Carrarini, Antonio (2007) Reliability based analysis of the crosswind stability of railway vehicles. Journal of Wind Engineering and Industrial Aerodynamics, 95, pp. 493-509. Elsevier Ltd.. ISSN 0167-6105.
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The computational models used to assess the crosswind stability of railway vehicles by multibody simulation (MBS) are affected by large uncertainties. Especially, the aerodynamic loads acting on the vehilce are difficult to model and the respective parameters cannot be easily aquired. Such uncertainties are usually neglected in the safety norms even though their effects on the risk assessment can be very large. In this paper the problem is tackled by modelling the most infulenctial but uncertain parameters as stochastic variables. The resulting task can be efficiently managed by reliability techniques, mainly inherited from strucutral mechanics. This finally leads to the substitution of the converntional characteristic wind curve (CWC) by the probabilistic characteristic wind curve (PCWC). The proposed approach is referred to the most recent European norms for crosswind stability and exemplified on the test case of a German high speed train (ICE2).
|Title:||Reliability based analysis of the crosswind stability of railway vehicles|
|Journal or Publication Title:||Journal of Wind Engineering and Industrial Aerodynamics|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 493-509|
|Keywords:||railway vehicles, crosswind stability, reliability analysis|
|HGF - Research field:||Aeronautics, Space and Transport (old)|
|HGF - Program:||Transport|
|HGF - Program Themes:||V SH - Verbesserung der Sicherheit im Verkehr (old)|
|DLR - Research area:||Transport|
|DLR - Program:||V SH - Verbesserung der Sicherheit im Verkehr|
|DLR - Research theme (Project):||V -- no assignement|
|Institutes and Institutions:||Institute of Robotics and Mechatronics > System Dynamics and Control (former Control Design Engineering)|
|Deposited By:||Monika Klauer|
|Deposited On:||07 Nov 2008|
|Last Modified:||27 Apr 2009 13:47|
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