pyHarm-os 1.1.3

A Harmonic Balance code for mechanical vibration systems with nonlinearities.

pyHarm presentation

pyHarm is an Harmonic Balance Method (HBM) based solver for mechanical nonlinear system simulations distributed under Apache 2.0 license (see LICENSE file for more detail about the license). The code is built as a python package and aims at performing a wide range of studies in the field of nonlinear dynamic simulations. Its main feature is Forced Response Frequency analysis using an harmonic balance solver enhanced with continuation methods.

The philosophy behind the code is to treat the mechanical system as an assembly of elementary elements/connectors such that their contribution to the residual and jacobian can be evaluated independantly.

The code is extensively using the factory design pattern in the subpackages to introduce abstract and flexibility when developing new components.

Documentation is available on readthedocs :

• https://pyharm-saf.readthedocs.io/en/latest/

Basic Installation

pyHarm is provided as a complete Python package. To install the package, use the pip Python package installer with the following command:

pip install pyHarm-os

We strongly recommend using the package within a virtual environment dedicated to the library. A pyharm_env.yml file is available in the directory, enabling you to easily build a conda environment with the following command:

conda env create --name YOUR_ENV_NAME -f pyharm_env.yml

where YOUR_ENV_NAME is your chosen name for the environment. Otherwise, the default name pyHarm_env will be used and can be accessed via:

conda activate YOUR_ENV_NAME

Once your clean environment is ready and active, just install pyHarm using pip install pyHarm-os

For more details about the installation process, please refer to the dedicated section of the documentation.

Project content description

The repository comprises three folders. The core files of the pyHarm code are contained in the src folder. The Tutorials folder contains a set of Tutorials to learn how to use pyHarm in the form of Jupyter Notebooks. Finally, the tests folder contains a set of pytest tests divided into two sections :

• unitests : contains small tests that check specific parts of the source code
• nonregression : contains complete analysis of use cases

To run the tests, use the following command with your pyHarm environment activated, replacing NAME_TEST_CAT with one of the aforementioned categories:

pytest -m NAME_TEST_CAT

$TEST_SET$	Description
all	run all the tests contained in test folder
unit	run only the unit tests that check specific parts of the source code
nonregression	run only the nonregression tests that contain complete analysis of use cases

NB: When installing the pyHarm package, the tests as well as the Tutorials do not get installed alongside.