Discovery Early Career Researcher Award - Grant ID: DE230100754

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE230100754

Funding Status
Active

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Funded Activity 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 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.

Funded Activity Details

Start Date: 25-11-2024

End Date: 24-11-2027

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $426,154.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Fluid mechanics and thermal engineering | Turbulent flows |

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Environmentally Sustainable Transport Activities Not Elsewhere Classified | Fluid mechanics and thermal engineering | Transport Energy Efficiency | Turbulent flows

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