Discovery Early Career Researcher Award - Grant ID: DE180101441
Funder
Australian Research Council
Funding Amount
$322,446.00
Summary
A new approach for characterising soils based on electric parameters. This project aims to develop a predictive methodology based on electromagnetic sensors to quantify soil state variables that influence hydraulic and mechanical processes. These processes affect the safety of man-made and natural geo-structures such as dams or embankments. Conventional monitoring methods are outdated and unreliable, reducing our capability of detecting threats to these structures. The outcomes of the project wi ....A new approach for characterising soils based on electric parameters. This project aims to develop a predictive methodology based on electromagnetic sensors to quantify soil state variables that influence hydraulic and mechanical processes. These processes affect the safety of man-made and natural geo-structures such as dams or embankments. Conventional monitoring methods are outdated and unreliable, reducing our capability of detecting threats to these structures. The outcomes of the project will improve protection of major geo-structures, trigger novel applications in civil engineering and foster the development of patentable sensors and data analysis methodology.Read moreRead less
Modelling surface stresses in crystalline plates. This project intends to improve our understanding of the influence of surface stress on bending in anisotropic crystalline plates. Micro/nanoelectro-mechanical systems as transducers, switches, logic gates, actuators and sensors are widely used in fields of biotechnology, medicine, automotive, civionics, avionics and defence. A key issue that affects the accuracy and reliability of these systems is how to correctly predict the size-dependent surf ....Modelling surface stresses in crystalline plates. This project intends to improve our understanding of the influence of surface stress on bending in anisotropic crystalline plates. Micro/nanoelectro-mechanical systems as transducers, switches, logic gates, actuators and sensors are widely used in fields of biotechnology, medicine, automotive, civionics, avionics and defence. A key issue that affects the accuracy and reliability of these systems is how to correctly predict the size-dependent surface stress of the structural components in the systems. The project aims to quantify the relations between the change in surface stress and the bending of structures with micro/nanoscale thickness and arbitrary crystallographic symmetry. Expected project outcomes may lead to significant advancement in overcoming the current shortcomings in designing micro/nanoelectro-mechanical devices.Read moreRead less
Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected out ....Innovative Data Driven Techniques for Structural Condition Monitoring . Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected outcomes of this project enhance the capacity to conduct the operational monitoring and data interpretation to deliver the best life cycle performance of infrastructure. This project should provide significant benefits to Australia in infrastructure asset management by reducing the interruption of infrastructure operations.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL190100014
Funder
Australian Research Council
Funding Amount
$2,871,982.00
Summary
New Technologies for Delivering Sustainable Free-form Architecture. This project aims to harness the full potential of digital technologies to significantly enhance the performance and reduce the environmental impact of free-form architecture of the future. The research expects to establish a fundamentally new computational platform capable of producing diverse and competitive designs, and an environmentally friendly manufacturing process for realising such designs. Expected outcomes include an ....New Technologies for Delivering Sustainable Free-form Architecture. This project aims to harness the full potential of digital technologies to significantly enhance the performance and reduce the environmental impact of free-form architecture of the future. The research expects to establish a fundamentally new computational platform capable of producing diverse and competitive designs, and an environmentally friendly manufacturing process for realising such designs. Expected outcomes include an unprecedented cloud-based interactive design tool, and a novel minimum-waste manufacturing technology for fabricating mass-customised building components. This project will transform the architecture, engineering and construction (AEC) sector and make the Australian manufacturing industry more competitive globally.Read moreRead less
AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in d ....AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in data mining and interpretation. Expected outcomes of the project include novel AI assisted approaches to conduct probabilistic structural condition monitoring with sensitive features and future structural performance prediction. This will provide significant benefits to infrastructure asset owners to reduce maintenance costs.Read moreRead less
Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through dee ....Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through deep learning with structural conditions and load-carrying capacities obtained from vibration tests and finite element model analysis for efficient structural damage detection and quantification. The project will lead to effective structural health monitoring and enhance structural safety and reduce maintenance costs. Read moreRead less
Computational fracture analysis of structures and materials. This project aims to develop a computer simulation technique to address the safety of engineering structures. A novel numerical framework based on the scaled boundary finite element method will be developed to model the fracture process critical to assessing structural integrity. The expected outcomes of this project include an innovative technology for numerical simulation and improved capabilities to generate high-fidelity predictio ....Computational fracture analysis of structures and materials. This project aims to develop a computer simulation technique to address the safety of engineering structures. A novel numerical framework based on the scaled boundary finite element method will be developed to model the fracture process critical to assessing structural integrity. The expected outcomes of this project include an innovative technology for numerical simulation and improved capabilities to generate high-fidelity predictions of structural safety at minimum human efforts. The fully automatic and robust numerical tool developed in this project will help engineers and government authorities to perform safe and cost-effective design and management of engineering structures that are vital to modern economies.Read moreRead less
Progressive collapse resistance of concrete flat plate structures. This project aims to systematically and thoroughly investigate the progressive collapse mechanisms and resistance capacity of concrete flat plate structures. They represent one of the most common construction systems used worldwide in modern days, yet their progressive collapse mechanisms require attention and limited collapse prevention design guidelines are available. The outcomes are expected to broaden and deepen the existing ....Progressive collapse resistance of concrete flat plate structures. This project aims to systematically and thoroughly investigate the progressive collapse mechanisms and resistance capacity of concrete flat plate structures. They represent one of the most common construction systems used worldwide in modern days, yet their progressive collapse mechanisms require attention and limited collapse prevention design guidelines are available. The outcomes are expected to broaden and deepen the existing theoretical framework and knowledge base, prevent injury and loss of life in both new and existing buildings. This is expected ultimately to contribute to the establishment of a set of collapse-resistant design guidelines for further development of relevant Australian and international standards.Read moreRead less
Unified nondeterministic dynamic safety assessment of softening structures. This project aims to develop a high-performance tool for the dynamic safety assessment of softening structures. The assessment of structures that exhibit softening, either at constitutive level or structural level, is essential for design and rehabilitation purposes, especially when the inevitable uncertainties in the system parameters need to be accounted for. This project aims to develop an advanced and unified framewo ....Unified nondeterministic dynamic safety assessment of softening structures. This project aims to develop a high-performance tool for the dynamic safety assessment of softening structures. The assessment of structures that exhibit softening, either at constitutive level or structural level, is essential for design and rehabilitation purposes, especially when the inevitable uncertainties in the system parameters need to be accounted for. This project aims to develop an advanced and unified framework that can model both stochastic and nonstochastic processes for these purposes. An advanced mixed finite element model underpins this framework, and both formulation and solution algorithms are based on mathematical programming formalism. The developed computational tool would be able to perform pure stochastic, pure nonstochastic, hybrid uncertain analyses and dynamic reliability assessment of structures.Read moreRead less
Three-dimensional contact and fracture analysis for safety assessment of structures. This project aims to address the safety assessment of engineering structures considering interfaces and cracks, which are nearly always the weakest parts of a structure system. Novel numerical approaches to model the contact of interfaces and crack faces and to simulate crack propagation under variable loads will be established based on the scaled boundary polytope elements and mathematical programming. It is an ....Three-dimensional contact and fracture analysis for safety assessment of structures. This project aims to address the safety assessment of engineering structures considering interfaces and cracks, which are nearly always the weakest parts of a structure system. Novel numerical approaches to model the contact of interfaces and crack faces and to simulate crack propagation under variable loads will be established based on the scaled boundary polytope elements and mathematical programming. It is anticipated that the developed numerical simulation tool will be robust and fully automatic. The intended outcome of this project is an innovative technology for numerical simulation and a rational predictive tool useful for cost-effective and timely planning, design and management of engineering structures.Read moreRead less