A dynamic particle scale-driven interphase force model for water-sand two-phase flow in hydraulic machinery and systems
• A new dynamic particle scale-driven interphase force model for water-sand two-phase flow is proposed. • The newly developed TSD model is introduced to extend the resolution scale of rotating turbulence. • The turbulence and wall factors are determined to reflect the gain effects on the drag force....
Ausführliche Beschreibung
Autor*in: |
Wang, Chaoyue [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: COMORBID MILD COGNITIVE IMPAIRMENT AND DEPRESSIVE SYMPTOMS PREDICT FUTURE DEMENTIA IN COMMUNITY OLDER ADULTS: A 24-MONTH FOLLOW-UP LONGITUDINAL STUDY - Makizako, Hyuma ELSEVIER, 2016, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:95 ; year:2022 ; pages:0 |
Links: |
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DOI / URN: |
10.1016/j.ijheatfluidflow.2022.108974 |
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10.1016/j.ijheatfluidflow.2022.108974 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001804.pica (DE-627)ELV057598177 (ELSEVIER)S0142-727X(22)00049-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 52.56 bkl Wang, Chaoyue verfasserin aut A dynamic particle scale-driven interphase force model for water-sand two-phase flow in hydraulic machinery and systems 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A new dynamic particle scale-driven interphase force model for water-sand two-phase flow is proposed. • The newly developed TSD model is introduced to extend the resolution scale of rotating turbulence. • The turbulence and wall factors are determined to reflect the gain effects on the drag force. • The turbulent dispersion force model is established to characterize the diffusion behavior of heavy particles. • Efficient engineering computations of sediment-laden flows in hydraulic machinery can be achieved. Hybrid URANS/LES model Elsevier Hydraulic machinery and systems Elsevier Drag force Elsevier Engineering computation Elsevier Water–sand two-phase flow Elsevier Turbulent dispersion force Elsevier Wang, Fujun oth Chen, Wenhao oth He, Qingru oth Chen, Xin oth Zhang, Zichao oth Enthalten in Elsevier Science Makizako, Hyuma ELSEVIER COMORBID MILD COGNITIVE IMPAIRMENT AND DEPRESSIVE SYMPTOMS PREDICT FUTURE DEMENTIA IN COMMUNITY OLDER ADULTS: A 24-MONTH FOLLOW-UP LONGITUDINAL STUDY 2016 Amsterdam [u.a.] (DE-627)ELV013777092 volume:95 year:2022 pages:0 https://doi.org/10.1016/j.ijheatfluidflow.2022.108974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_24 GBV_ILN_40 52.56 Regenerative Energieformen alternative Energieformen VZ AR 95 2022 0 |
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10.1016/j.ijheatfluidflow.2022.108974 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001804.pica (DE-627)ELV057598177 (ELSEVIER)S0142-727X(22)00049-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 52.56 bkl Wang, Chaoyue verfasserin aut A dynamic particle scale-driven interphase force model for water-sand two-phase flow in hydraulic machinery and systems 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A new dynamic particle scale-driven interphase force model for water-sand two-phase flow is proposed. • The newly developed TSD model is introduced to extend the resolution scale of rotating turbulence. • The turbulence and wall factors are determined to reflect the gain effects on the drag force. • The turbulent dispersion force model is established to characterize the diffusion behavior of heavy particles. • Efficient engineering computations of sediment-laden flows in hydraulic machinery can be achieved. Hybrid URANS/LES model Elsevier Hydraulic machinery and systems Elsevier Drag force Elsevier Engineering computation Elsevier Water–sand two-phase flow Elsevier Turbulent dispersion force Elsevier Wang, Fujun oth Chen, Wenhao oth He, Qingru oth Chen, Xin oth Zhang, Zichao oth Enthalten in Elsevier Science Makizako, Hyuma ELSEVIER COMORBID MILD COGNITIVE IMPAIRMENT AND DEPRESSIVE SYMPTOMS PREDICT FUTURE DEMENTIA IN COMMUNITY OLDER ADULTS: A 24-MONTH FOLLOW-UP LONGITUDINAL STUDY 2016 Amsterdam [u.a.] (DE-627)ELV013777092 volume:95 year:2022 pages:0 https://doi.org/10.1016/j.ijheatfluidflow.2022.108974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_24 GBV_ILN_40 52.56 Regenerative Energieformen alternative Energieformen VZ AR 95 2022 0 |
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10.1016/j.ijheatfluidflow.2022.108974 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001804.pica (DE-627)ELV057598177 (ELSEVIER)S0142-727X(22)00049-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 52.56 bkl Wang, Chaoyue verfasserin aut A dynamic particle scale-driven interphase force model for water-sand two-phase flow in hydraulic machinery and systems 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A new dynamic particle scale-driven interphase force model for water-sand two-phase flow is proposed. • The newly developed TSD model is introduced to extend the resolution scale of rotating turbulence. • The turbulence and wall factors are determined to reflect the gain effects on the drag force. • The turbulent dispersion force model is established to characterize the diffusion behavior of heavy particles. • Efficient engineering computations of sediment-laden flows in hydraulic machinery can be achieved. Hybrid URANS/LES model Elsevier Hydraulic machinery and systems Elsevier Drag force Elsevier Engineering computation Elsevier Water–sand two-phase flow Elsevier Turbulent dispersion force Elsevier Wang, Fujun oth Chen, Wenhao oth He, Qingru oth Chen, Xin oth Zhang, Zichao oth Enthalten in Elsevier Science Makizako, Hyuma ELSEVIER COMORBID MILD COGNITIVE IMPAIRMENT AND DEPRESSIVE SYMPTOMS PREDICT FUTURE DEMENTIA IN COMMUNITY OLDER ADULTS: A 24-MONTH FOLLOW-UP LONGITUDINAL STUDY 2016 Amsterdam [u.a.] (DE-627)ELV013777092 volume:95 year:2022 pages:0 https://doi.org/10.1016/j.ijheatfluidflow.2022.108974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_24 GBV_ILN_40 52.56 Regenerative Energieformen alternative Energieformen VZ AR 95 2022 0 |
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A dynamic particle scale-driven interphase force model for water-sand two-phase flow in hydraulic machinery and systems |
abstract |
• A new dynamic particle scale-driven interphase force model for water-sand two-phase flow is proposed. • The newly developed TSD model is introduced to extend the resolution scale of rotating turbulence. • The turbulence and wall factors are determined to reflect the gain effects on the drag force. • The turbulent dispersion force model is established to characterize the diffusion behavior of heavy particles. • Efficient engineering computations of sediment-laden flows in hydraulic machinery can be achieved. |
abstractGer |
• A new dynamic particle scale-driven interphase force model for water-sand two-phase flow is proposed. • The newly developed TSD model is introduced to extend the resolution scale of rotating turbulence. • The turbulence and wall factors are determined to reflect the gain effects on the drag force. • The turbulent dispersion force model is established to characterize the diffusion behavior of heavy particles. • Efficient engineering computations of sediment-laden flows in hydraulic machinery can be achieved. |
abstract_unstemmed |
• A new dynamic particle scale-driven interphase force model for water-sand two-phase flow is proposed. • The newly developed TSD model is introduced to extend the resolution scale of rotating turbulence. • The turbulence and wall factors are determined to reflect the gain effects on the drag force. • The turbulent dispersion force model is established to characterize the diffusion behavior of heavy particles. • Efficient engineering computations of sediment-laden flows in hydraulic machinery can be achieved. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_24 GBV_ILN_40 |
title_short |
A dynamic particle scale-driven interphase force model for water-sand two-phase flow in hydraulic machinery and systems |
url |
https://doi.org/10.1016/j.ijheatfluidflow.2022.108974 |
remote_bool |
true |
author2 |
Wang, Fujun Chen, Wenhao He, Qingru Chen, Xin Zhang, Zichao |
author2Str |
Wang, Fujun Chen, Wenhao He, Qingru Chen, Xin Zhang, Zichao |
ppnlink |
ELV013777092 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth oth oth |
doi_str |
10.1016/j.ijheatfluidflow.2022.108974 |
up_date |
2024-07-06T16:36:25.635Z |
_version_ |
1803848290807054336 |
fullrecord_marcxml |
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