Direct numerical simulations of turbulent channel flow over ratchet roughness
Abstract The influence of the orientation of ratchet-type rough surfaces on their fluid dynamic roughness effect is investigated using direct numerical simulations of turbulent channel flow at %$Re_{\tau }=395%$. The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratch...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Busse, Angela [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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| Anmerkung: |
© The Author(s) 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Flow, turbulence and combustion - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947, 109(2022), 4 vom: 09. Aug., Seite 1195-1213 |
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| Übergeordnetes Werk: |
volume:109 ; year:2022 ; number:4 ; day:09 ; month:08 ; pages:1195-1213 |
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| DOI / URN: |
10.1007/s10494-022-00352-8 |
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| Katalog-ID: |
SPR048596477 |
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| 100 | 1 | |a Busse, Angela |e verfasserin |0 (orcid)0000-0002-3496-6036 |4 aut | |
| 245 | 1 | 0 | |a Direct numerical simulations of turbulent channel flow over ratchet roughness |
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| 520 | |a Abstract The influence of the orientation of ratchet-type rough surfaces on their fluid dynamic roughness effect is investigated using direct numerical simulations of turbulent channel flow at %$Re_{\tau }=395%$. The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratchet height of %$k/\delta =0.1%$ where %$\delta%$ is the mean channel half-height. The results show that both roughness function and mean flow and turbulence statistics strongly depend on the ratchet orientation. Existing empirical formulae, which estimate the roughness function %$\Delta U^+%$ or the equivalent sand-grain roughness %$k_s%$ based on surface-slope related parameters such as the effective slope or the Sigal-Danberg parameter, fail to accurately predict the differences between ratchet surfaces with high windward slopes and ratchet surfaces with high leeward slopes. | ||
| 650 | 4 | |a Turbulence |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Channel flow |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Rough walls |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Direct numerical simulation |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Zhdanov, Oleksandr |0 (orcid)0000-0002-1742-9765 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Flow, turbulence and combustion |d Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 |g 109(2022), 4 vom: 09. Aug., Seite 1195-1213 |w (DE-627)302722408 |w (DE-600)1492282-4 |x 1573-1987 |7 nnns |
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| 856 | 4 | 0 | |u https://dx.doi.org/10.1007/s10494-022-00352-8 |z kostenfrei |3 Volltext |
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10.1007/s10494-022-00352-8 doi (DE-627)SPR048596477 (SPR)s10494-022-00352-8-e DE-627 ger DE-627 rakwb eng Busse, Angela verfasserin (orcid)0000-0002-3496-6036 aut Direct numerical simulations of turbulent channel flow over ratchet roughness 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The influence of the orientation of ratchet-type rough surfaces on their fluid dynamic roughness effect is investigated using direct numerical simulations of turbulent channel flow at %$Re_{\tau }=395%$. The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratchet height of %$k/\delta =0.1%$ where %$\delta%$ is the mean channel half-height. The results show that both roughness function and mean flow and turbulence statistics strongly depend on the ratchet orientation. Existing empirical formulae, which estimate the roughness function %$\Delta U^+%$ or the equivalent sand-grain roughness %$k_s%$ based on surface-slope related parameters such as the effective slope or the Sigal-Danberg parameter, fail to accurately predict the differences between ratchet surfaces with high windward slopes and ratchet surfaces with high leeward slopes. Turbulence (dpeaa)DE-He213 Channel flow (dpeaa)DE-He213 Rough walls (dpeaa)DE-He213 Direct numerical simulation (dpeaa)DE-He213 Zhdanov, Oleksandr (orcid)0000-0002-1742-9765 aut Enthalten in Flow, turbulence and combustion Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 109(2022), 4 vom: 09. Aug., Seite 1195-1213 (DE-627)302722408 (DE-600)1492282-4 1573-1987 nnns volume:109 year:2022 number:4 day:09 month:08 pages:1195-1213 https://dx.doi.org/10.1007/s10494-022-00352-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 109 2022 4 09 08 1195-1213 |
| spelling |
10.1007/s10494-022-00352-8 doi (DE-627)SPR048596477 (SPR)s10494-022-00352-8-e DE-627 ger DE-627 rakwb eng Busse, Angela verfasserin (orcid)0000-0002-3496-6036 aut Direct numerical simulations of turbulent channel flow over ratchet roughness 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The influence of the orientation of ratchet-type rough surfaces on their fluid dynamic roughness effect is investigated using direct numerical simulations of turbulent channel flow at %$Re_{\tau }=395%$. The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratchet height of %$k/\delta =0.1%$ where %$\delta%$ is the mean channel half-height. The results show that both roughness function and mean flow and turbulence statistics strongly depend on the ratchet orientation. Existing empirical formulae, which estimate the roughness function %$\Delta U^+%$ or the equivalent sand-grain roughness %$k_s%$ based on surface-slope related parameters such as the effective slope or the Sigal-Danberg parameter, fail to accurately predict the differences between ratchet surfaces with high windward slopes and ratchet surfaces with high leeward slopes. Turbulence (dpeaa)DE-He213 Channel flow (dpeaa)DE-He213 Rough walls (dpeaa)DE-He213 Direct numerical simulation (dpeaa)DE-He213 Zhdanov, Oleksandr (orcid)0000-0002-1742-9765 aut Enthalten in Flow, turbulence and combustion Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 109(2022), 4 vom: 09. Aug., Seite 1195-1213 (DE-627)302722408 (DE-600)1492282-4 1573-1987 nnns volume:109 year:2022 number:4 day:09 month:08 pages:1195-1213 https://dx.doi.org/10.1007/s10494-022-00352-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 109 2022 4 09 08 1195-1213 |
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10.1007/s10494-022-00352-8 doi (DE-627)SPR048596477 (SPR)s10494-022-00352-8-e DE-627 ger DE-627 rakwb eng Busse, Angela verfasserin (orcid)0000-0002-3496-6036 aut Direct numerical simulations of turbulent channel flow over ratchet roughness 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The influence of the orientation of ratchet-type rough surfaces on their fluid dynamic roughness effect is investigated using direct numerical simulations of turbulent channel flow at %$Re_{\tau }=395%$. The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratchet height of %$k/\delta =0.1%$ where %$\delta%$ is the mean channel half-height. The results show that both roughness function and mean flow and turbulence statistics strongly depend on the ratchet orientation. Existing empirical formulae, which estimate the roughness function %$\Delta U^+%$ or the equivalent sand-grain roughness %$k_s%$ based on surface-slope related parameters such as the effective slope or the Sigal-Danberg parameter, fail to accurately predict the differences between ratchet surfaces with high windward slopes and ratchet surfaces with high leeward slopes. Turbulence (dpeaa)DE-He213 Channel flow (dpeaa)DE-He213 Rough walls (dpeaa)DE-He213 Direct numerical simulation (dpeaa)DE-He213 Zhdanov, Oleksandr (orcid)0000-0002-1742-9765 aut Enthalten in Flow, turbulence and combustion Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 109(2022), 4 vom: 09. Aug., Seite 1195-1213 (DE-627)302722408 (DE-600)1492282-4 1573-1987 nnns volume:109 year:2022 number:4 day:09 month:08 pages:1195-1213 https://dx.doi.org/10.1007/s10494-022-00352-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 109 2022 4 09 08 1195-1213 |
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10.1007/s10494-022-00352-8 doi (DE-627)SPR048596477 (SPR)s10494-022-00352-8-e DE-627 ger DE-627 rakwb eng Busse, Angela verfasserin (orcid)0000-0002-3496-6036 aut Direct numerical simulations of turbulent channel flow over ratchet roughness 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The influence of the orientation of ratchet-type rough surfaces on their fluid dynamic roughness effect is investigated using direct numerical simulations of turbulent channel flow at %$Re_{\tau }=395%$. The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratchet height of %$k/\delta =0.1%$ where %$\delta%$ is the mean channel half-height. The results show that both roughness function and mean flow and turbulence statistics strongly depend on the ratchet orientation. Existing empirical formulae, which estimate the roughness function %$\Delta U^+%$ or the equivalent sand-grain roughness %$k_s%$ based on surface-slope related parameters such as the effective slope or the Sigal-Danberg parameter, fail to accurately predict the differences between ratchet surfaces with high windward slopes and ratchet surfaces with high leeward slopes. Turbulence (dpeaa)DE-He213 Channel flow (dpeaa)DE-He213 Rough walls (dpeaa)DE-He213 Direct numerical simulation (dpeaa)DE-He213 Zhdanov, Oleksandr (orcid)0000-0002-1742-9765 aut Enthalten in Flow, turbulence and combustion Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 109(2022), 4 vom: 09. Aug., Seite 1195-1213 (DE-627)302722408 (DE-600)1492282-4 1573-1987 nnns volume:109 year:2022 number:4 day:09 month:08 pages:1195-1213 https://dx.doi.org/10.1007/s10494-022-00352-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 109 2022 4 09 08 1195-1213 |
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10.1007/s10494-022-00352-8 doi (DE-627)SPR048596477 (SPR)s10494-022-00352-8-e DE-627 ger DE-627 rakwb eng Busse, Angela verfasserin (orcid)0000-0002-3496-6036 aut Direct numerical simulations of turbulent channel flow over ratchet roughness 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract The influence of the orientation of ratchet-type rough surfaces on their fluid dynamic roughness effect is investigated using direct numerical simulations of turbulent channel flow at %$Re_{\tau }=395%$. The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratchet height of %$k/\delta =0.1%$ where %$\delta%$ is the mean channel half-height. The results show that both roughness function and mean flow and turbulence statistics strongly depend on the ratchet orientation. Existing empirical formulae, which estimate the roughness function %$\Delta U^+%$ or the equivalent sand-grain roughness %$k_s%$ based on surface-slope related parameters such as the effective slope or the Sigal-Danberg parameter, fail to accurately predict the differences between ratchet surfaces with high windward slopes and ratchet surfaces with high leeward slopes. Turbulence (dpeaa)DE-He213 Channel flow (dpeaa)DE-He213 Rough walls (dpeaa)DE-He213 Direct numerical simulation (dpeaa)DE-He213 Zhdanov, Oleksandr (orcid)0000-0002-1742-9765 aut Enthalten in Flow, turbulence and combustion Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 109(2022), 4 vom: 09. Aug., Seite 1195-1213 (DE-627)302722408 (DE-600)1492282-4 1573-1987 nnns volume:109 year:2022 number:4 day:09 month:08 pages:1195-1213 https://dx.doi.org/10.1007/s10494-022-00352-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 109 2022 4 09 08 1195-1213 |
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Enthalten in Flow, turbulence and combustion 109(2022), 4 vom: 09. Aug., Seite 1195-1213 volume:109 year:2022 number:4 day:09 month:08 pages:1195-1213 |
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Enthalten in Flow, turbulence and combustion 109(2022), 4 vom: 09. Aug., Seite 1195-1213 volume:109 year:2022 number:4 day:09 month:08 pages:1195-1213 |
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Flow, turbulence and combustion |
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Busse, Angela @@aut@@ Zhdanov, Oleksandr @@aut@@ |
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Busse, Angela |
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Busse, Angela misc Turbulence misc Channel flow misc Rough walls misc Direct numerical simulation Direct numerical simulations of turbulent channel flow over ratchet roughness |
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Direct numerical simulations of turbulent channel flow over ratchet roughness Turbulence (dpeaa)DE-He213 Channel flow (dpeaa)DE-He213 Rough walls (dpeaa)DE-He213 Direct numerical simulation (dpeaa)DE-He213 |
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Direct numerical simulations of turbulent channel flow over ratchet roughness |
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Direct numerical simulations of turbulent channel flow over ratchet roughness |
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Busse, Angela |
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Flow, turbulence and combustion |
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direct numerical simulations of turbulent channel flow over ratchet roughness |
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Direct numerical simulations of turbulent channel flow over ratchet roughness |
| abstract |
Abstract The influence of the orientation of ratchet-type rough surfaces on their fluid dynamic roughness effect is investigated using direct numerical simulations of turbulent channel flow at %$Re_{\tau }=395%$. The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratchet height of %$k/\delta =0.1%$ where %$\delta%$ is the mean channel half-height. The results show that both roughness function and mean flow and turbulence statistics strongly depend on the ratchet orientation. Existing empirical formulae, which estimate the roughness function %$\Delta U^+%$ or the equivalent sand-grain roughness %$k_s%$ based on surface-slope related parameters such as the effective slope or the Sigal-Danberg parameter, fail to accurately predict the differences between ratchet surfaces with high windward slopes and ratchet surfaces with high leeward slopes. © The Author(s) 2022 |
| abstractGer |
Abstract The influence of the orientation of ratchet-type rough surfaces on their fluid dynamic roughness effect is investigated using direct numerical simulations of turbulent channel flow at %$Re_{\tau }=395%$. The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratchet height of %$k/\delta =0.1%$ where %$\delta%$ is the mean channel half-height. The results show that both roughness function and mean flow and turbulence statistics strongly depend on the ratchet orientation. Existing empirical formulae, which estimate the roughness function %$\Delta U^+%$ or the equivalent sand-grain roughness %$k_s%$ based on surface-slope related parameters such as the effective slope or the Sigal-Danberg parameter, fail to accurately predict the differences between ratchet surfaces with high windward slopes and ratchet surfaces with high leeward slopes. © The Author(s) 2022 |
| abstract_unstemmed |
Abstract The influence of the orientation of ratchet-type rough surfaces on their fluid dynamic roughness effect is investigated using direct numerical simulations of turbulent channel flow at %$Re_{\tau }=395%$. The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratchet height of %$k/\delta =0.1%$ where %$\delta%$ is the mean channel half-height. The results show that both roughness function and mean flow and turbulence statistics strongly depend on the ratchet orientation. Existing empirical formulae, which estimate the roughness function %$\Delta U^+%$ or the equivalent sand-grain roughness %$k_s%$ based on surface-slope related parameters such as the effective slope or the Sigal-Danberg parameter, fail to accurately predict the differences between ratchet surfaces with high windward slopes and ratchet surfaces with high leeward slopes. © The Author(s) 2022 |
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Direct numerical simulations of turbulent channel flow over ratchet roughness |
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2024-07-03T20:15:18.632Z |
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The ratchet length-to-height ratio is varied from %$\ell /k=2%$ to 16 for a fixed ratchet height of %$k/\delta =0.1%$ where %$\delta%$ is the mean channel half-height. The results show that both roughness function and mean flow and turbulence statistics strongly depend on the ratchet orientation. Existing empirical formulae, which estimate the roughness function %$\Delta U^+%$ or the equivalent sand-grain roughness %$k_s%$ based on surface-slope related parameters such as the effective slope or the Sigal-Danberg parameter, fail to accurately predict the differences between ratchet surfaces with high windward slopes and ratchet surfaces with high leeward slopes.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Turbulence</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Channel flow</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Rough walls</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Direct numerical simulation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhdanov, Oleksandr</subfield><subfield code="0">(orcid)0000-0002-1742-9765</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Flow, turbulence and combustion</subfield><subfield code="d">Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947</subfield><subfield code="g">109(2022), 4 vom: 09. 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