Title: Modelling and simulation of shock-interface interactions
Date: 2023-03-20 16:31
Slug: job_fba2fa8fa966b3bb0f59e927d9d0408f
Category: job
Author: Hoarau Yannick
Email: hoarau@unistra.fr
Job_Type: Thèse
Tags: these
Template: job_offer
Job_Location: Strasbourg
Job_Duration: 3 Ans
Job_Website: https://irmiapp.unistra.fr/jobs/phd-positions#c58931
Job_Employer: ITI IRMIA++, Université de Strasbourg
Expiration_Date: 2023-04-25
Attachment: job_fba2fa8fa966b3bb0f59e927d9d0408f_attachment.pdf
Multiphase flows involving shock-interface interactions appear in a large quantity of engineering and biomedical applications: nuclear power plant and safety, hydraulic components in cavitating regime, naval propeller, fuel injection, medical treatment such as lithotripsy or drug delivery, water treatment, surface cleaning, etc. The physical modelling and numerical prediction faces numerous obstacles due to the heat and mass transfers between phases, the large variation of thermodynamics properties (close to the vacuum up to the critical point), the presence of extremely strong shock waves (pressure jump higher than 10,000 bar) which can interfere between them and impact bubble/droplet interfaces, compressibility effects and non-equilibrium
thermodynamic states, multi-scale phenomena, hydrodynamic and interface instabilities and a fluid-structure coupling with the potential material damage (solid walls or human tissue for medical applications).
The accurate prediction by using numerical simulation is really challenging, even for simple geometries, because of the large stiffness of the PDE systems involving source terms and non-conservative formulation. Such simulations require not only an accurate model to treat the interface region and the complex shock waves interaction correctly, but also highly efficient flow solvers to manage the necessary large resolution near interfaces leading to computational grids typically greater than 1 billion nodes. High-speed dynamics and very small spatio-temporal scales conduct to an intensive computing usage. Massively parallel strategies combined with accurate and robust methods around well-posed models are therefore necessary to develop for the computing of such multiphase problems.