Reliability and design of 3D printed metal structures. The project will produce a design framework for additively manufactured (3D printed) metal structures. The project will develop open source algorithms for predicting (i) mechanical properties of 3D printed metals for given printing parameters and (ii) internal stresses and distortions arising from the printing process. Underpinned by experiments on structural components and structural reliability analyses, models will be calibrated for the n ....Reliability and design of 3D printed metal structures. The project will produce a design framework for additively manufactured (3D printed) metal structures. The project will develop open source algorithms for predicting (i) mechanical properties of 3D printed metals for given printing parameters and (ii) internal stresses and distortions arising from the printing process. Underpinned by experiments on structural components and structural reliability analyses, models will be calibrated for the nonlinear analysis of 3D printed structures, and a methodology will be set out for designing 3D printed metal structures with acceptably low probability of failure. The project will enable structural engineers to safely and efficiently design 3D printed metal structures and components.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100876
Funder
Australian Research Council
Funding Amount
$413,000.00
Summary
Smart Optimisation of Functionally Graded Porous Structures. This project aims to develop a novel smart optimisation method for shaping the porosity geometries of metal foams for design requirements. Although these functionally graded porous structures have superior engineering properties, efficient examination methods to understand the mechanical behaviour of irregular graded porosities are lacking. Expected outcomes of this project include the expansion of fundamental knowledge in porous media ....Smart Optimisation of Functionally Graded Porous Structures. This project aims to develop a novel smart optimisation method for shaping the porosity geometries of metal foams for design requirements. Although these functionally graded porous structures have superior engineering properties, efficient examination methods to understand the mechanical behaviour of irregular graded porosities are lacking. Expected outcomes of this project include the expansion of fundamental knowledge in porous media and new technologies to build stronger and lighter multifunctional structural components. The project will provide significant benefits, including enhanced manufacturing capacities of local industries to fabricate metal foam products, new job opportunities in a growing market, and less carbon emissions.Read moreRead less
Complete limit state analysis of steel structural framework. This project aims to produce a design-by-analysis method for steel frameworks that explicitly models the complete set of failure modes including fracture of connections. The project will develop models that can accurately predict the fracture behaviour of welded and bolted connections, and system reliability calibrations that account for random variations in the parameters controlling the strength of steel frameworks including fracture ....Complete limit state analysis of steel structural framework. This project aims to produce a design-by-analysis method for steel frameworks that explicitly models the complete set of failure modes including fracture of connections. The project will develop models that can accurately predict the fracture behaviour of welded and bolted connections, and system reliability calibrations that account for random variations in the parameters controlling the strength of steel frameworks including fracture. The outcomes of this project will advance the design of steel structures, as it will become possible to analyse any type of structure for any type of failure including fracture. The design method will enable Australian structural engineers to enhance their competitive edge internationally, and maintain their preeminent record of producing innovative structural solutions.Read moreRead less
Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty a ....Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty and test multiple geological scenarios. This enhanced capability is important for the future of Australia's subsurface management, including urban geology and our continuously growing sustainable resources industry.Read moreRead less
Asgard archaea: the first eukaryotic cells? . This project aims to uncover the role of unique microorganisms (Asgard archaea) in the origin of eukaryotes. These archaea may represent a ‘missing-link’ in eukaryotic evolution and are in abundance in the stromatolites in Shark Bay, Western Australia. Employing an innovative and interdisciplinary approach of cutting-edge molecular biology and high-resolution microscopy, this project expects to generate insights into fundamental aspects of evolution ....Asgard archaea: the first eukaryotic cells? . This project aims to uncover the role of unique microorganisms (Asgard archaea) in the origin of eukaryotes. These archaea may represent a ‘missing-link’ in eukaryotic evolution and are in abundance in the stromatolites in Shark Bay, Western Australia. Employing an innovative and interdisciplinary approach of cutting-edge molecular biology and high-resolution microscopy, this project expects to generate insights into fundamental aspects of evolution and cell biology. Expected outcomes include the discovery of unique branches of life and the proposal of new models for the emergence of eukaryotes. This research should allow for benefits across a spectrum of environmental and social gains, including improved ties with Indigenous communities.Read moreRead less
Real-time bridge performance evaluation based on crowdsourcing and learning. This project aims to develop a novel strategy utilizing the real-time measurements from moving vehicles and bridges for evaluating the safety and operational performance of bridges based on transfer learning and vehicle-bridge interaction model. This is the first essential study on integrating the bridge-moving load models with transfer learning to extract common knowledge from simulation experiments to support the asse ....Real-time bridge performance evaluation based on crowdsourcing and learning. This project aims to develop a novel strategy utilizing the real-time measurements from moving vehicles and bridges for evaluating the safety and operational performance of bridges based on transfer learning and vehicle-bridge interaction model. This is the first essential study on integrating the bridge-moving load models with transfer learning to extract common knowledge from simulation experiments to support the assessment of damaged status in practice. The project will provide an engineer-friendly low cost monitoring system for its deployment, management and maintenance of existing transport infrastructure. The innovative techniques developed enable the safe operation and reliable evaluation and maintenance of transport infrastructure.Read moreRead less
Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop ....Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).Read moreRead less
Advanced Molecular Frameworks for Sodium Battery Electrode Applications. This project aims to develop new molecular materials capable of high capacity sodium-ion insertion. Through an innovative interdisciplinary approach that targets the synthesis and detailed characterisation of an extensive family of materials this project expects to generate major advances in the understanding of how the chemical, physical and structural attributes of the materials relate to their electrical charge/discharge ....Advanced Molecular Frameworks for Sodium Battery Electrode Applications. This project aims to develop new molecular materials capable of high capacity sodium-ion insertion. Through an innovative interdisciplinary approach that targets the synthesis and detailed characterisation of an extensive family of materials this project expects to generate major advances in the understanding of how the chemical, physical and structural attributes of the materials relate to their electrical charge/discharge behaviours. Significant anticipated outcomes and benefits include the development of new material design approaches that optimise battery electrode performance across a diverse parameter space, and the generation of advanced new materials worthy of commercial development in low-cost, large-scale battery applications.Read moreRead less
Measuring uncertainty in global housing markets and its risk to Australia. This project aims to develop and construct a measure of systemic risk for the national real-estate markets in Australia, and its main trading partners, namely China, Japan, New Zealand, United Kingdom and United States of America. Recently developed methodology will be used to investigate how real estate risks migrate across these countries over time, and during periods of financial turbulence. This methodology is intende ....Measuring uncertainty in global housing markets and its risk to Australia. This project aims to develop and construct a measure of systemic risk for the national real-estate markets in Australia, and its main trading partners, namely China, Japan, New Zealand, United Kingdom and United States of America. Recently developed methodology will be used to investigate how real estate risks migrate across these countries over time, and during periods of financial turbulence. This methodology is intended to be employed as part of a market stability surveillance program and for assessing the impact of real-estate risk on the overall economy. Early detection of the onset of future housing bubble collapses would be of significant benefit to policy makers, Australia’s trading partners, the real estate industry and ultimately home buyers.Read moreRead less
Advanced Bayesian Inversion Algorithms for Wave Propagation. This project aims to improve algorithms for detecting hidden items by developing new computational mathematical techniques capable of reconstructing the shape and location of objects using electromagnetic waves. This project expects to generate new knowledge in the areas of Bayesian Inversion and computational wave propagation. Expected outcomes of this project are algorithms that can be developed for use in nonintrusive radio wave sec ....Advanced Bayesian Inversion Algorithms for Wave Propagation. This project aims to improve algorithms for detecting hidden items by developing new computational mathematical techniques capable of reconstructing the shape and location of objects using electromagnetic waves. This project expects to generate new knowledge in the areas of Bayesian Inversion and computational wave propagation. Expected outcomes of this project are algorithms that can be developed for use in nonintrusive radio wave security scanners. This should provide benefits such as the capability to scan a crowd without a checkpoint, which will have the potential to improve security in public places.Read moreRead less