Modelling & Simulation

The creation of mathematical models for the description of (dynamic) systems with numerical simulation in different detailing and precisions builds the fundament for

• Computer Aided Engineering (CAE),
• so-called "Digital Twins",
• scenario-based development with stochastic simulation,
• multi-criteria and multi-disciplinary optimization and design improvement,
• model-based, predictive control.

ANDATA has extensive experience and expertise in the fields of

• finite element methods,
• multi-body simulation,
• micro-simulation and multi-agent simulation,
• macro-simulation

with corresponding commercial programs as well as specific, self-developed modelling and simulation methods. These are accompanied by specific and combined experience in example- and data-based modelling with Machine Learning and SoftComputing approaches.

Topics

Beside the pure execution of modelling and simulation methods comprehensive and specific know how of ANDATA is available in the topics of

• meta-modelling,
• surrogate modelling (e.g. with Machine Learning approaches like in CoMModO),
• hybrid modelling,
• co-simulation and coupled simulations,
• simulation data quality management and automated plausibilization of simulation results,
• AI-based, extended, (semi-)automated and auto-adaptive post-processing,
• stochastic simulation and robustness management,
• multi-criteria and multi-disciplinary optimization.