Track Irregularities Stochastic Modelling
نویسندگان
چکیده
This paper presents a methodology to build representative railway track geometries thanks to a stochastic modelling. This modelling, which has to integrate the statistical and spatial variabilities and dependencies, is a key issue when using simulation for conception, maintenance or certification purposes, as the dynamic behaviour of the trains is mainly induced by the track geometry. The stochastic process theory is used, combining Karhunen-Loève and polynomial expansions. Through a practical example, this paper finally shows to what extent this methodology gives rise to new promising opportunities for the track geometry maintenance.
منابع مشابه
Track Irregularities Stochastic Modeling
High speed trains are currently meant to run faster and to carry heavier loads, while being less energy consuming and still respecting the security and comfort certification criteria. To face these challenges, a better understanding of the interaction between the dynamic train behavior and the track geometry is needed. As during its lifecycle, the train faces a great variability of track condit...
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