Discovery Projects - Grant ID: DP210100990

流固耦合的机器学习与形状优化。该项目旨在通过结合先进的实验和计算方法来解决固体结构的振动问题。该项目希望利用机器学习和进化形状优化的新技术，在流激振动领域产生新的知识。该项目的预期成果包括大大加快发现导致结构振动的机制，并优化结构几何形状，以增强或抑制振动。这将带来显著的好处，比如改进能量收集器的设计策略，比如电流振荡器，或者更稳定的结构，比如海上风力涡轮机的平台。\ n

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. \n