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
Dynamic Properties of Mechanical Metamaterials: Optimization and Experiment. The aim of this project is to develop novel mechanical metamaterials through topology optimization for manipulating the propagation of elastic and acoustic waves. Mechanical metamaterials achieve exotic dynamic properties, which have many applications ranging from noise management and vibration control to defence. The computational tool and optimization algorithms to be developed will seamlessly integrate with additive ....Dynamic Properties of Mechanical Metamaterials: Optimization and Experiment. The aim of this project is to develop novel mechanical metamaterials through topology optimization for manipulating the propagation of elastic and acoustic waves. Mechanical metamaterials achieve exotic dynamic properties, which have many applications ranging from noise management and vibration control to defence. The computational tool and optimization algorithms to be developed will seamlessly integrate with additive manufacturing to enable the end-users to characterize, design and fabricate the next generation of mechanical metamaterials in an effective way. The outcomes of this project offer significant benefits for the long-term and sustainable development of knowledge-based economy in Australia.Read moreRead less
Theory and methods for evaluation of microstructural fatigue damage. The microstructural damage accumulation stage often consumes a significant portion of the total fatigue life of structures. However, its progressive evaluation is beyond the reach of safety inspection techniques which are currently employed to maintain structural integrity and prevent fatigue failures. This project aims to fill this gap by developing innovative methods for the measurement of material properties related to fatig ....Theory and methods for evaluation of microstructural fatigue damage. The microstructural damage accumulation stage often consumes a significant portion of the total fatigue life of structures. However, its progressive evaluation is beyond the reach of safety inspection techniques which are currently employed to maintain structural integrity and prevent fatigue failures. This project aims to fill this gap by developing innovative methods for the measurement of material properties related to fatigue damage and establishing a new theory which links these properties to the remaining life of the structure. The project outcomes will facilitate the global trend towards predictive maintenance strategies, thereby generating substantial cost benefits, specifically, for high-value assets and ageing infrastructure.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101676
Funder
Australian Research Council
Funding Amount
$435,690.00
Summary
Machine learning-based design of triply periodic minimal surface structures. This project aims to develop a new approach to design of new lightweight, crashworthy and manufacturable structures by taking advantage of the latest technologies in computational optimisation, artificial intelligence and additive manufacturing. The study intends to develop a new machine learning-based multiscale design framework to seek optimal triply periodic minimal surface structures, considering fabrication-induced ....Machine learning-based design of triply periodic minimal surface structures. This project aims to develop a new approach to design of new lightweight, crashworthy and manufacturable structures by taking advantage of the latest technologies in computational optimisation, artificial intelligence and additive manufacturing. The study intends to develop a new machine learning-based multiscale design framework to seek optimal triply periodic minimal surface structures, considering fabrication-induced defects and uncertainty. The expected outcome of this project is new methodologies for generating eco-friendly structures with robust mechanical properties in crashing applications. This should provide significant benefits to transport industries by enhancing structural safety and energy saving for next generation vehicles.Read moreRead less
Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and ....Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and non-contact detection suitable for hard-to-inspect surface conditions, will also be investigated. The new developments will help transform existing schedule-based maintenance practice to a condition-based maintenance paradigm, to achieve significant cost savings in maintenance.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101382
Funder
Australian Research Council
Funding Amount
$425,775.00
Summary
Metastructures for Simultaneous Vibration Suppression and Energy Harvesting. The project aims to generate a fundamental understanding of the underlying multiphysics of dual-functional locally resonating metastructures, where undesirable vibrations are suppressed while absorbed energy is converted into electricity. It will widen low-frequency vibration suppression gaps and maximise energy capture by formulating an integrated modelling framework to leverage complex dynamics of nonlinear local reso ....Metastructures for Simultaneous Vibration Suppression and Energy Harvesting. The project aims to generate a fundamental understanding of the underlying multiphysics of dual-functional locally resonating metastructures, where undesirable vibrations are suppressed while absorbed energy is converted into electricity. It will widen low-frequency vibration suppression gaps and maximise energy capture by formulating an integrated modelling framework to leverage complex dynamics of nonlinear local resonators coupled with vibration energy harvesting mechanisms and nonlinear electrical circuitry. This will promote the development of next-generation multifunctional metastructures. Knowledge produced should improve the durability of structural components and empower sustainable wireless monitoring with self-powered sensors.Read moreRead less
Bragg-Edge neutron transmission strain tomography. This project aims to use neutron strain tomography to improve solid mechanics research and advanced manufacturing techniques. The investigators have developed a tensor reconstruction algorithm, similar to an enhanced CT or MRI scan, which can determine the finely grained three-dimensional triaxial stress distribution inside solid objects by measuring neutron transmission. Using energy-resolved neutron detector technology, this project intends to ....Bragg-Edge neutron transmission strain tomography. This project aims to use neutron strain tomography to improve solid mechanics research and advanced manufacturing techniques. The investigators have developed a tensor reconstruction algorithm, similar to an enhanced CT or MRI scan, which can determine the finely grained three-dimensional triaxial stress distribution inside solid objects by measuring neutron transmission. Using energy-resolved neutron detector technology, this project intends to realise and extend this technique to transform several areas of applied mechanics research.Read moreRead less
Thermal transport in multi-phase flows for concentrating solar applications. This project seeks to advance the field of heat transfer in high-temperature systems involving liquid metals, with emphasis on energy storage and solar power technologies. The concept couples a tubular sodium boiler with a sodium chloride phase-change storage system for continuous energy supply. Sodium chloride is low cost and has a melting temperature suitable for a wide range of industrial processes. The project plans ....Thermal transport in multi-phase flows for concentrating solar applications. This project seeks to advance the field of heat transfer in high-temperature systems involving liquid metals, with emphasis on energy storage and solar power technologies. The concept couples a tubular sodium boiler with a sodium chloride phase-change storage system for continuous energy supply. Sodium chloride is low cost and has a melting temperature suitable for a wide range of industrial processes. The project plans to address the challenge of sodium stability in highly irradiated tubes by investigating mass, momentum, energy and radiative transport in liquid metals. It is intended that this will inform the design and testing of novel sodium boilers to provide stable and isothermal process heat for continuous or on-demand production of power, chemical fuels and commodities.Read moreRead less
Constricted hydraulic fracture opening. This project aims to develop experimentally verified models for designing and monitoring of hydraulic fractures with constricted openings, to ensure adequate and robust hydraulic fracture control for example in petroleum production. Hydraulic fractures are often constricted by bridges that hold two sides of the fracture together. Failure to account for bridges and constriction of fractures can lead to premature screen-out (exceeding available pump pressure ....Constricted hydraulic fracture opening. This project aims to develop experimentally verified models for designing and monitoring of hydraulic fractures with constricted openings, to ensure adequate and robust hydraulic fracture control for example in petroleum production. Hydraulic fractures are often constricted by bridges that hold two sides of the fracture together. Failure to account for bridges and constriction of fractures can lead to premature screen-out (exceeding available pump pressure) of proppant and inadequate fracking control. The project results are expected to substantially increase the accuracy of design and monitoring of fracture opening, geometry and fluid flow to improve efficiency, safety and environmental security of the resource and energy extraction.Read moreRead less
Surf sounds: predicting the valuable data of bubble sound emissions. This project aims to predict natural bubble sounds. These audio signals contain data on the bubble size, which controls oxygen absorption, and thus product quality, in minerals, food, pharmaceuticals and water industries. Bubbles also control ocean carbon-dioxide absorption. Such gas absorption is almost impossible to monitor with laboratory sensors. In the ocean, sensors are quickly blocked by algae. In industry, liquids are o ....Surf sounds: predicting the valuable data of bubble sound emissions. This project aims to predict natural bubble sounds. These audio signals contain data on the bubble size, which controls oxygen absorption, and thus product quality, in minerals, food, pharmaceuticals and water industries. Bubbles also control ocean carbon-dioxide absorption. Such gas absorption is almost impossible to monitor with laboratory sensors. In the ocean, sensors are quickly blocked by algae. In industry, liquids are opaque or too hot. However, the easily-measured sounds get through. Experiments and computer simulations would allow the sound volume as well as frequencies emitted by bubbles to be predicted. This would enable valuable data to be interpreted from complex sounds, transforming industrial and environmental measurements.Read moreRead less