Brain-skull interface: discovering the missing piece of head biomechanics. Overall objective of this project is to measure, mathematically describe and implement in software mechanical properties of brain-skull interface – a critical component of current large and sophisticated computational models of the brain and the last missing piece of brain biomechanics knowledge. This will allow increased reliability of comprehensive biomechanical models used to simulate realistic injury and surgery scena ....Brain-skull interface: discovering the missing piece of head biomechanics. Overall objective of this project is to measure, mathematically describe and implement in software mechanical properties of brain-skull interface – a critical component of current large and sophisticated computational models of the brain and the last missing piece of brain biomechanics knowledge. This will allow increased reliability of comprehensive biomechanical models used to simulate realistic injury and surgery scenarios.
The problem is significant and urgent. Every year in Australia, there are over 22,000 cases of traumatic brain injury, some of which could be prevented by better passive and active countermeasures; and over 12,000 neurosurgical procedures that surgical simulation could make more accurate and therefore safer.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
Discovery Early Career Researcher Award - Grant ID: DE230101196
Funder
Australian Research Council
Funding Amount
$439,012.00
Summary
Data-Driven Design for 3D Printed Materials with Tailored Fracture Response. Fracture is the main source of material failure and may cause serious engineering disasters and even death. This project aims to develop a Data-Driven Design System that intelligently optimizes local materials and architectures for heterogeneous structures with desired fracture response, and enhancing their mechanical fracture properties including stiffness, strength, toughness, and failure displacement. It will open up ....Data-Driven Design for 3D Printed Materials with Tailored Fracture Response. Fracture is the main source of material failure and may cause serious engineering disasters and even death. This project aims to develop a Data-Driven Design System that intelligently optimizes local materials and architectures for heterogeneous structures with desired fracture response, and enhancing their mechanical fracture properties including stiffness, strength, toughness, and failure displacement. It will open up a new and promising research field in mechanics and data-driven science that deals with intractable inverse problems in broad engineering fields. Economic, high-performance, and customized 3D printed structural materials will be generated to benefit national corporations and enterprises and meet the high-end industry needs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100674
Funder
Australian Research Council
Funding Amount
$370,237.00
Summary
New Frontiers in Large-Scale Polynomial Optimisation. Polynomial optimisation is ubiquitous in many areas of engineering and applied mathematics. The mathematical methods and algorithms used for polynomial problems of large size are not sufficiently developed, limiting their applicability for real-world problems. This project aims to develop a mathematical foundation and computational methods for large-scale polynomial optimisation. By using an innovative combination of a novel theory of algebra ....New Frontiers in Large-Scale Polynomial Optimisation. Polynomial optimisation is ubiquitous in many areas of engineering and applied mathematics. The mathematical methods and algorithms used for polynomial problems of large size are not sufficiently developed, limiting their applicability for real-world problems. This project aims to develop a mathematical foundation and computational methods for large-scale polynomial optimisation. By using an innovative combination of a novel theory of algebraic geometry and convex optimisation, this project expects to generate new knowledge and tools for solving these problems. Anticipated outcomes include a new generation of large-scale optimisation technologies, providing significant benefit to Australia's industries and international research standing.
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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
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
Hybrid Toughening of Carbon Fibre Composites for Liquid Hydrogen Storage. This project aims to develop hybrid toughening technologies to overcome the major problem of transverse matrix cracking and splitting in existing carbon fibre composites when subjected to thermal-mechanical loading at the ultracold liquid hydrogen temperature. Nano-toughened thin-ply carbon fibre layers will be hybridised with standard-ply laminates to sustain internal pressure and external impact loading at cryogenic temp ....Hybrid Toughening of Carbon Fibre Composites for Liquid Hydrogen Storage. This project aims to develop hybrid toughening technologies to overcome the major problem of transverse matrix cracking and splitting in existing carbon fibre composites when subjected to thermal-mechanical loading at the ultracold liquid hydrogen temperature. Nano-toughened thin-ply carbon fibre layers will be hybridised with standard-ply laminates to sustain internal pressure and external impact loading at cryogenic temperatures without leaks. The hybrid composites are expected to enable Australian companies to engineer, manufacture and export lightweight carbon fibre tanks for storing and exporting liquid hydrogen, which is emerging as a transformational opportunity for Australia to become a global supplier of green energy.Read moreRead less
Unlocking self-healing bio-concrete through multiscale modelling. Self-healing bio-concrete, which uses bacteria as means to repair cracks, has the potential to revolutionise the construction industry and reduce the infrastructure repair and maintenance cost by billions of dollars annually. To unlock this, we need to understand the bacterial self-healing mechanisms for effective control of the performance. This project will develop a multiscale framework to describe the competing mechanisms betw ....Unlocking self-healing bio-concrete through multiscale modelling. Self-healing bio-concrete, which uses bacteria as means to repair cracks, has the potential to revolutionise the construction industry and reduce the infrastructure repair and maintenance cost by billions of dollars annually. To unlock this, we need to understand the bacterial self-healing mechanisms for effective control of the performance. This project will develop a multiscale framework to describe the competing mechanisms between crack widening and healing at the macro-scale, incorporated with key information of substances diffusion and bio-cementation at the meso- and micro-scales. This will enable to optimise the self-healing of bio-concrete via design–test–learn approach and enhance the durability of structures under sustained loads.Read moreRead less
Magnetorheological Elastomer Based Tuned Mass Damper. This project aims to protect buildings utilising an advanced tuned mass damper (TMD) which has characteristics of adaptability, is energy and sensor free and has negative stiffness via the integration of magnetorheological elastomers, a self-sensing self-powered element and negative stiffness technologies. This project expects to theoretically and experimentally study the performance of the TMD on structural protection from wind loads and ear ....Magnetorheological Elastomer Based Tuned Mass Damper. This project aims to protect buildings utilising an advanced tuned mass damper (TMD) which has characteristics of adaptability, is energy and sensor free and has negative stiffness via the integration of magnetorheological elastomers, a self-sensing self-powered element and negative stiffness technologies. This project expects to theoretically and experimentally study the performance of the TMD on structural protection from wind loads and earthquakes. The expected outcomes of this project will advance TMD practice and structural protection technology, and benefit the building protection industry, both domestically and globally. This will provide significant benefits to the working efficiency and safety of building occupants.Read moreRead less