Rapid structural condition assessment using adaptive model updating. The proposed project has potential to significantly enhance the accuracy with which the condition (and hence load bearing capacity) of existing infrastructure can be determined. By providing a technique of model updating that can be applied effectively in real time, location of damage will be able to be determined accurately. Economic benefits will be reaped, both through saving infrastructure from demolition where the conditio ....Rapid structural condition assessment using adaptive model updating. The proposed project has potential to significantly enhance the accuracy with which the condition (and hence load bearing capacity) of existing infrastructure can be determined. By providing a technique of model updating that can be applied effectively in real time, location of damage will be able to be determined accurately. Economic benefits will be reaped, both through saving infrastructure from demolition where the condition is found to be adequate, and by replacing or repairing inadequate structures before costly failure occurs. This is particularly important as much of Australia's infrastructure is aging, and unnecessary periodic replacement of infrastructure is not sustainable.Read moreRead less
Blast Damage and Fragmentation Prediction for Occupants and Structure Protection. Protecting infrastructures against blast loads from terrorist bombing or accidental explosion is a challenge. Researchers have been working on developing a numerical model, but the progress is slow owing to difficulties in modelling nonlinear and high strain rate damage process. Most blast effect assessment is based on empirical relations from blast tests. These have been demonstrated not necessarily yielding accur ....Blast Damage and Fragmentation Prediction for Occupants and Structure Protection. Protecting infrastructures against blast loads from terrorist bombing or accidental explosion is a challenge. Researchers have been working on developing a numerical model, but the progress is slow owing to difficulties in modelling nonlinear and high strain rate damage process. Most blast effect assessment is based on empirical relations from blast tests. These have been demonstrated not necessarily yielding accurate prediction owing to variations of structural properties from the test model. A reliable numerical model is therefore important. It will result in big savings from blast tests, and better prediction of blast effects for structure and occupant protection. It will have applications in civil, mining and defence engineering. Read moreRead less
NUMERICAL ANALYSIS OF DYNAMIC REPONSE AND DAMAGE OF FRAME STRUCTURES TO EXPLOSIVE LOADS. Understanding structural response to explosive loads is essential to protect critical infrastructure against terrorist bombing or industrial explosions. Current practice in analysis and design of structures to withstand explosive loads uses either empirical methods or a simplified structure model. In many cases, engineers need to know the structure response in more detail in order to protect the structure an ....NUMERICAL ANALYSIS OF DYNAMIC REPONSE AND DAMAGE OF FRAME STRUCTURES TO EXPLOSIVE LOADS. Understanding structural response to explosive loads is essential to protect critical infrastructure against terrorist bombing or industrial explosions. Current practice in analysis and design of structures to withstand explosive loads uses either empirical methods or a simplified structure model. In many cases, engineers need to know the structure response in more detail in order to protect the structure and plan evacuation procedures. This project will study the response and damage mechanism of structures to explosive loads, and develop a numerical model to predict structural response and damage. It will have immediate and wide-ranging applications in defence, construction and mining engineering.Read moreRead less
PROBABILISTIC BRIDGE STRUCTURE CONDITION ASSESSMENT AND LOAD CARRYING CAPACITY PREDICTION. Bridge failures have occasionally been reported around the world. Condition assessment of bridges is vital to maintain their safety. It is difficult to assess quantitatively the deterioration and damage using traditional methods. Vibration-based methods are very sensitive to noise in vibration measurement and error in finite element modelling. This project will study the effects of measurement noises and f ....PROBABILISTIC BRIDGE STRUCTURE CONDITION ASSESSMENT AND LOAD CARRYING CAPACITY PREDICTION. Bridge failures have occasionally been reported around the world. Condition assessment of bridges is vital to maintain their safety. It is difficult to assess quantitatively the deterioration and damage using traditional methods. Vibration-based methods are very sensitive to noise in vibration measurement and error in finite element modelling. This project will study the effects of measurement noises and finite element model errors on bridge condition assessment, and develop improved techniques for predicting load carrying capacities of bridges. The technique developed will be applied to Main Roads WA bridges, will also be applicable to the assessment of other types of structures.Read moreRead less
Experimental and numerical study of dynamic properties of concrete and fibre reinforced concrete materials. Recent disastrous examples of life and economy loss due to terrorist action or accident explosion include Bali bombing and Western Australia gas explosion. Reliable prediction of structure response to blast and impact loads is essential for life and economy protection against such loads. This project will perform laboratory tests and numerical simulations to study the construction material ....Experimental and numerical study of dynamic properties of concrete and fibre reinforced concrete materials. Recent disastrous examples of life and economy loss due to terrorist action or accident explosion include Bali bombing and Western Australia gas explosion. Reliable prediction of structure response to blast and impact loads is essential for life and economy protection against such loads. This project will perform laboratory tests and numerical simulations to study the construction material properties under dynamic loading conditions, and develop numerical models for accurate predictions of structure response to blast loads. The project contributes to the integrated effort for a secure Australia. It will result in enormous savings from conducting blast tests and will have applications in civil, mining and defence engineering.Read moreRead less
Multi-hazard resilient hybrid modular structures. This project aims to develop the next generation of multi-hazard resilient modular construction methods for efficient, affordable and sustainable buildings. New demountable modular connections will be developed and the response of hybrid modular buildings to multiple hazards such as wind, earthquake, blast and impact will be investigated through a combination of experimental, numerical, and analytical studies. The project will develop knowledge o ....Multi-hazard resilient hybrid modular structures. This project aims to develop the next generation of multi-hazard resilient modular construction methods for efficient, affordable and sustainable buildings. New demountable modular connections will be developed and the response of hybrid modular buildings to multiple hazards such as wind, earthquake, blast and impact will be investigated through a combination of experimental, numerical, and analytical studies. The project will develop knowledge of the structural behaviour of hybrid modular buildings, and expects to deliver design methods and robust simplified models for building design purposes. This project will advance construction techniques and practices for resilient hybrid modular buildings.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
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
Inerter-enhanced metastructure for structural vibration control. Meta-based technique has been proposed for vibration control recently due to its special wave filtering effect. However, the current techniques are difficult to attenuate low-frequency waves, thus not suitable for civil structural vibration control. This project proposes incorporating an inerter-based element into the unit cell of a metastructure. Due to the unique mass amplification characteristic of inerter element, manipulating ....Inerter-enhanced metastructure for structural vibration control. Meta-based technique has been proposed for vibration control recently due to its special wave filtering effect. However, the current techniques are difficult to attenuate low-frequency waves, thus not suitable for civil structural vibration control. This project proposes incorporating an inerter-based element into the unit cell of a metastructure. Due to the unique mass amplification characteristic of inerter element, manipulating low-frequency waves becomes possible. Practical designs are developed and applied to control the adverse vibrations of engineering structures induced by three typical vibration sources. Comprehensive analytical, experimental and numerical studies are carried out to examine the effectiveness of the proposed method.Read moreRead less