Skip to main content

Create and manipulate OpenFOAM cases

Project description

This module is a addition to PyFoam and can automatically setup OpenFOAM cases with varying conditions.

Getting started

Installing CaseFOAM

In order to use the Python module you need the PyFoam package.

install the package after cloning the repository with:

  $ pip install .

or via pypi by executing:
$ pip install casefoam

User’s Guide

For a full documentation change into doc and build the documentation for example as html.

$ cd doc/
$ make html
$ firefox build/html/index.html

Example

CaseFoam offers two main features: the easy generation of parameter studies and the analysis of these. In the example, we want to change the intial height of the column and perform a grid study for the damBreak test case:

doc/media/damBreak.gif

parameter studies

The first step is the generation of the cases. We want to generate three column heights where each case has three grids with a differnt cell size.

cat genCases.py:

import casefoam

baseCase = 'damBreak'
caseStructure = [['height_02', 'height_03', 'height_04'],
                ['grid1', 'grid2', 'grid3']
                ]

def update_grid(a,b,c,d,e):
    return {
        'system/blockMeshDict': {'#!stringManipulation': {'varA': '%s' %a,
                                                          'varB': '%s' %b,
                                                          'varC': '%s' %c,
                                                          'varD': '%s' %d,
                                                          'varE': '%s' %e
                                                          }
                                }
    }

def update_height(height):
    return {
        'system/setFieldsDict': {'#!stringManipulation':
                                {'var_height': '%s' %height}}
    }

caseData = {
    'height_02': update_height(0.2),
    'height_03': update_height(0.3),
    'height_04': update_height(0.4),
    'grid1': update_grid(23,8,19,42,4),
    'grid2': update_grid(23*2,8*2,19*2,42*2,4*2),
    'grid3': update_grid(23*3,8*3,19*3,42*3,4*3)
}

# generate cases
casefoam.mkCases(baseCase, caseStructure, caseData, hierarchy='tree',writeDir='Cases')

There a three different options how the cases can be manipulated:

  • replacing a string inside the specified files

  • executing a bash script

  • by specifying a dictionary

for details please see the user manual.

The script is executed by:

python genCases.py

This will the generate the following structure:

doc/media/caseStructure.png

The cases can be started by running the newly created Allrun script

./Allrun

postProcessing

Three functions are avaiable for the postProcessing:

  • time_series

  • positional_field

  • posField_to_timeSeries

For the damBreak test case we want to plot the freesurface position at a given time. For that, we use the positional_field function and get a pandas dataframe which we plot with holoviews

import casefoam
import matplotlib.pyplot as plt
import pandas as pd
import holoviews as hv
hv.extension('bokeh')

caseStructure = [['height_02', 'height_03', 'height_04'],
                ['grid1', 'grid2', 'grid3']]
baseCase = 'Cases'
surfaceDir = 'freeSurface'
surface = casefoam.positional_field(surfaceDir,'U_freeSurface.raw',0.3,caseStructure,baseCase)
surface.columns = ['x','y','z','Ux','Uy','Uz','col_height','res']
surface_ds = hv.Dataset(surface, [ 'col_height','res'], ['x','y','z','Ux','Uy','Uz'])

holoviews is optimized for the use for the jupyter notebooks. The %%opts arguments are used to modify the layout of the plot. holoviews renders an interactive plot which can be exported as html:

%%opts Scatter [width=600,height=600,title='freeSurface at 0.3s',tools=['hover']]
%%opts (muted_alpha=0.0)
surface_ds.to(hv.Scatter,'x','y').overlay('res')
doc/media/freeSurface.gif

version 0.0.1

0.0.1 (2021-04-14)

  • First release on PyPI.

version 0.0.2

0.0.2 (2021-04-14)

  • First release on PyPI.

version 0.0.3

0.0.3 (2021-04-14)

  • First release on PyPI.

version 0.0.4

0.0.4 (2021-04-14)

  • First release on PyPI.

version 0.1.0

0.1.0 (2022-02-16)

  • added CI

  • replaced append with concat

version 0.1.1

0.1.1 (2022-05-18)

  • new Function: of_cases finds all OpenFOAM cases in folder

version 0.2.0

0.2.0 (2022-05-18)

  • new Function: profiling allows to load profiling data from OpenFOAM

add profiling to system controlDict:
profiling
{
    active      true;
    cpuInfo     false;
    memInfo     false;
    sysInfo     false;
}
prof = casefoam.profiling(time=0,processorDir="", caseStructure=caseStructure,baseCase=baseCase)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

casefoam-0.2.0.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

casefoam-0.2.0-py3-none-any.whl (29.4 kB view details)

Uploaded Python 3

File details

Details for the file casefoam-0.2.0.tar.gz.

File metadata

  • Download URL: casefoam-0.2.0.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for casefoam-0.2.0.tar.gz
Algorithm Hash digest
SHA256 f86818f3a40726173ee430d71144d16683945224438d3462f691328ba70610a6
MD5 502265126fb6d8bb6f34a25c9a61be73
BLAKE2b-256 22605b3046afe6e6d4c107c30c2874162e121b144f553386a1ed14f14d631da6

See more details on using hashes here.

File details

Details for the file casefoam-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: casefoam-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 29.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for casefoam-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bbfe202d8cc8b33c7e74ac20769dbf3bc6b7355abf4e8ac4ae973fdb4633b166
MD5 9ff4deaec14441f2ce56722ee1a2588a
BLAKE2b-256 09c0a9d30ed78c798e1c148930991054479abb5b2a1ee402065720212e6169e5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page