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Efficient models and techniques for the computational analysis of railway vehicles in crosswinds

Carrarini, Antonio (2007) Efficient models and techniques for the computational analysis of railway vehicles in crosswinds. In: Supplement to Vehicle System Dynamics. 20th IAVSD Symposium, Berkeley, CA (USA).

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Abstract

Nowerdays, crosswind stability is a key topic for the homologation of railway vehicles and thus a pivotal boundary condition in their design proccess. In most countries the safety proof is based on the numerical multibody simulation of the driving behaviour of the vehicle assuming a worst case wind scenario. The conservativeness of this approach is aggravated by the uncertainties in the parameters of the simulation models. In this work some possible improvement of the safety proof are firstly discussed, mainly concerning the computational model of the vehicle. An alternative approach based on reliability techniques is then presented and discussed, finally leading to a more efficient assessment of the risk and thus to a reduction of the safety factors.

Item URL in elib:https://elib.dlr.de/55651/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Efficient models and techniques for the computational analysis of railway vehicles in crosswinds
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Carrarini, AntonioUNSPECIFIEDUNSPECIFIED
Date:2007
Journal or Publication Title:Supplement to Vehicle System Dynamics
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Status:Published
Keywords:numerical simulation, crosswind stability, parametric uncertainty, reliability analysis
Event Title:20th IAVSD Symposium
Event Location:Berkeley, CA (USA)
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - VECTOR21 (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (until 2012) > System Dynamics and Control (former Control Design Engineering)
Deposited By: Klauer, Monika
Deposited On:17 Oct 2008
Last Modified:09 Feb 2017 19:17

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