A new overset grid assembly strategy for dynamic grid systems

In overset grid assembly (OGA), the efficiency of assembly has been a major concern. In this paper, we propose an OGA strategy focuses on the re-assembly process in dynamic grid systems. Based on the recognition and expansion process of the hole boundary, we define a new set of cells for continuing...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Fu, Hao [verfasserIn] Xia, Jian [verfasserIn] Tian, Shuling [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Overset grid assembly Dynamic grid Computational fluid dynamics

Übergeordnetes Werk:	Enthalten in: Mathematics and computers in simulation - Amsterdam [u.a.] : Elsevier Science, 1960, 211, Seite 171-191
Übergeordnetes Werk:	volume:211 ; pages:171-191

DOI / URN:	10.1016/j.matcom.2023.04.002

Katalog-ID:	ELV010006788

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100	1		\|a Fu, Hao \|e verfasserin \|0 (orcid)0000-0003-2015-3883 \|4 aut
245	1	0	\|a A new overset grid assembly strategy for dynamic grid systems
264		1	\|c 2023
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520			\|a In overset grid assembly (OGA), the efficiency of assembly has been a major concern. In this paper, we propose an OGA strategy focuses on the re-assembly process in dynamic grid systems. Based on the recognition and expansion process of the hole boundary, we define a new set of cells for continuing OGA step. In this method, the number of cells participating in the new OGA process constitutes only a small portion of the primary grid system, leading to an acceleration in assembly and wall distance calculation. Not limited to the dynamic grid system, the static OGA is also improved based on the proposed method, without the need for additional mesh and only need minor changes to the program. We investigate cases including static and dynamic grid systems to verify the efficacy of the proposed method. The results confirm that the new method reduces the time consumption by 50% compared to the original method, particularly in the improvement of wall distance calculation.
650		4	\|a Overset grid assembly
650		4	\|a Dynamic grid
650		4	\|a Computational fluid dynamics
700	1		\|a Xia, Jian \|e verfasserin \|4 aut
700	1		\|a Tian, Shuling \|e verfasserin \|0 (orcid)0000-0003-3445-5102 \|4 aut
773	0	8	\|i Enthalten in \|t Mathematics and computers in simulation \|d Amsterdam [u.a.] : Elsevier Science, 1960 \|g 211, Seite 171-191 \|h Online-Ressource \|w (DE-627)320421082 \|w (DE-600)2002570-1 \|w (DE-576)114947686 \|7 nnns
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912			\|a GBV_ILN_32
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
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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_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
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_2007
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
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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
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912			\|a GBV_ILN_2027
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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_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2507
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912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
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936	b	k	\|a 31.80 \|j Angewandte Mathematik \|q VZ
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Indexfelder

author_variant	h f hf j x jx s t st
matchkey_str	fuhaoxiajiantianshuling:2023----:nwvregiasmlsrtgfrya
hierarchy_sort_str	2023
bklnumber	31.80 54.76
publishDate	2023
allfields	10.1016/j.matcom.2023.04.002 doi (DE-627)ELV010006788 (ELSEVIER)S0378-4754(23)00143-X DE-627 ger DE-627 rda eng 004 VZ 31.80 bkl 54.76 bkl Fu, Hao verfasserin (orcid)0000-0003-2015-3883 aut A new overset grid assembly strategy for dynamic grid systems 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In overset grid assembly (OGA), the efficiency of assembly has been a major concern. In this paper, we propose an OGA strategy focuses on the re-assembly process in dynamic grid systems. Based on the recognition and expansion process of the hole boundary, we define a new set of cells for continuing OGA step. In this method, the number of cells participating in the new OGA process constitutes only a small portion of the primary grid system, leading to an acceleration in assembly and wall distance calculation. Not limited to the dynamic grid system, the static OGA is also improved based on the proposed method, without the need for additional mesh and only need minor changes to the program. We investigate cases including static and dynamic grid systems to verify the efficacy of the proposed method. The results confirm that the new method reduces the time consumption by 50% compared to the original method, particularly in the improvement of wall distance calculation. Overset grid assembly Dynamic grid Computational fluid dynamics Xia, Jian verfasserin aut Tian, Shuling verfasserin (orcid)0000-0003-3445-5102 aut Enthalten in Mathematics and computers in simulation Amsterdam [u.a.] : Elsevier Science, 1960 211, Seite 171-191 Online-Ressource (DE-627)320421082 (DE-600)2002570-1 (DE-576)114947686 nnns volume:211 pages:171-191 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.80 Angewandte Mathematik VZ 54.76 Computersimulation VZ AR 211 171-191
spelling	10.1016/j.matcom.2023.04.002 doi (DE-627)ELV010006788 (ELSEVIER)S0378-4754(23)00143-X DE-627 ger DE-627 rda eng 004 VZ 31.80 bkl 54.76 bkl Fu, Hao verfasserin (orcid)0000-0003-2015-3883 aut A new overset grid assembly strategy for dynamic grid systems 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In overset grid assembly (OGA), the efficiency of assembly has been a major concern. In this paper, we propose an OGA strategy focuses on the re-assembly process in dynamic grid systems. Based on the recognition and expansion process of the hole boundary, we define a new set of cells for continuing OGA step. In this method, the number of cells participating in the new OGA process constitutes only a small portion of the primary grid system, leading to an acceleration in assembly and wall distance calculation. Not limited to the dynamic grid system, the static OGA is also improved based on the proposed method, without the need for additional mesh and only need minor changes to the program. We investigate cases including static and dynamic grid systems to verify the efficacy of the proposed method. The results confirm that the new method reduces the time consumption by 50% compared to the original method, particularly in the improvement of wall distance calculation. Overset grid assembly Dynamic grid Computational fluid dynamics Xia, Jian verfasserin aut Tian, Shuling verfasserin (orcid)0000-0003-3445-5102 aut Enthalten in Mathematics and computers in simulation Amsterdam [u.a.] : Elsevier Science, 1960 211, Seite 171-191 Online-Ressource (DE-627)320421082 (DE-600)2002570-1 (DE-576)114947686 nnns volume:211 pages:171-191 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.80 Angewandte Mathematik VZ 54.76 Computersimulation VZ AR 211 171-191
allfields_unstemmed	10.1016/j.matcom.2023.04.002 doi (DE-627)ELV010006788 (ELSEVIER)S0378-4754(23)00143-X DE-627 ger DE-627 rda eng 004 VZ 31.80 bkl 54.76 bkl Fu, Hao verfasserin (orcid)0000-0003-2015-3883 aut A new overset grid assembly strategy for dynamic grid systems 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In overset grid assembly (OGA), the efficiency of assembly has been a major concern. In this paper, we propose an OGA strategy focuses on the re-assembly process in dynamic grid systems. Based on the recognition and expansion process of the hole boundary, we define a new set of cells for continuing OGA step. In this method, the number of cells participating in the new OGA process constitutes only a small portion of the primary grid system, leading to an acceleration in assembly and wall distance calculation. Not limited to the dynamic grid system, the static OGA is also improved based on the proposed method, without the need for additional mesh and only need minor changes to the program. We investigate cases including static and dynamic grid systems to verify the efficacy of the proposed method. The results confirm that the new method reduces the time consumption by 50% compared to the original method, particularly in the improvement of wall distance calculation. Overset grid assembly Dynamic grid Computational fluid dynamics Xia, Jian verfasserin aut Tian, Shuling verfasserin (orcid)0000-0003-3445-5102 aut Enthalten in Mathematics and computers in simulation Amsterdam [u.a.] : Elsevier Science, 1960 211, Seite 171-191 Online-Ressource (DE-627)320421082 (DE-600)2002570-1 (DE-576)114947686 nnns volume:211 pages:171-191 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.80 Angewandte Mathematik VZ 54.76 Computersimulation VZ AR 211 171-191
allfieldsGer	10.1016/j.matcom.2023.04.002 doi (DE-627)ELV010006788 (ELSEVIER)S0378-4754(23)00143-X DE-627 ger DE-627 rda eng 004 VZ 31.80 bkl 54.76 bkl Fu, Hao verfasserin (orcid)0000-0003-2015-3883 aut A new overset grid assembly strategy for dynamic grid systems 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In overset grid assembly (OGA), the efficiency of assembly has been a major concern. In this paper, we propose an OGA strategy focuses on the re-assembly process in dynamic grid systems. Based on the recognition and expansion process of the hole boundary, we define a new set of cells for continuing OGA step. In this method, the number of cells participating in the new OGA process constitutes only a small portion of the primary grid system, leading to an acceleration in assembly and wall distance calculation. Not limited to the dynamic grid system, the static OGA is also improved based on the proposed method, without the need for additional mesh and only need minor changes to the program. We investigate cases including static and dynamic grid systems to verify the efficacy of the proposed method. The results confirm that the new method reduces the time consumption by 50% compared to the original method, particularly in the improvement of wall distance calculation. Overset grid assembly Dynamic grid Computational fluid dynamics Xia, Jian verfasserin aut Tian, Shuling verfasserin (orcid)0000-0003-3445-5102 aut Enthalten in Mathematics and computers in simulation Amsterdam [u.a.] : Elsevier Science, 1960 211, Seite 171-191 Online-Ressource (DE-627)320421082 (DE-600)2002570-1 (DE-576)114947686 nnns volume:211 pages:171-191 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.80 Angewandte Mathematik VZ 54.76 Computersimulation VZ AR 211 171-191
allfieldsSound	10.1016/j.matcom.2023.04.002 doi (DE-627)ELV010006788 (ELSEVIER)S0378-4754(23)00143-X DE-627 ger DE-627 rda eng 004 VZ 31.80 bkl 54.76 bkl Fu, Hao verfasserin (orcid)0000-0003-2015-3883 aut A new overset grid assembly strategy for dynamic grid systems 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In overset grid assembly (OGA), the efficiency of assembly has been a major concern. In this paper, we propose an OGA strategy focuses on the re-assembly process in dynamic grid systems. Based on the recognition and expansion process of the hole boundary, we define a new set of cells for continuing OGA step. In this method, the number of cells participating in the new OGA process constitutes only a small portion of the primary grid system, leading to an acceleration in assembly and wall distance calculation. Not limited to the dynamic grid system, the static OGA is also improved based on the proposed method, without the need for additional mesh and only need minor changes to the program. We investigate cases including static and dynamic grid systems to verify the efficacy of the proposed method. The results confirm that the new method reduces the time consumption by 50% compared to the original method, particularly in the improvement of wall distance calculation. Overset grid assembly Dynamic grid Computational fluid dynamics Xia, Jian verfasserin aut Tian, Shuling verfasserin (orcid)0000-0003-3445-5102 aut Enthalten in Mathematics and computers in simulation Amsterdam [u.a.] : Elsevier Science, 1960 211, Seite 171-191 Online-Ressource (DE-627)320421082 (DE-600)2002570-1 (DE-576)114947686 nnns volume:211 pages:171-191 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.80 Angewandte Mathematik VZ 54.76 Computersimulation VZ AR 211 171-191
language	English
source	Enthalten in Mathematics and computers in simulation 211, Seite 171-191 volume:211 pages:171-191
sourceStr	Enthalten in Mathematics and computers in simulation 211, Seite 171-191 volume:211 pages:171-191
format_phy_str_mv	Article
bklname	Angewandte Mathematik Computersimulation
institution	findex.gbv.de
topic_facet	Overset grid assembly Dynamic grid Computational fluid dynamics
dewey-raw	004
isfreeaccess_bool	false
container_title	Mathematics and computers in simulation
authorswithroles_txt_mv	Fu, Hao @@aut@@ Xia, Jian @@aut@@ Tian, Shuling @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	320421082
dewey-sort	14
id	ELV010006788
language_de	englisch
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author	Fu, Hao
spellingShingle	Fu, Hao ddc 004 bkl 31.80 bkl 54.76 misc Overset grid assembly misc Dynamic grid misc Computational fluid dynamics A new overset grid assembly strategy for dynamic grid systems
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topic_title	004 VZ 31.80 bkl 54.76 bkl A new overset grid assembly strategy for dynamic grid systems Overset grid assembly Dynamic grid Computational fluid dynamics
topic	ddc 004 bkl 31.80 bkl 54.76 misc Overset grid assembly misc Dynamic grid misc Computational fluid dynamics
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title	A new overset grid assembly strategy for dynamic grid systems
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title_full	A new overset grid assembly strategy for dynamic grid systems
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title_sort	a new overset grid assembly strategy for dynamic grid systems
title_auth	A new overset grid assembly strategy for dynamic grid systems
abstract	In overset grid assembly (OGA), the efficiency of assembly has been a major concern. In this paper, we propose an OGA strategy focuses on the re-assembly process in dynamic grid systems. Based on the recognition and expansion process of the hole boundary, we define a new set of cells for continuing OGA step. In this method, the number of cells participating in the new OGA process constitutes only a small portion of the primary grid system, leading to an acceleration in assembly and wall distance calculation. Not limited to the dynamic grid system, the static OGA is also improved based on the proposed method, without the need for additional mesh and only need minor changes to the program. We investigate cases including static and dynamic grid systems to verify the efficacy of the proposed method. The results confirm that the new method reduces the time consumption by 50% compared to the original method, particularly in the improvement of wall distance calculation.
abstractGer	In overset grid assembly (OGA), the efficiency of assembly has been a major concern. In this paper, we propose an OGA strategy focuses on the re-assembly process in dynamic grid systems. Based on the recognition and expansion process of the hole boundary, we define a new set of cells for continuing OGA step. In this method, the number of cells participating in the new OGA process constitutes only a small portion of the primary grid system, leading to an acceleration in assembly and wall distance calculation. Not limited to the dynamic grid system, the static OGA is also improved based on the proposed method, without the need for additional mesh and only need minor changes to the program. We investigate cases including static and dynamic grid systems to verify the efficacy of the proposed method. The results confirm that the new method reduces the time consumption by 50% compared to the original method, particularly in the improvement of wall distance calculation.
abstract_unstemmed	In overset grid assembly (OGA), the efficiency of assembly has been a major concern. In this paper, we propose an OGA strategy focuses on the re-assembly process in dynamic grid systems. Based on the recognition and expansion process of the hole boundary, we define a new set of cells for continuing OGA step. In this method, the number of cells participating in the new OGA process constitutes only a small portion of the primary grid system, leading to an acceleration in assembly and wall distance calculation. Not limited to the dynamic grid system, the static OGA is also improved based on the proposed method, without the need for additional mesh and only need minor changes to the program. We investigate cases including static and dynamic grid systems to verify the efficacy of the proposed method. The results confirm that the new method reduces the time consumption by 50% compared to the original method, particularly in the improvement of wall distance calculation.
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title_short	A new overset grid assembly strategy for dynamic grid systems
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A new overset grid assembly strategy for dynamic grid systems

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