Numerical analysis of the effect of train length on train aerodynamic performance

The improved delayed detached eddy simulation is adopted in the present study to investigate the influence of the train length on its aerodynamic performance. The low y+ wall treatment and the cubic constitutive relation are adopted to resolve the viscous flows and model the anisotropic turbulence w...
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Autor*in:	Guang Chen [verfasserIn] Xiaobai Li [verfasserIn] Lei Zhang [verfasserIn] Xifeng Liang [verfasserIn] Shi Meng [verfasserIn] Dan Zhou [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Übergeordnetes Werk:	In: AIP Advances - AIP Publishing LLC, 2011, 12(2022), 2, Seite 025201-025201-21
Übergeordnetes Werk:	volume:12 ; year:2022 ; number:2 ; pages:025201-025201-21

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1063/5.0079587

Katalog-ID:	DOAJ018253792

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520			\|a The improved delayed detached eddy simulation is adopted in the present study to investigate the influence of the train length on its aerodynamic performance. The low y+ wall treatment and the cubic constitutive relation are adopted to resolve the viscous flows and model the anisotropic turbulence within the boundary layer. The analysis implied that the distribution region and intensity of velocity fluctuation are strengthened, resulting in a larger turbulence kinetic energy distribution and a higher boundary layer thickness as the train length increases. A reduction in the streamwise velocity and the negative pressure with the increasing train length on the tail train is observed, resulting in lower drag and lift coefficients. As the length of the train increases, both the mean and instantaneous slipstream velocities are increased. The boundary layer thickness and the skin friction coefficient are compared with flat plate theory, reduced-scale, and full-scale experiments, proving the ability of numerical simulation to model the boundary layer velocity profile and skin friction coefficient distribution correctly. The wake structures are identified by the Spectral Proper Orthogonal Decomposition method, the dominant mode frequency decreases, and the wavelength becomes larger as the length of the train becomes longer due to the thickening boundary layer.
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allfields	10.1063/5.0079587 doi (DE-627)DOAJ018253792 (DE-599)DOAJ38cac9d5fc3a47c3911e78b3064bae66 DE-627 ger DE-627 rakwb eng QC1-999 Guang Chen verfasserin aut Numerical analysis of the effect of train length on train aerodynamic performance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The improved delayed detached eddy simulation is adopted in the present study to investigate the influence of the train length on its aerodynamic performance. The low y+ wall treatment and the cubic constitutive relation are adopted to resolve the viscous flows and model the anisotropic turbulence within the boundary layer. The analysis implied that the distribution region and intensity of velocity fluctuation are strengthened, resulting in a larger turbulence kinetic energy distribution and a higher boundary layer thickness as the train length increases. A reduction in the streamwise velocity and the negative pressure with the increasing train length on the tail train is observed, resulting in lower drag and lift coefficients. As the length of the train increases, both the mean and instantaneous slipstream velocities are increased. The boundary layer thickness and the skin friction coefficient are compared with flat plate theory, reduced-scale, and full-scale experiments, proving the ability of numerical simulation to model the boundary layer velocity profile and skin friction coefficient distribution correctly. The wake structures are identified by the Spectral Proper Orthogonal Decomposition method, the dominant mode frequency decreases, and the wavelength becomes larger as the length of the train becomes longer due to the thickening boundary layer. Physics Xiaobai Li verfasserin aut Lei Zhang verfasserin aut Xifeng Liang verfasserin aut Shi Meng verfasserin aut Dan Zhou verfasserin aut In AIP Advances AIP Publishing LLC, 2011 12(2022), 2, Seite 025201-025201-21 (DE-627)641391706 (DE-600)2583909-3 21583226 nnns volume:12 year:2022 number:2 pages:025201-025201-21 https://doi.org/10.1063/5.0079587 kostenfrei https://doaj.org/article/38cac9d5fc3a47c3911e78b3064bae66 kostenfrei http://dx.doi.org/10.1063/5.0079587 kostenfrei https://doaj.org/toc/2158-3226 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 2 025201-025201-21
spelling	10.1063/5.0079587 doi (DE-627)DOAJ018253792 (DE-599)DOAJ38cac9d5fc3a47c3911e78b3064bae66 DE-627 ger DE-627 rakwb eng QC1-999 Guang Chen verfasserin aut Numerical analysis of the effect of train length on train aerodynamic performance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The improved delayed detached eddy simulation is adopted in the present study to investigate the influence of the train length on its aerodynamic performance. The low y+ wall treatment and the cubic constitutive relation are adopted to resolve the viscous flows and model the anisotropic turbulence within the boundary layer. The analysis implied that the distribution region and intensity of velocity fluctuation are strengthened, resulting in a larger turbulence kinetic energy distribution and a higher boundary layer thickness as the train length increases. A reduction in the streamwise velocity and the negative pressure with the increasing train length on the tail train is observed, resulting in lower drag and lift coefficients. As the length of the train increases, both the mean and instantaneous slipstream velocities are increased. The boundary layer thickness and the skin friction coefficient are compared with flat plate theory, reduced-scale, and full-scale experiments, proving the ability of numerical simulation to model the boundary layer velocity profile and skin friction coefficient distribution correctly. The wake structures are identified by the Spectral Proper Orthogonal Decomposition method, the dominant mode frequency decreases, and the wavelength becomes larger as the length of the train becomes longer due to the thickening boundary layer. Physics Xiaobai Li verfasserin aut Lei Zhang verfasserin aut Xifeng Liang verfasserin aut Shi Meng verfasserin aut Dan Zhou verfasserin aut In AIP Advances AIP Publishing LLC, 2011 12(2022), 2, Seite 025201-025201-21 (DE-627)641391706 (DE-600)2583909-3 21583226 nnns volume:12 year:2022 number:2 pages:025201-025201-21 https://doi.org/10.1063/5.0079587 kostenfrei https://doaj.org/article/38cac9d5fc3a47c3911e78b3064bae66 kostenfrei http://dx.doi.org/10.1063/5.0079587 kostenfrei https://doaj.org/toc/2158-3226 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 2 025201-025201-21
allfields_unstemmed	10.1063/5.0079587 doi (DE-627)DOAJ018253792 (DE-599)DOAJ38cac9d5fc3a47c3911e78b3064bae66 DE-627 ger DE-627 rakwb eng QC1-999 Guang Chen verfasserin aut Numerical analysis of the effect of train length on train aerodynamic performance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The improved delayed detached eddy simulation is adopted in the present study to investigate the influence of the train length on its aerodynamic performance. The low y+ wall treatment and the cubic constitutive relation are adopted to resolve the viscous flows and model the anisotropic turbulence within the boundary layer. The analysis implied that the distribution region and intensity of velocity fluctuation are strengthened, resulting in a larger turbulence kinetic energy distribution and a higher boundary layer thickness as the train length increases. A reduction in the streamwise velocity and the negative pressure with the increasing train length on the tail train is observed, resulting in lower drag and lift coefficients. As the length of the train increases, both the mean and instantaneous slipstream velocities are increased. The boundary layer thickness and the skin friction coefficient are compared with flat plate theory, reduced-scale, and full-scale experiments, proving the ability of numerical simulation to model the boundary layer velocity profile and skin friction coefficient distribution correctly. The wake structures are identified by the Spectral Proper Orthogonal Decomposition method, the dominant mode frequency decreases, and the wavelength becomes larger as the length of the train becomes longer due to the thickening boundary layer. Physics Xiaobai Li verfasserin aut Lei Zhang verfasserin aut Xifeng Liang verfasserin aut Shi Meng verfasserin aut Dan Zhou verfasserin aut In AIP Advances AIP Publishing LLC, 2011 12(2022), 2, Seite 025201-025201-21 (DE-627)641391706 (DE-600)2583909-3 21583226 nnns volume:12 year:2022 number:2 pages:025201-025201-21 https://doi.org/10.1063/5.0079587 kostenfrei https://doaj.org/article/38cac9d5fc3a47c3911e78b3064bae66 kostenfrei http://dx.doi.org/10.1063/5.0079587 kostenfrei https://doaj.org/toc/2158-3226 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 2 025201-025201-21
allfieldsGer	10.1063/5.0079587 doi (DE-627)DOAJ018253792 (DE-599)DOAJ38cac9d5fc3a47c3911e78b3064bae66 DE-627 ger DE-627 rakwb eng QC1-999 Guang Chen verfasserin aut Numerical analysis of the effect of train length on train aerodynamic performance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The improved delayed detached eddy simulation is adopted in the present study to investigate the influence of the train length on its aerodynamic performance. The low y+ wall treatment and the cubic constitutive relation are adopted to resolve the viscous flows and model the anisotropic turbulence within the boundary layer. The analysis implied that the distribution region and intensity of velocity fluctuation are strengthened, resulting in a larger turbulence kinetic energy distribution and a higher boundary layer thickness as the train length increases. A reduction in the streamwise velocity and the negative pressure with the increasing train length on the tail train is observed, resulting in lower drag and lift coefficients. As the length of the train increases, both the mean and instantaneous slipstream velocities are increased. The boundary layer thickness and the skin friction coefficient are compared with flat plate theory, reduced-scale, and full-scale experiments, proving the ability of numerical simulation to model the boundary layer velocity profile and skin friction coefficient distribution correctly. The wake structures are identified by the Spectral Proper Orthogonal Decomposition method, the dominant mode frequency decreases, and the wavelength becomes larger as the length of the train becomes longer due to the thickening boundary layer. Physics Xiaobai Li verfasserin aut Lei Zhang verfasserin aut Xifeng Liang verfasserin aut Shi Meng verfasserin aut Dan Zhou verfasserin aut In AIP Advances AIP Publishing LLC, 2011 12(2022), 2, Seite 025201-025201-21 (DE-627)641391706 (DE-600)2583909-3 21583226 nnns volume:12 year:2022 number:2 pages:025201-025201-21 https://doi.org/10.1063/5.0079587 kostenfrei https://doaj.org/article/38cac9d5fc3a47c3911e78b3064bae66 kostenfrei http://dx.doi.org/10.1063/5.0079587 kostenfrei https://doaj.org/toc/2158-3226 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 2 025201-025201-21
allfieldsSound	10.1063/5.0079587 doi (DE-627)DOAJ018253792 (DE-599)DOAJ38cac9d5fc3a47c3911e78b3064bae66 DE-627 ger DE-627 rakwb eng QC1-999 Guang Chen verfasserin aut Numerical analysis of the effect of train length on train aerodynamic performance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The improved delayed detached eddy simulation is adopted in the present study to investigate the influence of the train length on its aerodynamic performance. The low y+ wall treatment and the cubic constitutive relation are adopted to resolve the viscous flows and model the anisotropic turbulence within the boundary layer. The analysis implied that the distribution region and intensity of velocity fluctuation are strengthened, resulting in a larger turbulence kinetic energy distribution and a higher boundary layer thickness as the train length increases. A reduction in the streamwise velocity and the negative pressure with the increasing train length on the tail train is observed, resulting in lower drag and lift coefficients. As the length of the train increases, both the mean and instantaneous slipstream velocities are increased. The boundary layer thickness and the skin friction coefficient are compared with flat plate theory, reduced-scale, and full-scale experiments, proving the ability of numerical simulation to model the boundary layer velocity profile and skin friction coefficient distribution correctly. The wake structures are identified by the Spectral Proper Orthogonal Decomposition method, the dominant mode frequency decreases, and the wavelength becomes larger as the length of the train becomes longer due to the thickening boundary layer. Physics Xiaobai Li verfasserin aut Lei Zhang verfasserin aut Xifeng Liang verfasserin aut Shi Meng verfasserin aut Dan Zhou verfasserin aut In AIP Advances AIP Publishing LLC, 2011 12(2022), 2, Seite 025201-025201-21 (DE-627)641391706 (DE-600)2583909-3 21583226 nnns volume:12 year:2022 number:2 pages:025201-025201-21 https://doi.org/10.1063/5.0079587 kostenfrei https://doaj.org/article/38cac9d5fc3a47c3911e78b3064bae66 kostenfrei http://dx.doi.org/10.1063/5.0079587 kostenfrei https://doaj.org/toc/2158-3226 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 2 025201-025201-21
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source	In AIP Advances 12(2022), 2, Seite 025201-025201-21 volume:12 year:2022 number:2 pages:025201-025201-21
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callnumber-first	Q - Science
author	Guang Chen
spellingShingle	Guang Chen misc QC1-999 misc Physics Numerical analysis of the effect of train length on train aerodynamic performance
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topic_title	QC1-999 Numerical analysis of the effect of train length on train aerodynamic performance
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title	Numerical analysis of the effect of train length on train aerodynamic performance
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title_full	Numerical analysis of the effect of train length on train aerodynamic performance
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title_sort	numerical analysis of the effect of train length on train aerodynamic performance
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title_auth	Numerical analysis of the effect of train length on train aerodynamic performance
abstract	The improved delayed detached eddy simulation is adopted in the present study to investigate the influence of the train length on its aerodynamic performance. The low y+ wall treatment and the cubic constitutive relation are adopted to resolve the viscous flows and model the anisotropic turbulence within the boundary layer. The analysis implied that the distribution region and intensity of velocity fluctuation are strengthened, resulting in a larger turbulence kinetic energy distribution and a higher boundary layer thickness as the train length increases. A reduction in the streamwise velocity and the negative pressure with the increasing train length on the tail train is observed, resulting in lower drag and lift coefficients. As the length of the train increases, both the mean and instantaneous slipstream velocities are increased. The boundary layer thickness and the skin friction coefficient are compared with flat plate theory, reduced-scale, and full-scale experiments, proving the ability of numerical simulation to model the boundary layer velocity profile and skin friction coefficient distribution correctly. The wake structures are identified by the Spectral Proper Orthogonal Decomposition method, the dominant mode frequency decreases, and the wavelength becomes larger as the length of the train becomes longer due to the thickening boundary layer.
abstractGer	The improved delayed detached eddy simulation is adopted in the present study to investigate the influence of the train length on its aerodynamic performance. The low y+ wall treatment and the cubic constitutive relation are adopted to resolve the viscous flows and model the anisotropic turbulence within the boundary layer. The analysis implied that the distribution region and intensity of velocity fluctuation are strengthened, resulting in a larger turbulence kinetic energy distribution and a higher boundary layer thickness as the train length increases. A reduction in the streamwise velocity and the negative pressure with the increasing train length on the tail train is observed, resulting in lower drag and lift coefficients. As the length of the train increases, both the mean and instantaneous slipstream velocities are increased. The boundary layer thickness and the skin friction coefficient are compared with flat plate theory, reduced-scale, and full-scale experiments, proving the ability of numerical simulation to model the boundary layer velocity profile and skin friction coefficient distribution correctly. The wake structures are identified by the Spectral Proper Orthogonal Decomposition method, the dominant mode frequency decreases, and the wavelength becomes larger as the length of the train becomes longer due to the thickening boundary layer.
abstract_unstemmed	The improved delayed detached eddy simulation is adopted in the present study to investigate the influence of the train length on its aerodynamic performance. The low y+ wall treatment and the cubic constitutive relation are adopted to resolve the viscous flows and model the anisotropic turbulence within the boundary layer. The analysis implied that the distribution region and intensity of velocity fluctuation are strengthened, resulting in a larger turbulence kinetic energy distribution and a higher boundary layer thickness as the train length increases. A reduction in the streamwise velocity and the negative pressure with the increasing train length on the tail train is observed, resulting in lower drag and lift coefficients. As the length of the train increases, both the mean and instantaneous slipstream velocities are increased. The boundary layer thickness and the skin friction coefficient are compared with flat plate theory, reduced-scale, and full-scale experiments, proving the ability of numerical simulation to model the boundary layer velocity profile and skin friction coefficient distribution correctly. The wake structures are identified by the Spectral Proper Orthogonal Decomposition method, the dominant mode frequency decreases, and the wavelength becomes larger as the length of the train becomes longer due to the thickening boundary layer.
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title_short	Numerical analysis of the effect of train length on train aerodynamic performance
url	https://doi.org/10.1063/5.0079587 https://doaj.org/article/38cac9d5fc3a47c3911e78b3064bae66 http://dx.doi.org/10.1063/5.0079587 https://doaj.org/toc/2158-3226
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Numerical analysis of the effect of train length on train aerodynamic performance

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