Impact of roughness on adverse pressure gradient turbulent boundary layers. This project aims to develop a novel technique for measuring time-resolved fluid velocity vector fields in high-speed flows to investigate rough wall turbulence in adverse pressure gradient environments in unprecedented detail. By using this innovative instrument to study these widespread but poorly understood turbulent flows in power generation and transport, the project seeks to generate new knowledge. Expected outcome ....Impact of roughness on adverse pressure gradient turbulent boundary layers. This project aims to develop a novel technique for measuring time-resolved fluid velocity vector fields in high-speed flows to investigate rough wall turbulence in adverse pressure gradient environments in unprecedented detail. By using this innovative instrument to study these widespread but poorly understood turbulent flows in power generation and transport, the project seeks to generate new knowledge. Expected outcomes include the development of a new instrument and fundamental knowledge leading to improved designs with higher efficiencies in power generation and transport, resulting in significant benefits such as increased energy security, reduced greenhouse gas emissions, and improved quality of life for individuals and society.Read moreRead less
An adaptive surface for improved modelling of rough wall bounded turbulence. This project aims to improve the prediction of drag where fluid flows over rough surfaces. This is a significant problem, with the uncertainty in drag penalty prediction for shipping alone exceeding ten billion dollars annually. The societal importance of these flows demands action, yet novel approaches must be sought to efficiently explore the wide range of roughness types encountered in practice. An adaptive surface i ....An adaptive surface for improved modelling of rough wall bounded turbulence. This project aims to improve the prediction of drag where fluid flows over rough surfaces. This is a significant problem, with the uncertainty in drag penalty prediction for shipping alone exceeding ten billion dollars annually. The societal importance of these flows demands action, yet novel approaches must be sought to efficiently explore the wide range of roughness types encountered in practice. An adaptive surface is proposed, where a roughness configuration can be dialled in at the press of a button, to rapidly converge on improved models. A key outcome of this project will be improved predictive models of drag for rough wall flows. Benefits will include improved efficiencies and reduced emissions across a wide range of industries.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100754
Funder
Australian Research Council
Funding Amount
$426,154.00
Summary
Drag Prediction over Rough Surfaces using Hardware-Accelerated Simulations. This project aims to uncover the relationship between roughness topography and drag by utilising high-performance and efficient hardware acceleration. This project expects to generate new knowledge in the area of rough-wall turbulent boundary layer by using state-of-the-art hardware accelerated high fidelity simulations and machine learning techniques to identify important roughness parameters. Expected outcomes of this ....Drag Prediction over Rough Surfaces using Hardware-Accelerated Simulations. This project aims to uncover the relationship between roughness topography and drag by utilising high-performance and efficient hardware acceleration. This project expects to generate new knowledge in the area of rough-wall turbulent boundary layer by using state-of-the-art hardware accelerated high fidelity simulations and machine learning techniques to identify important roughness parameters. Expected outcomes of this project include the development of a novel, more accurate, and robust model to predict drag. This would lead to improved data-driven policies for more sustainable and profitable airline and maritime industries.Read moreRead less