User guide

In the PyDYNA installation, the docker directory has two child directories:

In the PyDYNA installation, the docker directory has two child directories:

• pre: Contains the package with the pre Docker image for the pre service. This service provides highly abstracted APIs for creating and setting up DYNA input decks for DynaMech, DynaIGA, DynaICFD, DynaSALE, DynaEM, and DynaAirbag.

• solver: Contains the package with the dynasolver Docker image for the solver service. This service provides highly abstracted APIs for interacting directly with the Ansys LS-DYNA solver. Because LS-DYNA is primarily a batch solver with very limited interactive capabilities, the solver service is similarly limited. The target use case is that LS-DYNA is running in a container environment such as Docker or Kubernetes. Using this service, you can push input files to the container, start LS-DYNA and monitor its progress, and then retrieve Ansys solver results (RST) files.

Once you have results, you can use the Ansys Data Processing Framework (DPF), which is designed to provide numerical simulation users and engineers with a toolbox for accessing and transforming simulation data. DPF can access data from Ansys solver RST files and from several files with neutral formats, including CSV, HDF5, and VTK. Using DPF’s various operators, you can manipulate and transform this data.

The ansys-dpf-post package provides a simplified Python interface to DPF, thus enabling rapid postprocessing without ever leaving a Python environment. For more information on DPF-Post, see the DPF-Post documentation.