Speaker
Description
The SBB infrastructure is one of the most densely used networks in the world, with heavy, slow freight and fast, frequent passenger traffic running on the same tracks.
The maintenance of the assets is a major challenge, because service interruptions for maintenance have to be integrated into the timetable for a very long time (> 1 year).
Based on rail treatment, the presentation shows which rolling contact fatigue defects (RCF) occur mainly at SBB-Track and how important it is to know the right time to intervene for early, still repairable defect elimination. Today we have a lot of calculation methods of material research for explain and predict RCF. So far so good, but how can these models to be scaled and applied to an entire railway network?
SBB has been working on applied research for years, many data prepared, and calculation methods have been created in the last decade. The currently very simple prediction system of RCF and the approach of replacing parts with more detailed material research based models of the MCL are to be explained on the SBB rail maintenance as example.
It is the central part, that the railways must move forward with the creation of data and calculation basics as SBB has done. But researcher community must move as well! Highly complex and therefore truthful models with detailed input parameters that an infrastructure operator cannot provide will never find a way into practice.
It will be shown in detail in preparation, what SBB has made and how it is planned to connect on the research work of MCL. An example are the changes in generations of locomotive technology, which are a co-trigger of RCF.
This example should be used to show how model changes or parameter replacements alone can influence positive the usability of the models.
| Speaker Country | Switzerland |
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