Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of ....Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of the project will be a significantly improved prediction tool. It is also anticipated that the project will result in improvements in dam and public safety, and more efficient use of funds for dam safety upgrades and management.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC170100006
Funder
Australian Research Council
Funding Amount
$3,937,625.00
Summary
ARC Training Centre for Advanced Technologies in Rail Track Infrastructure. The ARC Training Centre for Advanced Technologies in Rail Track Infrastructure aims to transform Australia’s rail construction and maintenance technologies through specialist training of industry-focused researchers. Generation of new knowledge and close collaboration with companies within the rail supply chain will result in enhanced rail capacity and supply chain efficiency across the rail network. This will include in ....ARC Training Centre for Advanced Technologies in Rail Track Infrastructure. The ARC Training Centre for Advanced Technologies in Rail Track Infrastructure aims to transform Australia’s rail construction and maintenance technologies through specialist training of industry-focused researchers. Generation of new knowledge and close collaboration with companies within the rail supply chain will result in enhanced rail capacity and supply chain efficiency across the rail network. This will include increased axle loads and higher speeds, greater safety margins, reduced construction and maintenance costs, and a body of competent railway professionals in the nation’s work force.Read moreRead less
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Read moreRead less