pyCFS-data: Data Processing Framework in Python for openCFS

Autor: Wurzinger, Andreas, Schoder, Stefan
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: Many numerical simulation tools have been developed and are on the market, but there is still a strong need for appropriate tools capable of simulating multi-field problems, especially in aeroacoustics. Therefore, openCFS provides an open-source framework for implementing partial differential equations using the finite element method. Since 2000, the software has been developed continuously. The result is openCFS (before 2020, known as CFS++ Coupled Field Simulations written in C++). In this paper, we present pyCFS-data, a data processing framework written in Python to provide a flexible and easy-to-use toolbox to access and manipulate, pre- and postprocess data generated by or for usage with openCFS.
Databáze: arXiv