of pipeline assets

Structural health monitoring of pipeline assets

Title of Project

Structural health monitoring of pipeline assets

Advisor/s

Greg Wheatley, Kenneth Leong

College or Research Centre

College of Science & Engineering

Summary of Project

A major issue of monitoring existing pipelines is that most pipelines are buried and it is not easy to get access to retrofit monitoring sensors. However, when new pipelines are installed, it is relatively easy to install monitoring systems. Such installations are expected to monitor the pipelines continuously providing warnings of any direct damage to pipelines and any deterioration of pipe and environment that can lead to reduction of the life of pipelines. Depending on the pipe characteristics, a range of measurands such as pipe strain, temperature, corrosion and thickness reduction, leakage acoustics, and pressure transient responses have been used to detect the pipe condition. Various non-destructive evaluation (NDE) methods, such as ultrasonics, radiography, acoustic emission, magnetic flux and eddy current, have been developed to detect damage in civil infrastructure, especially for the pipe networks. While these methods provide useful approaches in highly localized situations, many of these methods suffer from distinct disadvantages such as the lack of portability, susceptibility to electromagnetic interference on electrical/electronic instruments, and lack of capability for continuous performance monitoring. In addition, the ability to deploy these techniques over large and remote distances is extremely limited.” “Bursts and leakages have turned out to be one of the most frequent malfunctions in liquid pipeline distribution systems. In recent years, the issue has gained a lot of attention in research community due to associated financial costs, environmental hazards, and safety considerations. Wireless sensor network (WSN) based leakage detection and localization can provide an exceptional level of operational efficiency, safety assurance, and real-time parametric view of the entire pipeline network. It is proposed that wireless technology coupled with discrete sensors along the length of the pipeline be used to determine the remaining wall thickness. A survey of current technology would be conducted with prototypes designed and tested.

Key Words

structural health monitoring; laboratory testing; finite element analysis (FEA); prototype testing

Would suit an applicant who

has a sound academic background, research experience, an interest in electrical and mechanical engineering and strong experimental and computational skills.

Updated: 08 May 2020