Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression

Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although su...
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Autor*in:	De Cachinho Cordeiro, Ivan Miguel [verfasserIn] Liu, Hengrui Yuen, Anthony Chun Yin Chen, Timothy Bo Yuan Li, Ao Yeoh, Guan Heng

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	expandable graphite subgrid-scale model (SGS) discrete phase model (DPM) computational fluid dynamics coupled with discrete element model (CFD-DEM)

Anmerkung:	© Tsinghua University Press 2021

Übergeordnetes Werk:	Enthalten in: Experimental and computational multiphase flow - [Singapore] : Springer Singapore, 2019, 5(2021), 1 vom: 23. Juli, Seite 99-110
Übergeordnetes Werk:	volume:5 ; year:2021 ; number:1 ; day:23 ; month:07 ; pages:99-110

Links:	Volltext

DOI / URN:	10.1007/s42757-021-0112-8

Katalog-ID:	SPR048391972

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245	1	0	\|a Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression
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520			\|a Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although suppression behaviours between hydrocarbon-fuelled fire and water-based suppression agents were extensively studied both numerically and experimentally, lack of numerical studies was conducted on fires involving water-reactive chemicals (i.e., Na, Li, and LiH), where extinguishment is barely performed by water-based active suppression system, as violent and explosive decomposition occurred between water and reactive fuel. In this research, a numerical investigation has been conducted on expandable graphite (EG) application for water-reactive fire suppression. Based on the discrete phase model (DPM) framework, a novel EG particle model is proposed to characterise the particle expansion that couples with superior thermal properties and chemical stability. A numerical assessment on large eddy simulation (LES) has been performed to study the temporal fire behaviours and the suppression effect of EG against the flame plume in various subgrid-scale (SGS) models. Four SGS models were adopted, which were namely Smagorinsky-Lilly, WALE, dynamic kinetic energy, and dynamic Smagorinsky-Lilly. As a result, the WALE SGS model was observed to be in a better agreement compared with the experimental data owing to its significant enhancement in flow diffusivity modelling. The WALE SGS model has achieved a more accurate temperature prediction and finer resolved turbulence compared with other SGS models.
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700	1		\|a Liu, Hengrui \|4 aut
700	1		\|a Yuen, Anthony Chun Yin \|4 aut
700	1		\|a Chen, Timothy Bo Yuan \|4 aut
700	1		\|a Li, Ao \|4 aut
700	1		\|a Yeoh, Guan Heng \|4 aut
773	0	8	\|i Enthalten in \|t Experimental and computational multiphase flow \|d [Singapore] : Springer Singapore, 2019 \|g 5(2021), 1 vom: 23. Juli, Seite 99-110 \|w (DE-627)1663535302 \|w (DE-600)2970193-4 \|x 2661-8877 \|7 nnns
773	1	8	\|g volume:5 \|g year:2021 \|g number:1 \|g day:23 \|g month:07 \|g pages:99-110
856	4	0	\|u https://dx.doi.org/10.1007/s42757-021-0112-8 \|z lizenzpflichtig \|3 Volltext
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912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_138
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
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912			\|a GBV_ILN_4249
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912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
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912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4336
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allfields	10.1007/s42757-021-0112-8 doi (DE-627)SPR048391972 (SPR)s42757-021-0112-8-e DE-627 ger DE-627 rakwb eng De Cachinho Cordeiro, Ivan Miguel verfasserin aut Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2021 Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although suppression behaviours between hydrocarbon-fuelled fire and water-based suppression agents were extensively studied both numerically and experimentally, lack of numerical studies was conducted on fires involving water-reactive chemicals (i.e., Na, Li, and LiH), where extinguishment is barely performed by water-based active suppression system, as violent and explosive decomposition occurred between water and reactive fuel. In this research, a numerical investigation has been conducted on expandable graphite (EG) application for water-reactive fire suppression. Based on the discrete phase model (DPM) framework, a novel EG particle model is proposed to characterise the particle expansion that couples with superior thermal properties and chemical stability. A numerical assessment on large eddy simulation (LES) has been performed to study the temporal fire behaviours and the suppression effect of EG against the flame plume in various subgrid-scale (SGS) models. Four SGS models were adopted, which were namely Smagorinsky-Lilly, WALE, dynamic kinetic energy, and dynamic Smagorinsky-Lilly. As a result, the WALE SGS model was observed to be in a better agreement compared with the experimental data owing to its significant enhancement in flow diffusivity modelling. The WALE SGS model has achieved a more accurate temperature prediction and finer resolved turbulence compared with other SGS models. expandable graphite (dpeaa)DE-He213 subgrid-scale model (SGS) (dpeaa)DE-He213 discrete phase model (DPM) (dpeaa)DE-He213 computational fluid dynamics coupled with discrete element model (dpeaa)DE-He213 (CFD-DEM) (dpeaa)DE-He213 Liu, Hengrui aut Yuen, Anthony Chun Yin aut Chen, Timothy Bo Yuan aut Li, Ao aut Yeoh, Guan Heng aut Enthalten in Experimental and computational multiphase flow [Singapore] : Springer Singapore, 2019 5(2021), 1 vom: 23. Juli, Seite 99-110 (DE-627)1663535302 (DE-600)2970193-4 2661-8877 nnns volume:5 year:2021 number:1 day:23 month:07 pages:99-110 https://dx.doi.org/10.1007/s42757-021-0112-8 lizenzpflichtig 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_65 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_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_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 5 2021 1 23 07 99-110
spelling	10.1007/s42757-021-0112-8 doi (DE-627)SPR048391972 (SPR)s42757-021-0112-8-e DE-627 ger DE-627 rakwb eng De Cachinho Cordeiro, Ivan Miguel verfasserin aut Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2021 Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although suppression behaviours between hydrocarbon-fuelled fire and water-based suppression agents were extensively studied both numerically and experimentally, lack of numerical studies was conducted on fires involving water-reactive chemicals (i.e., Na, Li, and LiH), where extinguishment is barely performed by water-based active suppression system, as violent and explosive decomposition occurred between water and reactive fuel. In this research, a numerical investigation has been conducted on expandable graphite (EG) application for water-reactive fire suppression. Based on the discrete phase model (DPM) framework, a novel EG particle model is proposed to characterise the particle expansion that couples with superior thermal properties and chemical stability. A numerical assessment on large eddy simulation (LES) has been performed to study the temporal fire behaviours and the suppression effect of EG against the flame plume in various subgrid-scale (SGS) models. Four SGS models were adopted, which were namely Smagorinsky-Lilly, WALE, dynamic kinetic energy, and dynamic Smagorinsky-Lilly. As a result, the WALE SGS model was observed to be in a better agreement compared with the experimental data owing to its significant enhancement in flow diffusivity modelling. The WALE SGS model has achieved a more accurate temperature prediction and finer resolved turbulence compared with other SGS models. expandable graphite (dpeaa)DE-He213 subgrid-scale model (SGS) (dpeaa)DE-He213 discrete phase model (DPM) (dpeaa)DE-He213 computational fluid dynamics coupled with discrete element model (dpeaa)DE-He213 (CFD-DEM) (dpeaa)DE-He213 Liu, Hengrui aut Yuen, Anthony Chun Yin aut Chen, Timothy Bo Yuan aut Li, Ao aut Yeoh, Guan Heng aut Enthalten in Experimental and computational multiphase flow [Singapore] : Springer Singapore, 2019 5(2021), 1 vom: 23. Juli, Seite 99-110 (DE-627)1663535302 (DE-600)2970193-4 2661-8877 nnns volume:5 year:2021 number:1 day:23 month:07 pages:99-110 https://dx.doi.org/10.1007/s42757-021-0112-8 lizenzpflichtig 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_65 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_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_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 5 2021 1 23 07 99-110
allfields_unstemmed	10.1007/s42757-021-0112-8 doi (DE-627)SPR048391972 (SPR)s42757-021-0112-8-e DE-627 ger DE-627 rakwb eng De Cachinho Cordeiro, Ivan Miguel verfasserin aut Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2021 Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although suppression behaviours between hydrocarbon-fuelled fire and water-based suppression agents were extensively studied both numerically and experimentally, lack of numerical studies was conducted on fires involving water-reactive chemicals (i.e., Na, Li, and LiH), where extinguishment is barely performed by water-based active suppression system, as violent and explosive decomposition occurred between water and reactive fuel. In this research, a numerical investigation has been conducted on expandable graphite (EG) application for water-reactive fire suppression. Based on the discrete phase model (DPM) framework, a novel EG particle model is proposed to characterise the particle expansion that couples with superior thermal properties and chemical stability. A numerical assessment on large eddy simulation (LES) has been performed to study the temporal fire behaviours and the suppression effect of EG against the flame plume in various subgrid-scale (SGS) models. Four SGS models were adopted, which were namely Smagorinsky-Lilly, WALE, dynamic kinetic energy, and dynamic Smagorinsky-Lilly. As a result, the WALE SGS model was observed to be in a better agreement compared with the experimental data owing to its significant enhancement in flow diffusivity modelling. The WALE SGS model has achieved a more accurate temperature prediction and finer resolved turbulence compared with other SGS models. expandable graphite (dpeaa)DE-He213 subgrid-scale model (SGS) (dpeaa)DE-He213 discrete phase model (DPM) (dpeaa)DE-He213 computational fluid dynamics coupled with discrete element model (dpeaa)DE-He213 (CFD-DEM) (dpeaa)DE-He213 Liu, Hengrui aut Yuen, Anthony Chun Yin aut Chen, Timothy Bo Yuan aut Li, Ao aut Yeoh, Guan Heng aut Enthalten in Experimental and computational multiphase flow [Singapore] : Springer Singapore, 2019 5(2021), 1 vom: 23. Juli, Seite 99-110 (DE-627)1663535302 (DE-600)2970193-4 2661-8877 nnns volume:5 year:2021 number:1 day:23 month:07 pages:99-110 https://dx.doi.org/10.1007/s42757-021-0112-8 lizenzpflichtig 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_65 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_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_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 5 2021 1 23 07 99-110
allfieldsGer	10.1007/s42757-021-0112-8 doi (DE-627)SPR048391972 (SPR)s42757-021-0112-8-e DE-627 ger DE-627 rakwb eng De Cachinho Cordeiro, Ivan Miguel verfasserin aut Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2021 Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although suppression behaviours between hydrocarbon-fuelled fire and water-based suppression agents were extensively studied both numerically and experimentally, lack of numerical studies was conducted on fires involving water-reactive chemicals (i.e., Na, Li, and LiH), where extinguishment is barely performed by water-based active suppression system, as violent and explosive decomposition occurred between water and reactive fuel. In this research, a numerical investigation has been conducted on expandable graphite (EG) application for water-reactive fire suppression. Based on the discrete phase model (DPM) framework, a novel EG particle model is proposed to characterise the particle expansion that couples with superior thermal properties and chemical stability. A numerical assessment on large eddy simulation (LES) has been performed to study the temporal fire behaviours and the suppression effect of EG against the flame plume in various subgrid-scale (SGS) models. Four SGS models were adopted, which were namely Smagorinsky-Lilly, WALE, dynamic kinetic energy, and dynamic Smagorinsky-Lilly. As a result, the WALE SGS model was observed to be in a better agreement compared with the experimental data owing to its significant enhancement in flow diffusivity modelling. The WALE SGS model has achieved a more accurate temperature prediction and finer resolved turbulence compared with other SGS models. expandable graphite (dpeaa)DE-He213 subgrid-scale model (SGS) (dpeaa)DE-He213 discrete phase model (DPM) (dpeaa)DE-He213 computational fluid dynamics coupled with discrete element model (dpeaa)DE-He213 (CFD-DEM) (dpeaa)DE-He213 Liu, Hengrui aut Yuen, Anthony Chun Yin aut Chen, Timothy Bo Yuan aut Li, Ao aut Yeoh, Guan Heng aut Enthalten in Experimental and computational multiphase flow [Singapore] : Springer Singapore, 2019 5(2021), 1 vom: 23. Juli, Seite 99-110 (DE-627)1663535302 (DE-600)2970193-4 2661-8877 nnns volume:5 year:2021 number:1 day:23 month:07 pages:99-110 https://dx.doi.org/10.1007/s42757-021-0112-8 lizenzpflichtig 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_65 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_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_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 5 2021 1 23 07 99-110
allfieldsSound	10.1007/s42757-021-0112-8 doi (DE-627)SPR048391972 (SPR)s42757-021-0112-8-e DE-627 ger DE-627 rakwb eng De Cachinho Cordeiro, Ivan Miguel verfasserin aut Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2021 Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although suppression behaviours between hydrocarbon-fuelled fire and water-based suppression agents were extensively studied both numerically and experimentally, lack of numerical studies was conducted on fires involving water-reactive chemicals (i.e., Na, Li, and LiH), where extinguishment is barely performed by water-based active suppression system, as violent and explosive decomposition occurred between water and reactive fuel. In this research, a numerical investigation has been conducted on expandable graphite (EG) application for water-reactive fire suppression. Based on the discrete phase model (DPM) framework, a novel EG particle model is proposed to characterise the particle expansion that couples with superior thermal properties and chemical stability. A numerical assessment on large eddy simulation (LES) has been performed to study the temporal fire behaviours and the suppression effect of EG against the flame plume in various subgrid-scale (SGS) models. Four SGS models were adopted, which were namely Smagorinsky-Lilly, WALE, dynamic kinetic energy, and dynamic Smagorinsky-Lilly. As a result, the WALE SGS model was observed to be in a better agreement compared with the experimental data owing to its significant enhancement in flow diffusivity modelling. The WALE SGS model has achieved a more accurate temperature prediction and finer resolved turbulence compared with other SGS models. expandable graphite (dpeaa)DE-He213 subgrid-scale model (SGS) (dpeaa)DE-He213 discrete phase model (DPM) (dpeaa)DE-He213 computational fluid dynamics coupled with discrete element model (dpeaa)DE-He213 (CFD-DEM) (dpeaa)DE-He213 Liu, Hengrui aut Yuen, Anthony Chun Yin aut Chen, Timothy Bo Yuan aut Li, Ao aut Yeoh, Guan Heng aut Enthalten in Experimental and computational multiphase flow [Singapore] : Springer Singapore, 2019 5(2021), 1 vom: 23. Juli, Seite 99-110 (DE-627)1663535302 (DE-600)2970193-4 2661-8877 nnns volume:5 year:2021 number:1 day:23 month:07 pages:99-110 https://dx.doi.org/10.1007/s42757-021-0112-8 lizenzpflichtig 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_65 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_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_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 5 2021 1 23 07 99-110
language	English
source	Enthalten in Experimental and computational multiphase flow 5(2021), 1 vom: 23. Juli, Seite 99-110 volume:5 year:2021 number:1 day:23 month:07 pages:99-110
sourceStr	Enthalten in Experimental and computational multiphase flow 5(2021), 1 vom: 23. Juli, Seite 99-110 volume:5 year:2021 number:1 day:23 month:07 pages:99-110
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	expandable graphite subgrid-scale model (SGS) discrete phase model (DPM) computational fluid dynamics coupled with discrete element model (CFD-DEM)
isfreeaccess_bool	false
container_title	Experimental and computational multiphase flow
authorswithroles_txt_mv	De Cachinho Cordeiro, Ivan Miguel @@aut@@ Liu, Hengrui @@aut@@ Yuen, Anthony Chun Yin @@aut@@ Chen, Timothy Bo Yuan @@aut@@ Li, Ao @@aut@@ Yeoh, Guan Heng @@aut@@
publishDateDaySort_date	2021-07-23T00:00:00Z
hierarchy_top_id	1663535302
id	SPR048391972
language_de	englisch
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author	De Cachinho Cordeiro, Ivan Miguel
spellingShingle	De Cachinho Cordeiro, Ivan Miguel misc expandable graphite misc subgrid-scale model (SGS) misc discrete phase model (DPM) misc computational fluid dynamics coupled with discrete element model misc (CFD-DEM) Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression
authorStr	De Cachinho Cordeiro, Ivan Miguel
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topic_title	Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression expandable graphite (dpeaa)DE-He213 subgrid-scale model (SGS) (dpeaa)DE-He213 discrete phase model (DPM) (dpeaa)DE-He213 computational fluid dynamics coupled with discrete element model (dpeaa)DE-He213 (CFD-DEM) (dpeaa)DE-He213
topic	misc expandable graphite misc subgrid-scale model (SGS) misc discrete phase model (DPM) misc computational fluid dynamics coupled with discrete element model misc (CFD-DEM)
topic_unstemmed	misc expandable graphite misc subgrid-scale model (SGS) misc discrete phase model (DPM) misc computational fluid dynamics coupled with discrete element model misc (CFD-DEM)
topic_browse	misc expandable graphite misc subgrid-scale model (SGS) misc discrete phase model (DPM) misc computational fluid dynamics coupled with discrete element model misc (CFD-DEM)
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title	Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression
ctrlnum	(DE-627)SPR048391972 (SPR)s42757-021-0112-8-e
title_full	Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression
author_sort	De Cachinho Cordeiro, Ivan Miguel
journal	Experimental and computational multiphase flow
journalStr	Experimental and computational multiphase flow
lang_code	eng
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author_browse	De Cachinho Cordeiro, Ivan Miguel Liu, Hengrui Yuen, Anthony Chun Yin Chen, Timothy Bo Yuan Li, Ao Yeoh, Guan Heng
container_volume	5
format_se	Elektronische Aufsätze
author-letter	De Cachinho Cordeiro, Ivan Miguel
doi_str_mv	10.1007/s42757-021-0112-8
title_sort	numerical assessment of les subgrid-scale turbulence models for expandable particles in fire suppression
title_auth	Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression
abstract	Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although suppression behaviours between hydrocarbon-fuelled fire and water-based suppression agents were extensively studied both numerically and experimentally, lack of numerical studies was conducted on fires involving water-reactive chemicals (i.e., Na, Li, and LiH), where extinguishment is barely performed by water-based active suppression system, as violent and explosive decomposition occurred between water and reactive fuel. In this research, a numerical investigation has been conducted on expandable graphite (EG) application for water-reactive fire suppression. Based on the discrete phase model (DPM) framework, a novel EG particle model is proposed to characterise the particle expansion that couples with superior thermal properties and chemical stability. A numerical assessment on large eddy simulation (LES) has been performed to study the temporal fire behaviours and the suppression effect of EG against the flame plume in various subgrid-scale (SGS) models. Four SGS models were adopted, which were namely Smagorinsky-Lilly, WALE, dynamic kinetic energy, and dynamic Smagorinsky-Lilly. As a result, the WALE SGS model was observed to be in a better agreement compared with the experimental data owing to its significant enhancement in flow diffusivity modelling. The WALE SGS model has achieved a more accurate temperature prediction and finer resolved turbulence compared with other SGS models. © Tsinghua University Press 2021
abstractGer	Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although suppression behaviours between hydrocarbon-fuelled fire and water-based suppression agents were extensively studied both numerically and experimentally, lack of numerical studies was conducted on fires involving water-reactive chemicals (i.e., Na, Li, and LiH), where extinguishment is barely performed by water-based active suppression system, as violent and explosive decomposition occurred between water and reactive fuel. In this research, a numerical investigation has been conducted on expandable graphite (EG) application for water-reactive fire suppression. Based on the discrete phase model (DPM) framework, a novel EG particle model is proposed to characterise the particle expansion that couples with superior thermal properties and chemical stability. A numerical assessment on large eddy simulation (LES) has been performed to study the temporal fire behaviours and the suppression effect of EG against the flame plume in various subgrid-scale (SGS) models. Four SGS models were adopted, which were namely Smagorinsky-Lilly, WALE, dynamic kinetic energy, and dynamic Smagorinsky-Lilly. As a result, the WALE SGS model was observed to be in a better agreement compared with the experimental data owing to its significant enhancement in flow diffusivity modelling. The WALE SGS model has achieved a more accurate temperature prediction and finer resolved turbulence compared with other SGS models. © Tsinghua University Press 2021
abstract_unstemmed	Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although suppression behaviours between hydrocarbon-fuelled fire and water-based suppression agents were extensively studied both numerically and experimentally, lack of numerical studies was conducted on fires involving water-reactive chemicals (i.e., Na, Li, and LiH), where extinguishment is barely performed by water-based active suppression system, as violent and explosive decomposition occurred between water and reactive fuel. In this research, a numerical investigation has been conducted on expandable graphite (EG) application for water-reactive fire suppression. Based on the discrete phase model (DPM) framework, a novel EG particle model is proposed to characterise the particle expansion that couples with superior thermal properties and chemical stability. A numerical assessment on large eddy simulation (LES) has been performed to study the temporal fire behaviours and the suppression effect of EG against the flame plume in various subgrid-scale (SGS) models. Four SGS models were adopted, which were namely Smagorinsky-Lilly, WALE, dynamic kinetic energy, and dynamic Smagorinsky-Lilly. As a result, the WALE SGS model was observed to be in a better agreement compared with the experimental data owing to its significant enhancement in flow diffusivity modelling. The WALE SGS model has achieved a more accurate temperature prediction and finer resolved turbulence compared with other SGS models. © Tsinghua University Press 2021
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title_short	Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression
url	https://dx.doi.org/10.1007/s42757-021-0112-8
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author2	Liu, Hengrui Yuen, Anthony Chun Yin Chen, Timothy Bo Yuan Li, Ao Yeoh, Guan Heng
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doi_str	10.1007/s42757-021-0112-8
up_date	2024-07-03T18:54:45.010Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR048391972</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230509114119.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">221019s2021 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s42757-021-0112-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR048391972</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42757-021-0112-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">De Cachinho Cordeiro, Ivan Miguel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Tsinghua University Press 2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Owing to the well-established Eulerian-Lagrangian framework on mixture fluids, computational fluid dynamics coupled with discrete element model (CFD-DEM) is an effective while appropriate tool to predict the complex interactive fire behaviours associate with suppression effects. Although suppression behaviours between hydrocarbon-fuelled fire and water-based suppression agents were extensively studied both numerically and experimentally, lack of numerical studies was conducted on fires involving water-reactive chemicals (i.e., Na, Li, and LiH), where extinguishment is barely performed by water-based active suppression system, as violent and explosive decomposition occurred between water and reactive fuel. In this research, a numerical investigation has been conducted on expandable graphite (EG) application for water-reactive fire suppression. Based on the discrete phase model (DPM) framework, a novel EG particle model is proposed to characterise the particle expansion that couples with superior thermal properties and chemical stability. A numerical assessment on large eddy simulation (LES) has been performed to study the temporal fire behaviours and the suppression effect of EG against the flame plume in various subgrid-scale (SGS) models. Four SGS models were adopted, which were namely Smagorinsky-Lilly, WALE, dynamic kinetic energy, and dynamic Smagorinsky-Lilly. As a result, the WALE SGS model was observed to be in a better agreement compared with the experimental data owing to its significant enhancement in flow diffusivity modelling. 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Numerical assessment of LES subgrid-scale turbulence models for expandable particles in fire suppression

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