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Machine Learning and Shape Optimisation of Fluid-Structure Interactions

Machine Learning and Shape Optimisation of Fluid-Structure Interactions
流固耦合的机器学习和形状优化
批准号:
DP210100990
负责人:
Prof Kerry Hourigan
金额:
$25.32万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2021
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2021-12-30 至 2024-12-29

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中文摘要
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英文摘要
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.
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The Mechanisms determining the Rolling Motions of Bodies
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Dynamics of bluff body interactions with walls
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
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