Research Areas

mamimir_3c

Research Areas CE

Hierarchical modelling and simulation

The modelling, simulation and optimisation of increasingly sophisticated engineering problems necessitates the construction of a set of several models, each with their own accuracy (fidelity) and computational complexity, serving at different design stages. The combination and interaction of different models is organised within a hierarchical modeling and simulation context.

Uncertainty quantification and optimization

Geometry, material, operational environmental parameters come with an uncertainty, typically within a predictable range. The effect thereof on the performance, efficiency and reliability of the device needs to be quantified during design. Moreover, designs are optimized on the basis of their numerical models. The combination of both leads to robust designs.

Multiphysical models and co-simulation

Engineering applications cover phenomena of different physical nature (e.g. fluid dynamics, structural dynamics, electromagnetism), typically heavily influencing each other. Their simulation requires multiphysical models accompanied by weak or strong coupling or co-simulation approaches.

Multiscale and multirate methods

Phenomena in engineering applications happen at different scales in space and time. Efficient simulation techniques rely upon multiscale and multirate methods respectively. To that purpose, solutions are iterated between fine and coarse scales in order to both provide an efficient simulation approach and an accurate description of the physical behavior at all considered scales.

Holistic computational engineering

Modelling, simulation and optimisation has revolutionised engineering design. Instead of a few physical prototypes, chains and families of simulation models represent the first concept, the intermediate designs and finally the entire array of products. The ensemble of simulation models needs to be stored, verified and checked for consistency. Mappings between models and operations on models need to follow structured patterns, not only for building a relational database, supporting the design process, construction and operational life of the device.

High-performance computing

Contemporary simulation tasks necessitate the use of high-performance computing systems and the adaptation of algorithms to the available computing infrastructure. Moreover, appropriate use of such systems requires dedicated research on the algorithmic level.