Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP210100990
Funding Status
Active
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Funded Activity Summary
Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibrations and optimising structure geometries to either enhance or suppress the vibrations. This should provide significant benefits, such as the design strategies for improved energy harvesters, such as current oscillators, or more stable structures, such as platforms for offshore wind turbines.Funded Activity Details
Start Date: 12-2021
End Date: 12-2024
Funding Scheme: Discovery Projects
Funding Amount: $360,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Interdisciplinary Engineering | Dynamics, Vibration and Vibration Control | Fluidisation and Fluid Mechanics
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Hydro-Electric Energy | Wind Energy |
