Hiroshima University Syllabus

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Academic Year School/Graduate School Lecture Code 2017Year School of Engineering K8826040 Specialized Education 数値流体力学 スウチリュウタイリキガク Computational Fluid Dynamics MUTSUDA HIDEMI ムツダ　ヒデミ Higashi-Hiroshima 3rd-Year,  Second Semester,  Second Semester (2nd) Mon5-6：ENG 108 Lecture Lecture and programing 2 J : Japanese 3 : Undergraduate High-Intermediate 25 : Science and Technology 25 : Integrated Engineering Computational Fluid Dynamics (CFD) , Grid based method, Particle based method, Navier-Stokes Equation, Turbulence model Vehicle and Environmental Systems（Knowledge and Understanding）・The area of environmental engineering and fluid mechanics: Technical knowledge on environmental engineering and fluid dynamics relating to vehicle and environmental engineering.（Abilities and Skills）・The area of environmental engineering and fluid mechanics: The ability to use technical knowledge on environmental engineering and fluid dynamics to solve issues relating to vehicle and environmental engineering. Computational Fluid Dynamics is the simulation of fluids engineering systems using modeling (mathematical physical problem formulation) and numerical methods (discretization methods, solvers, numerical parameters, and grid generations, etc.)The result of CFD analyses is relevant engineering data used in Conceptual studies of new designs, detailed product development, troubleshooting and design.Students will have a basic knowledge of the essential elements involved in CFD.Students will have an introductory knowledge of methods used to solve nonlinear system of equations iteratively.Students will be able to develop numerical algorithms for computing governing equations for fluid (Navier-Stokes).Students will have a desire to understand further concepts in CFD, especially as concerns the modeling of systems of governing equations in naval architect, aerodynamics, vehicle, civil eng. and environmental eng. Overview and Introduction for Computational Fluid DynamicsGoverning Equations for fluid and solidCoordinate system and grid generationValidation and VerificationExamination (1)Finite difference method, Finite volume method, temporal derivative, spatial derivative,Solvers for Poisson equation (1) direct Solvers for Poisson equation (2)　iterativeSolving for N-S eq.Examination (2)Introduction of TurbulenceTurbulent model (1) DNS, RANSTurbulent model (2) LES, DESParticle based method (2) MPSExamination (3) Handouts Handouts 2～15. : Students need to leaf through handouts before each lecture. Furthermore, your programming skill in Fortran or C is necessary. Report(50%) and Examination(50%) Math : Linear algebra, calculus, complex variables, ODE and PDE,Physics : some understanding of incompressible and compressible fluid flowComputing : Fortran and C Please fill in the class improvement questionnaire which is carried out on all classes.Instructors will reflect on your feedback and utilize the information for improving their teaching.
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