Publication
2024
- Liu, Y. et al. 2024. A machine learning architecture for including wave breaking in envelope-type wave models. Ocean Engineering 305 118009. (10.1016/j.oceaneng.2024.118009)
- Liu, Y. , Van Den Bremer, T. S. and Adcock, T. 2024. Numerical simulation of deep-water wave breaking using RANS: Comparison with experiments. European Journal of Mechanics - B/Fluids 108 , pp.211-225. (10.1016/j.euromechflu.2024.08.003)
2023
- Liu, Y. et al. 2023. Comparison of breaking models in envelope-based surface gravity wave evolution equations. Physical Review Fluids 8 054803. (10.1103/PhysRevFluids.8.054803)
2020
- Lee, A. et al., 2020. Evanescent to propagating internal waves in experiments, simulations, and linear theory. Experiments in Fluids 61 252. (10.1007/s00348-020-03077-4)
- Taqieddin, A. et al., 2020. Computational modeling of bubbles growth using the coupled level set—volume of fluid method. Fluids 5 (3) 120. (10.3390/fluids5030120)
Articles
- Lee, A. et al., 2020. Evanescent to propagating internal waves in experiments, simulations, and linear theory. Experiments in Fluids 61 252. (10.1007/s00348-020-03077-4)
- Liu, Y. et al. 2023. Comparison of breaking models in envelope-based surface gravity wave evolution equations. Physical Review Fluids 8 054803. (10.1103/PhysRevFluids.8.054803)
- Liu, Y. et al. 2024. A machine learning architecture for including wave breaking in envelope-type wave models. Ocean Engineering 305 118009. (10.1016/j.oceaneng.2024.118009)
- Liu, Y. , Van Den Bremer, T. S. and Adcock, T. 2024. Numerical simulation of deep-water wave breaking using RANS: Comparison with experiments. European Journal of Mechanics - B/Fluids 108 , pp.211-225. (10.1016/j.euromechflu.2024.08.003)
- Taqieddin, A. et al., 2020. Computational modeling of bubbles growth using the coupled level set—volume of fluid method. Fluids 5 (3) 120. (10.3390/fluids5030120)
Biography
Yuxuan Liu is currently working as a Research Associate in school of Engineering at the Cardiff University. He holds a B.S. in Energy and Power Engineering at the Huazhong University of Science and Technology (2016) and a M.S. in Mechanical Engineering at the Northeastern University (2018). He worked as a Research Assistant in Lille Fluid Mechanics Laboratory at CNRS (2020). He completed a D.Phil. at the University of Oxford (2020-2024). His study included data-driven modelling, numerical fluid simulation using ‘Basilisk’ and the application of deep learning method to surface wave breaking problem.
His current research centres on optimising tidal range schemes in the UK, with a focus on the optimal control of tidal range lagoons, shallow water simulation of UK estuaries, and assessing the potential environmental impacts.
Contact Details
Research themes
Specialisms
- Computational fluid dynamics
- Ocean engineering
- Hydrodynamics and hydraulic engineering
- Numerical Methods
- Optimisation and Simulation