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Daniel Duque Campayo

Cursos de música online Latex, Beamer, Python, Beauty Boring stuff Better with stock pictures Prueba Tired of that “TeX” look? Plotting 2D column-shaped results with python Grabaciones al aire libre Quick von Neumann stability analysis
A markdown test
2018-02-26 · via Daniel Duque Campayo

This is a test of markdown blog writing. The writing comes straight from my website on CFD methods. These were written in markdown under reveal.js, for quick and nice lecture slides. Some changes had to be made:

  • LaTeX must start as “dollar sign latex” … “dollar”
  • Links to local files (such as pictures) don’t work
  • Lists (such as this one) do not seem to work well

Muy a menudo, se parte de las EDPs, conocidas, por ejempo:

\frac{\partial u}{\partial t} + c \frac{\partial u}{\partial x} = 0

Estas se discretizan: sustituyendo las derivadas por diferencias.

Sin embargo, este es un proceso de ida y vuelta, porque
las EDPs se deducen a nivel discreto.

Deducción

Se suponen cambios de un campo u sólo
en la dirección x

Esquema de convección en 1D

Esquema de convección en 1D

conveccion_1d

parts_bw_values_250

El cambio en la cantidad total A \Delta x \, u_i será:

\frac{d }{d t} (A \Delta x \, u_i ) = \Phi_{i-1/2} - \Phi_{i+1/2}

Flujos, convección

Antes los flujos por las caras venían dados por:

\Phi_{i-1/2} = A c \, u_{i-1/2}

\Phi_{i+1/2} = A c \, u_{i+1/2}

\frac{d }{d t} (A \Delta x \, u_i ) = A c \, u_{i-1/2} - A c \, u_{i+1/2}