Reconstructing land tenure maps of Australia in 3D. Existing land tenure maps of above and below ground, such as apartment ownership, tunnels, and mining, are maintained using 2D drawings. However, the drawings are not structured and valuable for detailed and advanced visualisation, analytics, and simulation, which are essential for testing potential interventions and policy development. This project aims to develop a data validation framework for transforming current drawings and reconstructing ....Reconstructing land tenure maps of Australia in 3D. Existing land tenure maps of above and below ground, such as apartment ownership, tunnels, and mining, are maintained using 2D drawings. However, the drawings are not structured and valuable for detailed and advanced visualisation, analytics, and simulation, which are essential for testing potential interventions and policy development. This project aims to develop a data validation framework for transforming current drawings and reconstructing them into 3D models. The outcomes include validation principles, formal mathematical terms, and computational algorithms. Benefits include a cost-effective onshore alternative to offshore 3D reconstruction practices, efficient land development and infrastructure planning, and fewer property disputes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240101049
Funder
Australian Research Council
Funding Amount
$432,485.00
Summary
Modeling the Diffusion of Evolving Rumours in Social Networks. This project aims to model the complex evolution and diffusion process of evolving rumours in social media. This project expects to develop new theories and associated techniques from operational research (adaptive genetic algorithms), mathematics (network theory), and machine learning (generative adversarial networks) to tackle the challenges in this project. This project aims to develop (1) novel models for the evolution of a rumou ....Modeling the Diffusion of Evolving Rumours in Social Networks. This project aims to model the complex evolution and diffusion process of evolving rumours in social media. This project expects to develop new theories and associated techniques from operational research (adaptive genetic algorithms), mathematics (network theory), and machine learning (generative adversarial networks) to tackle the challenges in this project. This project aims to develop (1) novel models for the evolution of a rumour, (2) novel models for the diffusion of an evolving rumour, and (3) techniques for detecting the diffusion sources of the original rumour and its mutations. This not only will constitute a major advancement in the theory and application of rumour study but also lead the decision-makers in debunking rumours.Read moreRead less
Sewer corrosion reduction through model-supported ventilation control. Ventilation is one of the key technologies for sewer corrosion control. However, its design and operation are currently based on experience and empirical equations, often leading to unsatisfactory results. By integrating in-depth laboratory and pilot-sewer studies under defined conditions with extensive field investigations, this multidisciplinary project aims to develop critical models to predict the corrosion process in res ....Sewer corrosion reduction through model-supported ventilation control. Ventilation is one of the key technologies for sewer corrosion control. However, its design and operation are currently based on experience and empirical equations, often leading to unsatisfactory results. By integrating in-depth laboratory and pilot-sewer studies under defined conditions with extensive field investigations, this multidisciplinary project aims to develop critical models to predict the corrosion process in response to ventilation and dynamic wastewater and atmospheric conditions, enabling model-based sewer ventilation design and operation. The project also aims to deliver novel, field-demonstrated ventilation strategies. The project findings will be incorporated in the Australian ventilation design and operation guidelines.Read moreRead less
Bidirectional Evolutionary Structural Optimization for Transient Problems. Aims: This proposal aims to expand the bidirectional evolutionary structural optimisation (BESO) method for transient mechanical, multiphysical and robotic problems.
Significance: The study will develop new BESO transient algorithms by integrating time-dependent analysis and stepwise design sensitivity in multicriteria and multidisciplinary optimisation.
Expected outcomes: The project will largely broaden the algorithmi ....Bidirectional Evolutionary Structural Optimization for Transient Problems. Aims: This proposal aims to expand the bidirectional evolutionary structural optimisation (BESO) method for transient mechanical, multiphysical and robotic problems.
Significance: The study will develop new BESO transient algorithms by integrating time-dependent analysis and stepwise design sensitivity in multicriteria and multidisciplinary optimisation.
Expected outcomes: The project will largely broaden the algorithmic scope of BESO and enables it to solve more extensive real-life problems with time-varying nature.
Benefits include a new BESO design framework and computer program, as well as a series of novel designs, potentially being implemented for aerospace, automotive, biomedical, mechanical, civil and mechatronic applications.Read moreRead less
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
Microstructural-Functional Effect of Silver Diammine Fluoride on Apatites. This project aims to develop a fundamental understanding at the nanostructural level of the factors that contribute to the enhanced mineralisation and mechanical properties of dentine and enamel following the treatment with silver diammine fluoride (SDF). A variety of advanced nanomechanical, tomographic and microscopic techniques will be used to characterise sound, carious and SDF treated tissue. The new biomechanical ev ....Microstructural-Functional Effect of Silver Diammine Fluoride on Apatites. This project aims to develop a fundamental understanding at the nanostructural level of the factors that contribute to the enhanced mineralisation and mechanical properties of dentine and enamel following the treatment with silver diammine fluoride (SDF). A variety of advanced nanomechanical, tomographic and microscopic techniques will be used to characterise sound, carious and SDF treated tissue. The new biomechanical evidence on the underlying mechanisms, alternative protocols, delivery systems enable to optimise the treatment. The scientific insights into arresting/repairing damage processes will provide critical data for developing minimal intervention protocols for pediatric and geriatric populations.Read moreRead less
Novel multiscale fibre composites for cryogenic space technologies. This project aims to develop new composite materials technologies for cryogenic space applications. Multifunctional nanomaterials with negative thermal expansion properties will be developed to simultaneously reduce thermal stress and improve fracture toughness, suppressing microcracking of fibre composites observed in current materials at cryogenic temperatures. New interleaves will be developed to act as gas barriers and provi ....Novel multiscale fibre composites for cryogenic space technologies. This project aims to develop new composite materials technologies for cryogenic space applications. Multifunctional nanomaterials with negative thermal expansion properties will be developed to simultaneously reduce thermal stress and improve fracture toughness, suppressing microcracking of fibre composites observed in current materials at cryogenic temperatures. New interleaves will be developed to act as gas barriers and provide strength. The composites will provide a new lightweight solution for storing cryogenic propellants such as liquid hydrogen and oxygen, for the next generation re-usable spacecraft. The outcomes of this project will enable Australian companies to produce and export specialised, high-performance composite products.Read moreRead less
Topological Design of Mechanical Meta-Structures. This project aims to establish a new computational design methodology to address current challenges facing creation of ultralight structures with ultra-high-performance characteristics. The latest technologies in structural topology optimization and its correlated numerical simulation and structural analysis methods will be unified towards an integrated design framework. Expected outcomes include an advanced generative design platform for discove ....Topological Design of Mechanical Meta-Structures. This project aims to establish a new computational design methodology to address current challenges facing creation of ultralight structures with ultra-high-performance characteristics. The latest technologies in structural topology optimization and its correlated numerical simulation and structural analysis methods will be unified towards an integrated design framework. Expected outcomes include an advanced generative design platform for discovering novel geometries to underpin new meta-structure architectures, validated by appropriate fabrication techniques considering their geometric complexity. Such capabilities will benefit defence, civil, aerospace, energy and transport industries that pursue competitive advantage through innovation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101683
Funder
Australian Research Council
Funding Amount
$448,354.00
Summary
Computational Design of Defect-Free Additive Manufactured Ceramic Structure. Despite its importance and potential, ceramic additive manufacturing (AM) is facing significant challenge for its inherent material characteristics prone to shrinkage and fracture during fabrication process. This project aims to fill a knowledge gap by developing a new computational design framework for a commonly-used indirect AM process. It will address a range of AM issues, such as residual stress/distortion, cracks, ....Computational Design of Defect-Free Additive Manufactured Ceramic Structure. Despite its importance and potential, ceramic additive manufacturing (AM) is facing significant challenge for its inherent material characteristics prone to shrinkage and fracture during fabrication process. This project aims to fill a knowledge gap by developing a new computational design framework for a commonly-used indirect AM process. It will address a range of AM issues, such as residual stress/distortion, cracks, and uncertainty in a nondeterministic context. The study is expected to establish novel design methodologies for ceramic AM with process modelling, robust/reliable optimisation, and fracture-based design. It will provide ceramic industry with a new framework for biomedical, aerospace and mechanical applications.Read moreRead less