高性能有限元建模 2

High Performance Finite Element Modeling – Part 2

Learn how to make cutting-edge adaptive FEM supercomputing simulations of aerodynamic principles from top researchers at KTH!

1834 次查看
瑞典皇家理工学院
edX
  • 完成时间大约为 7
  • 高级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

How to describe the Direct FEM Simulation (DFS) methodology, including adaptive error control, slip boundary condition,and turbulent dissipation

Methods for deriving stability estimates for the cG(1)cG(1) FEM applied to Navier-Stokes equations

How to account for general FEM-algorithms such as assembly, adaptvity, and local mesh refinement and have a basic understanding of their implementation in FEniCS-HPC

How to account for parallel data structures and algorithms for distributed memory architectures in a general FEM-framework and inspect their implementation in FEniCS-HPC: distributed computational mesh, ghost entities, distributed sparse linear and non-linear algebra, local mesh refinement by bisection for a distributed computational mesh, and general goal-oriented adaptive error control

Ways to estimate the performance of different parallel algorithms

How to use a general framework, such as FEniCS-HPC, to model and solve general PDE on a supercomputer, and specifically aerodynamics problems with DFS

课程概况

Engineering simulations are rapidly becoming fundamental in virtually all industrial sectors;from medicine to energy, aerospace and beyond. In this course, you will learn the breakthrough general adaptive finite element methods (AFEM) and open source FEniCS software that willenable you to solve the grand challenges in science and engineering.

In this second course in the series, you will carry out advanced, time-resolved parallel simulations of aerodynamics, allowing you to understand the mechanism of flight.

预备知识

Basic knowledge of linear algebra and calculus is a prerequisite to understand the content and therefore strongly recommended. General knowledge of HPFEM01 is strongly recommended.

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