Reduced-order models for structural dynamic Finite Element systems
|Bearbeitung:||Stefanie Tegtmeyer, Prof. Dr.-Ing. Udo Nackenhorst|
|Förderung durch:||State of Lower Saxony|
Computational models from different engineering fields tend to get more and more detailed and complex thanks to the development of more and more powerful computers. Nowadays, solving these large systems of equations is not impossible, but requires a lot of time and computational resources. Therefore, reduced-order models are developed to increase computational efficiency.
The original system with millions of variables is reduced to a much smaller system with only a few variables. The accuracy of the results is preserved to a certain level hereby. Creating reduced-order models leads to more accurate results than using smaller and less detailed models from the start. Also, large systems are difficult to assess. Reduced-order models can be used to focus on the relevant variables. In order to justify the additional computation time during the reduction process, it is essential to develop a method that reduces the original model quickly. The aim of this research project is the development of efficient and numerical robust reduced-order models for dynamic Finite Element systems.