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Aerodynamic Shape Optimization of Train Heads using Adjoint-Based Computational Fluid Dynamics with different Objective Functions

Jakubek, Daria and Wagner, Claus (2016) Aerodynamic Shape Optimization of Train Heads using Adjoint-Based Computational Fluid Dynamics with different Objective Functions. Railways 2016, The Third International Conference on Railway Technology: Research, Development and Maintenance, 05. - 08. April 2016, Cagliari, Italy. DOI: 10.4203/ccp.110.41 ISSN 1759-3433

Full text not available from this repository.

Official URL: http://www.civil-comp.com/conf/rw2016/rw2016.htm

Abstract

Aerodynamic design of modern high-speed trains requires efficient optimization stategies for train specific operating conditions and objective functions. Adjoint-based shape optimization using computational fluid dynamics has become a preferred optimization technique for vehicles, as it is the only method which allows rapid optimization for extremely large numbers of surface parameters. Based on the continuous adjoint formulation for the computation of sensitivities of incompressible, steady-state, ducted flows, we will describe and introduce an iterative, CAD-free, continuous, adjoint-based shape optimization procedure using gaussian filtered sensitivities and mesh morphing with radial basis function interpolation for the optimization of the front part of the model of a conceptual, generic high-speed train with respect to drag and pressure wave. The presented results will prove the efficiency of the developed process chain. We will show that the sidewise extension of the vehicle plays an important role for the intensity of the generated pressure wave. In contrast, the most sensitive areas and most significant modifications during drag optimization could be found in the front part of the nose tip section.

Item URL in elib:https://elib.dlr.de/100650/
Document Type:Conference or Workshop Item (Speech)
Title:Aerodynamic Shape Optimization of Train Heads using Adjoint-Based Computational Fluid Dynamics with different Objective Functions
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Jakubek, Dariadaria.jakubek (at) dlr.deUNSPECIFIED
Wagner, Clausclaus.wagner (at) dlr.deUNSPECIFIED
Date:2016
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.4203/ccp.110.41
Page Range:pp. 1-20
Series Name:Conference Proceedings online
ISSN:1759-3433
Status:Published
Keywords:high-speed trains, numerical aerodynamics, shape optimization, adjoint methods, mesh morphing, radial basis functions, filtered gradients
Event Title:Railways 2016, The Third International Conference on Railway Technology: Research, Development and Maintenance
Event Location:Cagliari, Italy
Event Type:international Conference
Event Dates:05. - 08. April 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Next Generation Train III (old)
Location: Göttingen
Institutes and Institutions:Institute of Aerodynamics and Flow Technology > Fluid Systems
Deposited By: Bachmann, Barbara
Deposited On:10 Jan 2017 16:12
Last Modified:10 Jan 2017 16:12

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