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SMARTFLUIDS focuses on developing simplified models to predict fluid-structure interactions in various industries, including renewable energy. By utilizing advanced machine learning techniques, the project aims to enhance understanding and efficiency in predicting how structures respond to fluid dynamics.
Fluid-structure interaction (FSI) is a ubiquitous phenomenon in industry such as ocean engineering, biomedicine, aerospace and a driven idea for hydrokinetic energy conversion.
Strong nonlinear interactions between flow and structures, as well as turbulent flow bring a huge challenge for understanding and dynamics prediction of the FSI systems.
Facing with this challenge and the rising motivation of harnessing clean energy from natural fluids, SMARTFLUIDS aims to build a framework of developing…
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