In the development of rail vehicles, new vehicles must undergo certain tests that assess their stability behavior. Limit values restrict the maximum permissible response to excitations. Such tests can be carried out in real test drives or in virtual drives. For the latter, a real test drive is simulated using multi-body simulation software. A model of the rail vehicle is created for this, which moves with a (real) speed profile over a defined route. Track parameters such as the routing, the track gauge and the rail profiles that change along the track are first recorded on the real track using measuring systems and then imported into the simulation in order to be able to carry out a sufficiently complete simulation of the real tracks. This thesis develops a new method for the analysis and processing of rail profiles so as to use them in larger numbers instead of a constant standard profile for the simulation. For this purpose, the measured rail profiles are averaged over a certain length to sort out recording errors or sections without valid profiles. It turns out that the equivalent conicity is not much distorted by the averaging. The results of the calculation with averaged profiles are closer to the measurement result than the comparative calculation with a constant standard profile. This concerns all focus areas considered. The improvement is 15% on average and, in contrast to the comparative calculation, the limit value is not incorrectly exceeded. The use of averaged real rail profiles is therefore possible and leads to a more correct representation of the measurement result for the vehicle-track combination under consideration.
|Translated title of the contribution||Validation of the stability behavior of rail vehicles taking into account real rail and track data|
|Qualification||Master of Science|
|Publication status||Published - Jun 2022|
Fields of Expertise
- Mobility & Production