Discovery Early Career Researcher Award - Grant ID: DE170100119
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Unlocking the changing strength of fine-grained soils in numerical analyses. This project aims to numerically simulate strain-softening-hardening in fine-grained soils. Fine-grained soils soften during deformation and harden as excess pore pressures dissipate. Models exist that allow strain-softening and hardening in finite element simulations, but suffer from mesh-dependency. Regularisation methods can alleviate mesh-dependency, but an appropriate characteristic length for the regularisation is ....Unlocking the changing strength of fine-grained soils in numerical analyses. This project aims to numerically simulate strain-softening-hardening in fine-grained soils. Fine-grained soils soften during deformation and harden as excess pore pressures dissipate. Models exist that allow strain-softening and hardening in finite element simulations, but suffer from mesh-dependency. Regularisation methods can alleviate mesh-dependency, but an appropriate characteristic length for the regularisation is needed and difficult to determine. This project will use image-based soil deformation measurement and aspects of the finite element method to determine appropriate regularisation techniques, characteristic lengths and constitutive relations. Reliably modelling strain-softening and hardening in finite element simulations is expected to reduce uncertainty in design and make civil infrastructure cheaper.Read moreRead less
Understanding vibratory piles in sand: installation and lateral response. This project aims to address uncertainties in the design of vibro-driven piles. This promising alternative to impact-driven piles offers faster installation and requires no noise mitigation. The project expects to generate new knowledge of the effect of the installation process in sand on in-service pile response by integrating findings from innovative experiments and numerical modelling. This is particularly important for ....Understanding vibratory piles in sand: installation and lateral response. This project aims to address uncertainties in the design of vibro-driven piles. This promising alternative to impact-driven piles offers faster installation and requires no noise mitigation. The project expects to generate new knowledge of the effect of the installation process in sand on in-service pile response by integrating findings from innovative experiments and numerical modelling. This is particularly important for highly sensitive structures such as offshore wind turbines, which provide a rapidly increasing share of global energy supply. Expected outcomes include practical recommendations for vibro-piles in sand. This should provide sizeable benefits by unlocking vibro-piles as a viable method to reduce offshore wind farm costs.Read moreRead less
Design guideline for suction caissons supporting offshore wind turbines. This project aims to develop an industry guideline for suction caisson foundations, that are a new form of fixed platform anchor, for offshore wind turbines. The project expects to generate new knowledge of caisson response during installation and over millions of wind/wave load cycles, by integrating field experience with measurements from innovative experiments. The expected outcomes of this project include new methods to ....Design guideline for suction caissons supporting offshore wind turbines. This project aims to develop an industry guideline for suction caisson foundations, that are a new form of fixed platform anchor, for offshore wind turbines. The project expects to generate new knowledge of caisson response during installation and over millions of wind/wave load cycles, by integrating field experience with measurements from innovative experiments. The expected outcomes of this project include new methods to guide suction installation in difficult soil layering and predicting rotation and stiffness over a turbine’s operational life. The benefits of these scientific advances will contribute to the economic and reliable design of suction caisson foundations and a more rapid take-up of offshore wind energy.Read moreRead less
Automatic construction monitoring through semantic information modelling. This project aims to develop computational algorithms and methods for automatic as-built construction monitoring through semantics-based Building Information Modelling (BIM). Construction as–built monitoring is crucial for the cost, time, quality and safety of projects. Methods for generating as-built status are primarily manual. There are gaps in sophistication of automation, and recognition for semantic construction info ....Automatic construction monitoring through semantic information modelling. This project aims to develop computational algorithms and methods for automatic as-built construction monitoring through semantics-based Building Information Modelling (BIM). Construction as–built monitoring is crucial for the cost, time, quality and safety of projects. Methods for generating as-built status are primarily manual. There are gaps in sophistication of automation, and recognition for semantic construction information during the process is low. The project is expected to provide efficient and accurate solutions for as-built construction monitoring.Read moreRead less
Crusty Seabeds: From (Bio-)Genesis To Reliable Offshore Design. The project aims to make deep water oil and gas developments safer and cheaper by understanding better the unique seabed ‘crust’ conditions that occur in Australian waters. By studying the biogenic, structural and mechanical properties of deepwater crusts in more detail than can be done in ‘live’ oil and gas projects, this project expects to make a step change in the understanding of these seabed crusts. Expected outcomes of this pr ....Crusty Seabeds: From (Bio-)Genesis To Reliable Offshore Design. The project aims to make deep water oil and gas developments safer and cheaper by understanding better the unique seabed ‘crust’ conditions that occur in Australian waters. By studying the biogenic, structural and mechanical properties of deepwater crusts in more detail than can be done in ‘live’ oil and gas projects, this project expects to make a step change in the understanding of these seabed crusts. Expected outcomes of this project include developing new seabed investigation and design approaches for these soils. This should provide significant benefits, by facilitating the design and installation of low-risk, yet low cost seabed infrastructure (e.g. pipelines, risers, shallow foundations etc.) in these problematical seabed typesRead moreRead less
Solutions for rapid penetration into sand for offshore energy installations. This project aims to develop a fundamental understanding of the response of saturated sand in seabeds during rapid penetration by offshore site investigation tools and foundation construction. The research is using innovative physical and advanced numerical modelling techniques to quantify the significant increase in sand resistance caused by rapid penetration, enabling reliable design and reducing risk of material fail ....Solutions for rapid penetration into sand for offshore energy installations. This project aims to develop a fundamental understanding of the response of saturated sand in seabeds during rapid penetration by offshore site investigation tools and foundation construction. The research is using innovative physical and advanced numerical modelling techniques to quantify the significant increase in sand resistance caused by rapid penetration, enabling reliable design and reducing risk of material failure associated with the high impact forces. Expected outcomes of the project include a conceptual framework and scientific-based design tool to predict the geotechnical performance of offshore installations. The research will provide the necessary scientific advances to install, moor and service offshore wind and wave energy devices more economically and efficiently.Read moreRead less
Improving road network operations under non-recurrent events. This project aims to develop an innovative approach for improving Road Network Operations (RNO) under non-recurrent events through analysis of big data and images. The outcomes of this project can not only improve the mobility of people, but also provide improved safety outcomes for all users of the transport network. It will help optimise traffic control strategies and traffic designs, reduce the maintenance cost for road infrastruc ....Improving road network operations under non-recurrent events. This project aims to develop an innovative approach for improving Road Network Operations (RNO) under non-recurrent events through analysis of big data and images. The outcomes of this project can not only improve the mobility of people, but also provide improved safety outcomes for all users of the transport network. It will help optimise traffic control strategies and traffic designs, reduce the maintenance cost for road infrastructure and improve quality of life.Read moreRead less
Lifting objects off the seabed. This project aims to investigate the process of lifting objects off the seabed. Understanding this breakout process is the scientific basis for a variety of offshore applications such as oil and gas decommissioning, marine salvage and securing foundations under extreme storms. This project expects to advance the understanding of soil-fluid-structure interactions of this problem using innovative high-speed photography observations and advanced numerical coupled ana ....Lifting objects off the seabed. This project aims to investigate the process of lifting objects off the seabed. Understanding this breakout process is the scientific basis for a variety of offshore applications such as oil and gas decommissioning, marine salvage and securing foundations under extreme storms. This project expects to advance the understanding of soil-fluid-structure interactions of this problem using innovative high-speed photography observations and advanced numerical coupled analyses. Outcomes will include a numerical tool, verified against a high quality experimental database, to predict the breakout process and uplift required for pressing offshore challenges. The ability for Australia’s engineers to predict lift procedures more accurately will contribute to safer operations in Australian waters and to the more economic harnessing of ocean resources.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100195
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Using Sandwich Pipe for Pipeline Vibration Control. Pipelines are important structures but are vulnerable to different types of damage. This damage is often associated with pipeline vibration. It is important to control adverse vibrations to reduce the risk of catastrophic damage. This project proposes using sandwich pipe to suppress different sources of vibrations that may be experienced during the lifetime of the pipeline. Analytical, numerical and experimental investigations will be carried o ....Using Sandwich Pipe for Pipeline Vibration Control. Pipelines are important structures but are vulnerable to different types of damage. This damage is often associated with pipeline vibration. It is important to control adverse vibrations to reduce the risk of catastrophic damage. This project proposes using sandwich pipe to suppress different sources of vibrations that may be experienced during the lifetime of the pipeline. Analytical, numerical and experimental investigations will be carried out to demonstrate the feasibility of the proposed method. The project aims to develop direct applications for designing pipelines to suppress different sources of vibration and to guarantee the safety of pipelines.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