CFD Jobs Database - Job Record #19879
|
Job Record #19879 |
| Title | PhD Machine learning for violent free-surface flows |
| Category | PhD Studentship |
| Employer | University of Manchester |
| Location | United Kingdom, Manchester |
| International | Yes, international applications are welcome |
| Closure Date | Wednesday, December 10, 2025 |
| Description: |
|
This fully-funded PhD will explore Machine learning for violent free-surface flows.
Free-surface flows are a common occurrence in the environmental and renewable energy sectors. Examples include coastal protection within an everchanging climate which puts pressure on coastal structures and disaster mitigation arising from large scale events such a tsunami wave, dam failures and flooding events, extending to wind turbine platforms and wave energy devices, at extreme wave conditions.
These flows are characterised not only by the free surface which is the dominant feature of such flows but also large impact forces, fragmentation of the free surface and strong nonlinearities of the flow with a very high Reynolds number. Nevertheless, research is mostly focused either on inviscid flows, ignoring the high Reynolds number with potential flow solvers which are very accurate and computational inexpensive, or multiphase simulations that account for the liquid and gas phase, intrinsic to the physics involved, that are very costly in terms of computational resources. The former methods are applied to the far field due to the low cost and the latter to near field localised domains.
This project will use Lagrangian computational fluid dynamics (CFD) schemes supplemented with embedded trained neural networks from high fidelity simulations using finite volumes solvers at localised scale to embed turbulence effects and the presence of the second phase to the Lagrangian scheme. The target is not only imposing turbulence on the Lagrangian simulation or embedding a pressure field but also alter the kinematics of the Lagrangian CFD scheme with air entrainment from a Machine Learning framework.
https://www.findaphd.com/phds/project/machine-learning-for-violent-free-surface-flows/?p189398
|
| Contact Information: |
| Please mention the CFD Jobs Database, record #19879 when responding to this ad. |
| Name | Benedict ROGERS |
| Email | benedict.rogers@manchester.ac.uk |
| Email Application | Yes |
| URL | https://www.findaphd.com/phds/project/machine-learning-for-violent-free-surface-flows/?p189398 |
| Record Data: |
| Last Modified | 22:45:00, Wednesday, November 12, 2025 |
[Tell a Friend About this Job Advertisement]
