Welcome to the Data Analytics in Engineering research group located at the University of Stuttgart, Institute of Applied Mechanics (CE) and the SC SimTech.
Generating and processing data from simulations and for simulations is our passion. Navigate to research to find out more about our scientific objectives.
For more information please visit our website.
Explore the fundamentals of implementing user-defined material routines in LS-DYNA using Python and C++. This includes the realization of two-scale simulation schemes using LS-DYNA.
ComBoNormal: Composite Boxel Normal Identification
Jupyter Notebook 2
Thermo-elastic linear homogenization with reduced order models and support for greedy sampling
Surrogates for microstructure property linkages that inherently fulfill the Voigt-Reuss bounds.
FANS: an open-source, efficient, and parallel FFT-based homogenization solver designed to solve microscale multiphysics problems.
Thermo-elastic linear homogenization with reduced order models and support for greedy sampling
Explore the fundamentals of implementing user-defined material routines in LS-DYNA using Python and C++. This includes the realization of two-scale simulation schemes using LS-DYNA.
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