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f | 1 | { | f | 1 | { |
2 | "author": "Straub, Steffen", | 2 | "author": "Straub, Steffen", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/1167", | 5 | "doi": "10.35097/1167", | ||
6 | "doi_date_published": "2023", | 6 | "doi_date_published": "2023", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "groups": [], | 9 | "groups": [], | ||
10 | "id": "6fc712f4-f497-44a6-884c-f384df5ff025", | 10 | "id": "6fc712f4-f497-44a6-884c-f384df5ff025", | ||
11 | "isopen": false, | 11 | "isopen": false, | ||
12 | "license_id": "CC BY-NC-ND 4.0 Attribution-NonCommercial-NoDerivs", | 12 | "license_id": "CC BY-NC-ND 4.0 Attribution-NonCommercial-NoDerivs", | ||
13 | "license_title": "CC BY-NC-ND 4.0 | 13 | "license_title": "CC BY-NC-ND 4.0 | ||
14 | Attribution-NonCommercial-NoDerivs", | 14 | Attribution-NonCommercial-NoDerivs", | ||
15 | "metadata_created": "2023-08-04T08:50:11.205403", | 15 | "metadata_created": "2023-08-04T08:50:11.205403", | ||
t | 16 | "metadata_modified": "2023-08-04T08:50:11.205409", | t | 16 | "metadata_modified": "2023-08-04T08:51:48.035402", |
17 | "name": "rdr-doi-10-35097-1167", | 17 | "name": "rdr-doi-10-35097-1167", | ||
18 | "notes": "Abstract: This database contains numerical results of | 18 | "notes": "Abstract: This database contains numerical results of | ||
19 | well-resolved large-eddy simulations of azimuthally inhomogeneous | 19 | well-resolved large-eddy simulations of azimuthally inhomogeneous | ||
20 | thermal boundary conditions in a fully developed forced convection | 20 | thermal boundary conditions in a fully developed forced convection | ||
21 | pipe flow. Please refer to the README for further | 21 | pipe flow. Please refer to the README for further | ||
22 | information.\r\nTechnicalRemarks: # Thermal Statistics of Turbulent | 22 | information.\r\nTechnicalRemarks: # Thermal Statistics of Turbulent | ||
23 | Forced Convection Pipe Flow for Azimuthally Inhomogeneous Thermal | 23 | Forced Convection Pipe Flow for Azimuthally Inhomogeneous Thermal | ||
24 | Boundary Conditions\r\n\r\nThis database features thermal statistics | 24 | Boundary Conditions\r\n\r\nThis database features thermal statistics | ||
25 | for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers | 25 | for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers | ||
26 | of Re=5300, 11700, 19000, 37700 in a fully-developed forced convection | 26 | of Re=5300, 11700, 19000, 37700 in a fully-developed forced convection | ||
27 | pipe flow.\r\n\r\nThe wall heat flux is prescribed to be adiabatic on | 27 | pipe flow.\r\n\r\nThe wall heat flux is prescribed to be adiabatic on | ||
28 | one half of the pipe and constant (\"halfconst\") or sinusoidal | 28 | one half of the pipe and constant (\"halfconst\") or sinusoidal | ||
29 | (\"halfsin\") on the other half.\r\n\r\nThe detailed description of | 29 | (\"halfsin\") on the other half.\r\n\r\nThe detailed description of | ||
30 | the numerical setup and discussion of the statistics contained in this | 30 | the numerical setup and discussion of the statistics contained in this | ||
31 | database are given in the accompanying publication:\r\nStraub, | 31 | database are given in the accompanying publication:\r\nStraub, | ||
32 | Forooghi, Marocco, Wetzel, Frohnapfel. \"Azimuthally inhomogeneous | 32 | Forooghi, Marocco, Wetzel, Frohnapfel. \"Azimuthally inhomogeneous | ||
33 | thermal boundary conditions in turbulent forced convection pipe flow | 33 | thermal boundary conditions in turbulent forced convection pipe flow | ||
34 | for low to medium Prandtl numbers\". International Journal of Heat and | 34 | for low to medium Prandtl numbers\". International Journal of Heat and | ||
35 | Fluid Flow. 2019\r\n\r\n## Contents\r\n- Global Nusselt numbers\r\n- | 35 | Fluid Flow. 2019\r\n\r\n## Contents\r\n- Global Nusselt numbers\r\n- | ||
36 | Wall temperature and local Nusselt number\r\n- Temperature evaluated | 36 | Wall temperature and local Nusselt number\r\n- Temperature evaluated | ||
37 | at five azimuthal locations\r\n- Turbulent heat fluxes evaluated at | 37 | at five azimuthal locations\r\n- Turbulent heat fluxes evaluated at | ||
38 | five azimuthal locations\r\n- Temperature variance evaluated at five | 38 | five azimuthal locations\r\n- Temperature variance evaluated at five | ||
39 | azimuthal locations\r\n- Turbulent Prandtl number", | 39 | azimuthal locations\r\n- Turbulent Prandtl number", | ||
40 | "num_resources": 0, | 40 | "num_resources": 0, | ||
41 | "num_tags": 4, | 41 | "num_tags": 4, | ||
42 | "orcid": "", | 42 | "orcid": "", | ||
43 | "organization": { | 43 | "organization": { | ||
44 | "approval_status": "approved", | 44 | "approval_status": "approved", | ||
45 | "created": "2023-01-12T13:30:23.238233", | 45 | "created": "2023-01-12T13:30:23.238233", | ||
46 | "description": "RADAR (Research Data Repository) is a | 46 | "description": "RADAR (Research Data Repository) is a | ||
47 | cross-disciplinary repository for archiving and publishing research | 47 | cross-disciplinary repository for archiving and publishing research | ||
48 | data from completed scientific studies and projects. The focus is on | 48 | data from completed scientific studies and projects. The focus is on | ||
49 | research data from subjects that do not yet have their own | 49 | research data from subjects that do not yet have their own | ||
50 | discipline-specific infrastructures for research data management. ", | 50 | discipline-specific infrastructures for research data management. ", | ||
51 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 51 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
52 | "image_url": "radar-logo.svg", | 52 | "image_url": "radar-logo.svg", | ||
53 | "is_organization": true, | 53 | "is_organization": true, | ||
54 | "name": "radar", | 54 | "name": "radar", | ||
55 | "state": "active", | 55 | "state": "active", | ||
56 | "title": "RADAR", | 56 | "title": "RADAR", | ||
57 | "type": "organization" | 57 | "type": "organization" | ||
58 | }, | 58 | }, | ||
59 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 59 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
60 | "private": false, | 60 | "private": false, | ||
61 | "production_year": "2019", | 61 | "production_year": "2019", | ||
62 | "publication_year": "2023", | 62 | "publication_year": "2023", | ||
63 | "publishers": [ | 63 | "publishers": [ | ||
64 | { | 64 | { | ||
65 | "publisher": "Karlsruhe Institute of Technology" | 65 | "publisher": "Karlsruhe Institute of Technology" | ||
66 | } | 66 | } | ||
67 | ], | 67 | ], | ||
68 | "relationships_as_object": [], | 68 | "relationships_as_object": [], | ||
69 | "relationships_as_subject": [], | 69 | "relationships_as_subject": [], | ||
70 | "repository_name": "RADAR (Research Data Repository)", | 70 | "repository_name": "RADAR (Research Data Repository)", | ||
71 | "resources": [], | 71 | "resources": [], | ||
72 | "services_used_list": "", | 72 | "services_used_list": "", | ||
73 | "source_metadata_created": "2023", | 73 | "source_metadata_created": "2023", | ||
74 | "source_metadata_modified": "", | 74 | "source_metadata_modified": "", | ||
75 | "state": "active", | 75 | "state": "active", | ||
76 | "subject_areas": [ | 76 | "subject_areas": [ | ||
77 | { | 77 | { | ||
78 | "subject_area_additional": "", | 78 | "subject_area_additional": "", | ||
79 | "subject_area_name": "Engineering" | 79 | "subject_area_name": "Engineering" | ||
80 | } | 80 | } | ||
81 | ], | 81 | ], | ||
82 | "tags": [ | 82 | "tags": [ | ||
83 | { | 83 | { | ||
84 | "display_name": "forced convection", | 84 | "display_name": "forced convection", | ||
85 | "id": "c8b76374-5f73-48c6-b2fd-d78d128f30fa", | 85 | "id": "c8b76374-5f73-48c6-b2fd-d78d128f30fa", | ||
86 | "name": "forced convection", | 86 | "name": "forced convection", | ||
87 | "state": "active", | 87 | "state": "active", | ||
88 | "vocabulary_id": null | 88 | "vocabulary_id": null | ||
89 | }, | 89 | }, | ||
90 | { | 90 | { | ||
91 | "display_name": "inhomogeneous boundary conditions", | 91 | "display_name": "inhomogeneous boundary conditions", | ||
92 | "id": "f0d4de17-a42b-4d11-b9a2-e31fa4959c97", | 92 | "id": "f0d4de17-a42b-4d11-b9a2-e31fa4959c97", | ||
93 | "name": "inhomogeneous boundary conditions", | 93 | "name": "inhomogeneous boundary conditions", | ||
94 | "state": "active", | 94 | "state": "active", | ||
95 | "vocabulary_id": null | 95 | "vocabulary_id": null | ||
96 | }, | 96 | }, | ||
97 | { | 97 | { | ||
98 | "display_name": "liquid metals", | 98 | "display_name": "liquid metals", | ||
99 | "id": "31bdc9a2-6038-41c1-8ba1-38c09772f44d", | 99 | "id": "31bdc9a2-6038-41c1-8ba1-38c09772f44d", | ||
100 | "name": "liquid metals", | 100 | "name": "liquid metals", | ||
101 | "state": "active", | 101 | "state": "active", | ||
102 | "vocabulary_id": null | 102 | "vocabulary_id": null | ||
103 | }, | 103 | }, | ||
104 | { | 104 | { | ||
105 | "display_name": "turbulence", | 105 | "display_name": "turbulence", | ||
106 | "id": "9da18eaa-6a77-49ea-8605-040300510c76", | 106 | "id": "9da18eaa-6a77-49ea-8605-040300510c76", | ||
107 | "name": "turbulence", | 107 | "name": "turbulence", | ||
108 | "state": "active", | 108 | "state": "active", | ||
109 | "vocabulary_id": null | 109 | "vocabulary_id": null | ||
110 | } | 110 | } | ||
111 | ], | 111 | ], | ||
112 | "title": "Thermal statistics of turbulent forced convection pipe | 112 | "title": "Thermal statistics of turbulent forced convection pipe | ||
113 | flow for azimuthally inomogeneous thermal boundary conditions", | 113 | flow for azimuthally inomogeneous thermal boundary conditions", | ||
114 | "type": "vdataset", | 114 | "type": "vdataset", | ||
115 | "url": "https://doi.org/10.35097/1167" | 115 | "url": "https://doi.org/10.35097/1167" | ||
116 | } | 116 | } |