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From 11 May 2020 to 13 May 2020

High-fidelity simulations of Turbomachinery Flows

nasri |  

ANNOUNCED
Deadline for registration: 15 days before the starting date of each training
Duration : 3 days / (21 hours)

Pre-registration

 

Abstract

This training course aims at providing advanced training and formation in the field of turbomachinery flows. To do so, participants will reinforce their theoretical background in fluid dynamics as understood in the context of turbomachinery applications. These specificities will then be particularly developed in the specific context of Large Eddy Simulations whenever devised for the prediction of these flows. In this case, introduction and use of the in-house CERFACS LES code, named Turbo AVBP, will be specifically detailed. To do so, Hands-on sessions are organized to put the theoretical courses into practice.

 

Objective of the training session

The objective of this training course is to become familiar with LES of turbomachinery flows and more specifically the use of the proposed tool Turbo AVBP.

Learning outcomes

On completion of this course, you will be able to:

  • Explain the concept of turbulent scale separation and LES
  • Use and constructed test cases around turbomachinery applications with Turbo AVBP,
  • Define a-priori parameters for a Turbo AVBP LES computation (mesh genration, CPU cost…)
  • Become familiar numeric and modeling of LES for such flows
  • Analyze the predictions

Target participants

This training session is for students, engineers, physicists and computer scientists who wish to reinforce or extend their theoretical background to the precise use and analysis of LES simulations. Specific use of Turbo AVBP will also be enforced.

Prerequisites

In order to follow this course, you need to:

  • Knowledge of Unix commands.
  • Basic knowledge of Python.
  • Knowledge of numerical flow simulations.

In order to verify that the prerequisites are satisfied, the following questionnaires must be completed. You need to get at least 75% of correct answers in order to be authorized to follow this training session. If you don’t succeed it, your subscription will not be validated. You only have two chances to complete them.

Questionnaire 1 : https://docs.google.com/forms/d/10CmaWgYni68tFjNwdW2QCIylPsQf81Fa_du_1dOrecY/edit

Questionnaire 2 : https://goo.gl/forms/dmBNAmZq1aJLknXD2

Questionnaire 3 : https://goo.gl/forms/mbH6Ye8k0GbyYNHt2

Scientific contact: Laurent Gicquel

Fee

  • Trainees/PhDs/PostDocs : 210 €
  • CERFACS shareholders/CNRS/INRIA : 600 €
  • Public : 1200 €

Program

From 9h to 17h00
Jour 1

  • Physics of turbomachinery flows, aerodynamics of compressor/turbines, losses, flow stability/instabilities
  • Unsteady phenomena, rotor / stator interactions, multi-stages

Jour 2

  • CFD modeling of turbomachinery flows: RANS, URANS, LES state-of-the-art
  • Numeric and modeling in LES of turbomachinery flows: Turbo AVBP context

Jour 3

  • Complex turbomachinery LES: Turbo AVBP setup and case construction
  • Complex turbomachinery LES: Turbo AVBP advanced post-processing

Final examination

A final exam will be conducted during the training.

Pre-registration

NEWS

THESIS PRIZE PAUL CASEAU, Thibaut LUNET, November 13, 2019

Brigitte Yzel |  14 November 2019

THESIS PRIZE PAUL CASEAU 2019 was awarded on November 13, 2019 by EDF and National Academy of Technologies of France to M. Thibaut LUNET doctoral student of the ALGO team, for his thesis defended on 9 January 2018 and entitled "Space-time parallel strategies for the numerical simulation of turbulent flows"  Read more


A PhD student awarded of the “Outstanding Student Poster” of EGU

superadmin |  6 November 2019

Rem-Sophia MOURADI, PhD student at CERFACS  and EDF R&D Hydraulic Department, has been awarded of the "Outstanding Student Poster", during the EGU General Assembly 2019 (European Geosciences Union). This international conference gathers each year about 16 000 scientists with 6 000 oral presentations and 10 000 posters. Among the 2 500 posters presented by PhD students, fifty only are awarded with this price, that to say 2%. A combined orthogonal decomposition and polynomial chaos methodology for data-based analysis and prediction of coastal dynamics (Mouradi, R.-S.; Goeury, C.; Thual, O.; Zaoui, F.; Tassi, P.)Read more

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