Institut National Polytechnique De Grenoble

Advanced Numerical Simulations


Iowa State Course Substitution

ME Technical Elective


Course Info

International Credits: 5.0
Converted Credits: 3.0
Country: France
Language: English
Course Description:
Advanced Numerical Simulations - 5EUS5SNA Goals Knowledge of CFD (Computational Fluid Dynamics) solver with a specific focus on energy systems design. Accurate use of CFD solver needs to well understand modeling of physical process and their numerical resolution (numerical method, turbulence models, multiphase flows, complex geometries, ...). First part of these courses will be a complement of previous academic years in fluid mechanic and numerical methods. After this first common part, 3 specific courses will be available: • Specific overview for numerical resolution of thermal hydraulic problems • Specific overview of meshing and geometric models • Specific overview on optimization and optimal design Contact Guillaume BALARAC Content Part 1: Computational Fluid Dynamic (CFD) for the design of energy systems (English course) • Turbulence model • Modeling of multiphase flows • Complex geometries and Verification & Validation in CFD • Project: analyze of energy systems with commercial CFD code. Part 2: Specific overview Option 1: thermal hydraulic problems for nuclear plants. From "systemic" approach (1D / quasi 1D modeling of all the system) to "local" approach (3D-CFD for specific component). Overall methodology will be applied on a simplify case. Option 2: Geometric models for various application (thermal, fluid, structure, ...): data exchange, model simplification, model optimization Option 3: Optimization for the design of energy systems. Some selected optimization techniques are described in detail to develop an in-depth knowledge of the user-defined parameters upon which the engineer can play in order to maximize the performance of these techniques (faster convergence to a global optimum). Since the course is oriented towards engineering and not mathematical optimization the cost of the ABOUT US STUDIES RESEARCH INTERNATIONAL COMPANIES STUDENT LIFE Number of hours Lectures : 30.0 Tutorials : 18.0 Laboratory works : 40.0 ECTS : 5.0 Page 1 optimization process will be carefully analyzed and practicals means to reduce this cost by the use of surrogate models will be proposed and described. Selected optimization techniques will be applied to some multi-objective multi-parameter engineering problems and analysis tools such as parallel coordinates, self-organizing maps will be described and also applied. Techniques for robust design optimization will be finally reviewed in order to avoid selecting an over-sensitive optimal design. The lectures hours will systematically alternate with lab work sessions where real-life engineering optimization problems will be solved using the commercial software modeFRONTIER. Once skilled enough with the software, the students will apply it to the solution of a real-life optimal design problem on which they will write a full technical report. Prerequisites Good knowledge in fluid mechanic (turbulent and laminar flows), heat transfer, basic in numerical simulation for fluid and basic in multiphase flows. Tests Exam 2 projects (part 1 and part 2) CTD : CTD proposé au choix par intervenants CEA (IEN + % ME + %FME) - correspond au groupe 1 CTD1 ! CTD proposés au choix : groupe 2 (%ME) et groupe 3 (%ME + %FME) 50% DS + 50% CC Additional Information Semester 5 - This course is given in english only Course list Curriculum->->Semester 5 Curriculum->->Semester 5 Curriculum->Engineer ME->Semester 5 Curriculum->Engineer IEN->Semester 5 Curriculum->ENTECH->Semester 5 VERSION FRANÇAISE Voir la version française de cette page Page 2 × Ecole Nationale Supérieure de l'Energie, l'Eau et l'Environnement 21 avenue des Martyrs CS 90624 38031 GRENOBLE CEDEX 1 To improve the quality of this site and the service rendered to the user, we use cookies audience measurement. By continuing your visit to this site, you agree to our use of cookies for this purpose. More


Evaluation Date:
November 1, 2017
John Wagner
The content taught in this course is similar in difficulty to material taught in a graduate level class.