Experiment-numerical-virtual Generative Design for Nondeterministic Impacts. This project will establish an advanced nondeterministic design methodology to uncover the optimised material properties and 3D printed metastructural capacity in real-time against impact loading. It will develop a rigorous framework that integrates numerical simulation, experiment, and machine learning-based virtual modelling to tackle practical challenges in design and manufacture of impact-proof materials and structu ....Experiment-numerical-virtual Generative Design for Nondeterministic Impacts. This project will establish an advanced nondeterministic design methodology to uncover the optimised material properties and 3D printed metastructural capacity in real-time against impact loading. It will develop a rigorous framework that integrates numerical simulation, experiment, and machine learning-based virtual modelling to tackle practical challenges in design and manufacture of impact-proof materials and structures with intrinsic uncertainties. The generative design-calibration system unifying experimental-numerical-virtual processes will largely reduce the need for repetitive large-scale experimental tests. This project benefits civil, aerospace, automotive, and defence with competitive advantage through technological innovation.Read moreRead less
Optimisation of Buildable Structures for 3D Concrete Printing. This project aims to establish a systematic approach to seamlessly integrate optimisation, characterisation, and 3D concrete printing (3DCP) manufacturing for the construction and building industry. New optimisation algorithms will first overcome the manufacturing limitations of 3DCP by considering the print path and early-age concrete properties, and directly create high-performance and innovative designs of buildable structures. Th ....Optimisation of Buildable Structures for 3D Concrete Printing. This project aims to establish a systematic approach to seamlessly integrate optimisation, characterisation, and 3D concrete printing (3DCP) manufacturing for the construction and building industry. New optimisation algorithms will first overcome the manufacturing limitations of 3DCP by considering the print path and early-age concrete properties, and directly create high-performance and innovative designs of buildable structures. The outcomes of this project include a powerful design tool that enables architects and engineers to optimally design and construct the next generation of cost-saving and aesthetically pleasing buildings and infrastructures through the adoption of modern 3DCP technology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100960
Funder
Australian Research Council
Funding Amount
$420,198.00
Summary
Reverse Design of Tuneable 4D Printed Materials for Soft Robotics. This project aims to facilitate the design and manufacture of specialised objects that can change their shape over time. These types of objects are made from ‘tuneable metamaterials’, which can be made by 4D printing: 3D printing with an added dimension of time. These materials are becoming indispensable in many fields- including non-metallic soft robots used in medicine or the exploration of harsh environments like space- but ar ....Reverse Design of Tuneable 4D Printed Materials for Soft Robotics. This project aims to facilitate the design and manufacture of specialised objects that can change their shape over time. These types of objects are made from ‘tuneable metamaterials’, which can be made by 4D printing: 3D printing with an added dimension of time. These materials are becoming indispensable in many fields- including non-metallic soft robots used in medicine or the exploration of harsh environments like space- but are currently onerous to make. This project will develop a revolutionary new method for a user to work backward from defining the desired qualities to the manufacture of the object that satisfies their needs. It will also create a library that will allow users to quickly select a material that will be appropriate.Read moreRead less
Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expect ....Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expected outcomes include protocol to accurately monitor emissions, models to predict emission under various conditions, and mitigation guideline for typical plant configurations. The anticipated benefit is a significant reduction in GHG emissions from urban water industry and support it to meet net-zero-emission goal by 2050.Read moreRead less