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Reliability based analysis of the crosswind stability of railway vehicles

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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Abstract

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).

Document Type:Article
Title:Reliability based analysis of the crosswind stability of railway vehicles
Authors:
AuthorsInstitution or Email of Authors
Carrarini, AntonioUNSPECIFIED
Date:2007
Journal or Publication Title:Journal of Wind Engineering and Industrial Aerodynamics
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:95
Page Range:pp. 493-509
Publisher:Elsevier Ltd.
ISSN:0167-6105
Status:Published
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
Location: Oberpfaffenhofen
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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