viroconcom 1.1.5

ViroCon's numerical core: computes n-dimensional environmental contours

ViroCon is a software to compute environmental contours.

About

viroconcom is a package belonging to the software ViroCon. The package viroconcom handles the statistical computations.

ViroCon helps you to design marine structures, which need to withstand load combinations based on wave, wind and current. It lets you define extreme environmental conditions with a given return period using the environmental contour method.

The following methods are implemented in viroconcom:

• Fitting a probabilistic model to measurement data using maximum likelihood estimation

• Defining a probabilistic model with the conditonal modeling approach (CMA)

• Computing an environmental contour using either the

  • inverse first-order reliability method (IFORM),

  • inverse second-order reliability method (ISORM) or the

  • highest density contour (HDC) method

ViroCon is written in Python 3.6.4. The software is seperated in two main packages, viroconweb and viroconcom. This is the repository of viroconcom, which is the numerical core. It handles the statistical computations. viroconweb builds on viroconcom and is a web-based application with a graphical user interface. It has its own repository.

How to use viroconcom

Requirements

Make sure you have installed Python 3.6.4 by typing

python --version

in your shell.

Consider using the python version management pyenv.

Install

Install the latest version of viroconcom from PyPI by typing

pip install viroconcom

in your shell.

Alternatively, you can install from viroconcom repository’s Master branch by typing

pip install https://github.com/virocon-organization/viroconcom/archive/master.zip

in your shell.

Usage

viroconcom is designed as an importable package.

The documentation gives examples how to fit a distribution to measurement data and how to compute environmental contours.

Additionally, the folder examples contains python files that show how one can import and use viroconcom.

As an example, to run the file calculate_contours_similar_to_docs.py, use your shell to navigate to the folder that contains the file. Then make sure that you have installed the python package matplotlib or install it by typing

pip install matplotlib

in your shell.

Now run the Python file by typing

python calculate_contours_similar_to_docs.py

in your shell.

Documentation

Code. The code’s documentation can be found here.

Paper. We are currently writing an academic paper describing ViroCon. We will provide a link to it here.

Contributing

There are various ways you can contribute. You could

• improve the code,

• improve the documentation,

• add a feature or

• report a bug or an improvement and leave it to us to implement it.

Issue. If you spotted a bug, have an idea for an improvement or a new feature, please open a issue. Please open an issue in both cases: If you want to work on in yourself and if you want to leave it to us to work on it.

Fork. If you want to work on an issue yourself please fork the repository, then develop the feature in your copy of the repository and finally file a pull request to merge it into our repository.

Conventions. In our Contribution Guide we summarize our conventions, which are consistent with PEP8.

License

This software is licensed under the MIT license. For more information, read the file LICENSE.