Combining transient micro-reflections and multi-sensor arrays for condition assessment of buried pipes. This project will develop an accurate and reliable approach for assessing the condition of pipelines. This new approach will reduce costs and save considerable amounts of water each year, as it will assist utilities in preventing major failures such as pipe bursts, and performing strategically targeted maintenance, replacement and rehabilitation.
Detecting developing cracks before pipe bursts using smart sensor systems. This project aims to significantly reduce the number of pipe bursts in cities by detecting the leaks from developing cracks on water supply pipes just in time. New techniques will be developed for reliable and timely detection using the existing sensor network in the Adelaide CBD. Specialised monitoring stations will be developed with adaptive noise-cancellation algorithms to detect small leak signals in noisy city enviro ....Detecting developing cracks before pipe bursts using smart sensor systems. This project aims to significantly reduce the number of pipe bursts in cities by detecting the leaks from developing cracks on water supply pipes just in time. New techniques will be developed for reliable and timely detection using the existing sensor network in the Adelaide CBD. Specialised monitoring stations will be developed with adaptive noise-cancellation algorithms to detect small leak signals in noisy city environments. Expected outcomes include an effective pipe burst early warning system and the implementation of an active burst prevention and targeted pipe replacement strategy. This should significantly reduce the burst rates and associated interruptions in Adelaide and save millions of dollars every year in pipe relay programs.Read moreRead less
Cost Effective Pipeline Condition Assessment Using Paired Pressure Sensor Arrays. Water distribution networks represent society's most important infrastructure asset. They are buried pipes and are often old and deteriorating. Cost-effective methods to assess their physical condition are urgently needed. This research will develop a novel and advanced approach to determine the interior condition of pipes quickly and effectively using small water hammer pulses or waves. Paired pressure sensor arra ....Cost Effective Pipeline Condition Assessment Using Paired Pressure Sensor Arrays. Water distribution networks represent society's most important infrastructure asset. They are buried pipes and are often old and deteriorating. Cost-effective methods to assess their physical condition are urgently needed. This research will develop a novel and advanced approach to determine the interior condition of pipes quickly and effectively using small water hammer pulses or waves. Paired pressure sensor arrays will be used to measure reflections of the waves in pipes and these methods will enable finer resolution and identification of pipeline faults, such as wall thickness loss and leakage while at the same time allowing operational continuity. The outcome will be powerful tools to more cost effectively manage these crucial assets.Read moreRead less
High-resolution pipeline condition assessment using hydraulic transients. This project aims to develop urgently needed non-invasive methods to assess fine detail of a pipe’s condition and allow ‘just in time’ predictive repair. Water distribution networks are society's most important infrastructure asset. They consist of buried pipes that are often old and deteriorating, and annual maintenance overhead exceeds $1 billion per year in Australia alone. The project will develop cost-effective powerf ....High-resolution pipeline condition assessment using hydraulic transients. This project aims to develop urgently needed non-invasive methods to assess fine detail of a pipe’s condition and allow ‘just in time’ predictive repair. Water distribution networks are society's most important infrastructure asset. They consist of buried pipes that are often old and deteriorating, and annual maintenance overhead exceeds $1 billion per year in Australia alone. The project will develop cost-effective powerful tools to identify faults, such as pipe wall corrosion and blockages, while allowing operational continuity. The expected outcome is high-resolution images of wall condition of pipes using high-frequency pressure transients and sophisticated fibre optic sensor arrays.Read moreRead less
Next-generation smart water network for performance-driven asset management. This project aims to develop smart water network systems and techniques for continuous monitoring and early detection of structural failure in water distribution systems. Water assets are critical infrastructure, and they consist of a network of buried pipes that are old and deteriorating, with an annual maintenance overhead exceeding $1billion per year in Australia. This project is expected to deliver next-generation s ....Next-generation smart water network for performance-driven asset management. This project aims to develop smart water network systems and techniques for continuous monitoring and early detection of structural failure in water distribution systems. Water assets are critical infrastructure, and they consist of a network of buried pipes that are old and deteriorating, with an annual maintenance overhead exceeding $1billion per year in Australia. This project is expected to deliver next-generation smart water technology that enables continuous assessment of the actual performance of water pipe networks, guide “just in time” pipe replacement and optimise operations. This technology will assist asset managers to make informed decisions, strategically prioritise investment and extend asset life.Read moreRead less
Smart Pipe Condition Assessment in Water Distribution Systems. The project aims to develop an urgently needed smart pipe fault diagnosis, characterisation and prognosis system. Analysis techniques will be used for the detailed mapping of buried pipe condition between access points using micro-sized transient pressure waves. Water assets are critical infrastructure and they consist of a network of pipes that are often old and deteriorating. The annual maintenance cost exceeds $1b per year in Aus ....Smart Pipe Condition Assessment in Water Distribution Systems. The project aims to develop an urgently needed smart pipe fault diagnosis, characterisation and prognosis system. Analysis techniques will be used for the detailed mapping of buried pipe condition between access points using micro-sized transient pressure waves. Water assets are critical infrastructure and they consist of a network of pipes that are often old and deteriorating. The annual maintenance cost exceeds $1b per year in Australia. The outcome will be a next-generation tool that allows water utilities to move from reactive emergency repairs to proactive repair and predictive replacement. This will enable performance-driven asset management, extending asset life and replacing deteriorated high-risk pipe sections in a timely manner.Read moreRead less
Closing the Gap in Pipe Condition Assessment using Hydro-Acoustic Waves. Worldwide, the deterioration of water distribution pipeline infrastructure is driving an unsustainable explosion in maintenance and repair costs. In collaboration with industry leader Detection Services, this project will develop new methods to detect pipe condition faults at a scale and precision not currently possible. The outcome will be an advanced, yet practical, technology that provides critical information on pipe co ....Closing the Gap in Pipe Condition Assessment using Hydro-Acoustic Waves. Worldwide, the deterioration of water distribution pipeline infrastructure is driving an unsustainable explosion in maintenance and repair costs. In collaboration with industry leader Detection Services, this project will develop new methods to detect pipe condition faults at a scale and precision not currently possible. The outcome will be an advanced, yet practical, technology that provides critical information on pipe condition using new innovative active hydro-acoustic signal generators and sensors, combined with state-of-the-art signal analysis methods. The unprecedented cost-effectiveness of the technology will ensure a broad use in the water industry for targeted and efficient action, creating jobs and saving costs.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100162
Funder
Australian Research Council
Funding Amount
$150,000.00
Summary
Integrated 2MHz Nuclear Magnetic Resonance high temperature tri-axial flow cell apparatus. The development of an integrated facility for petrophysical measurements allows the efficient use of expensive rock cores from gas or liquid reservoirs to develop reliable cross-correlations at conditions encountered in real reservoirs. The equipment is optimised for applications to unconventional reservoirs like Australia’s gas resources, in particular coal-bed methane reservoirs and gas reservoirs where ....Integrated 2MHz Nuclear Magnetic Resonance high temperature tri-axial flow cell apparatus. The development of an integrated facility for petrophysical measurements allows the efficient use of expensive rock cores from gas or liquid reservoirs to develop reliable cross-correlations at conditions encountered in real reservoirs. The equipment is optimised for applications to unconventional reservoirs like Australia’s gas resources, in particular coal-bed methane reservoirs and gas reservoirs where gas is difficult to extract.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less