AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in d ....AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in data mining and interpretation. Expected outcomes of the project include novel AI assisted approaches to conduct probabilistic structural condition monitoring with sensitive features and future structural performance prediction. This will provide significant benefits to infrastructure asset owners to reduce maintenance costs.Read moreRead less
Geopolymer concrete for thin-walled structures in marine environment. This project aims to develop ultra-high performance geopolymer concrete thin-walled structures for the critical infrastructure in the marine environment. It is expected that this project will develop novel design rules for ultra-high performance geopolymer concrete thin-walled structures based on experimental testing, numerical modelling, validation, and simulation. This project is expected to increase the durability of coasta ....Geopolymer concrete for thin-walled structures in marine environment. This project aims to develop ultra-high performance geopolymer concrete thin-walled structures for the critical infrastructure in the marine environment. It is expected that this project will develop novel design rules for ultra-high performance geopolymer concrete thin-walled structures based on experimental testing, numerical modelling, validation, and simulation. This project is expected to increase the durability of coastal infrastructures and significantly reduce the loss of their capacities due to corrosion-induced damage. The development of ultra-high performance geopolymer concrete thin-walled structures is a significant engineering discovery, which is in line with the Australian government 2030 vision for sustainable development.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL180100196
Funder
Australian Research Council
Funding Amount
$2,253,312.00
Summary
Development of multi-hazard resilient and sustainable infrastructure. This project aims to develop next generation construction of multi-hazard resilient structures for the safety and wellbeing of the public, society and economy, as well as structural health monitoring techniques for effective engineering asset management. Sustainable infrastructure development involves the use of green materials to reduce greenhouse gas emission, and new technologies to reduce construction and life-cycle mainte ....Development of multi-hazard resilient and sustainable infrastructure. This project aims to develop next generation construction of multi-hazard resilient structures for the safety and wellbeing of the public, society and economy, as well as structural health monitoring techniques for effective engineering asset management. Sustainable infrastructure development involves the use of green materials to reduce greenhouse gas emission, and new technologies to reduce construction and life-cycle maintenance cost. The project will use new green materials and techniques to prefabricate structural components which can be easily assembled and dismantled to meet the requirement for adaptation to technology advancement, urban planning and climate change. The project will advance the construction practice for sustainable infrastructure development.Read moreRead less
Hydrogen carbon waste into concrete: AI assisted nanoscience approach. The carbon waste from hydrogen production will be converted into carbon nanosheets on abundant construction materials for the creation of stronger and more durable concrete. Cutting-edge nanoscience-based experiments, as well as sophisticated modelling techniques including machine learning and finite element modelling, will be employed. The findings will drive advances in clean hydrogen production, carbon waste utilisation, c ....Hydrogen carbon waste into concrete: AI assisted nanoscience approach. The carbon waste from hydrogen production will be converted into carbon nanosheets on abundant construction materials for the creation of stronger and more durable concrete. Cutting-edge nanoscience-based experiments, as well as sophisticated modelling techniques including machine learning and finite element modelling, will be employed. The findings will drive advances in clean hydrogen production, carbon waste utilisation, cement hydration, nanotechnology and concrete technology for the next generation of an upskilled workforce and the promotion of a circular economy. This project will be carried out in collaboration with Australian and international renowned experts in computational modelling, nanomaterials and concrete materials.Read moreRead less