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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": "10.35097/1526", | 5 | "doi": "10.35097/1526", | ||
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": "1862ed49-74ab-467b-bcf1-6e6e050c65dd", | 10 | "id": "1862ed49-74ab-467b-bcf1-6e6e050c65dd", | ||
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": "2023-08-04T08:50:59.185794", | 15 | "metadata_created": "2023-08-04T08:50:59.185794", | ||
t | 16 | "metadata_modified": "2023-08-04T08:52:08.887726", | t | 16 | "metadata_modified": "2023-08-04T08:53:42.405617", |
17 | "name": "rdr-doi-10-35097-1526", | 17 | "name": "rdr-doi-10-35097-1526", | ||
18 | "notes": "Abstract: This database contains numerical results of | 18 | "notes": "Abstract: This database contains numerical results of | ||
19 | well-resolved large-eddy simulations and direct numerical simulations | 19 | well-resolved large-eddy simulations and direct numerical simulations | ||
20 | on a turbulent forced convection pipe flow with axially and | 20 | on a turbulent forced convection pipe flow with axially and | ||
21 | azimuthally inhomogeneous thermal boundary conditions. Please refer to | 21 | azimuthally inhomogeneous thermal boundary conditions. Please refer to | ||
22 | the README for further information.\r\nTechnicalRemarks: # Thermal | 22 | the README for further information.\r\nTechnicalRemarks: # Thermal | ||
23 | statistics of turbulent forced convection pipe flow for axially and | 23 | statistics of turbulent forced convection pipe flow for axially and | ||
24 | azimuthally inhomogeneous thermal boundary conditions\r\n\r\nThis | 24 | azimuthally inhomogeneous thermal boundary conditions\r\n\r\nThis | ||
25 | database features thermal statistics for fluids of Prandtl numbers | 25 | database features thermal statistics for fluids of Prandtl numbers | ||
26 | Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, | 26 | Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, | ||
27 | 37700 for forced convection pipe flow with axially and azimuthally | 27 | 37700 for forced convection pipe flow with axially and azimuthally | ||
28 | inhomogeneous thermal boundary conditions.\r\n\r\nThe wall heat flux | 28 | inhomogeneous thermal boundary conditions.\r\n\r\nThe wall heat flux | ||
29 | in azimuthal direction is prescribed to be adiabatic on one half of | 29 | in azimuthal direction is prescribed to be adiabatic on one half of | ||
30 | the pipe and sinusoidal on the other half.\r\nIn axial direction, the | 30 | the pipe and sinusoidal on the other half.\r\nIn axial direction, the | ||
31 | wall heat flux distribution is given by a Gaussian | 31 | wall heat flux distribution is given by a Gaussian | ||
32 | function.\r\n\r\nThe detailed description of the numerical setup and | 32 | function.\r\n\r\nThe detailed description of the numerical setup and | ||
33 | discussion of the statistics contained in this database are given in | 33 | discussion of the statistics contained in this database are given in | ||
34 | the dissertation:\r\nStraub. \"Non-homogeneous thermal boundary | 34 | the dissertation:\r\nStraub. \"Non-homogeneous thermal boundary | ||
35 | conditions in low to medium Prandtl number turbulent pipe flows\". | 35 | conditions in low to medium Prandtl number turbulent pipe flows\". | ||
36 | Dissertation, Karlsruhe Institute of Technologie (KIT), | 36 | Dissertation, Karlsruhe Institute of Technologie (KIT), | ||
37 | 2020\r\n\r\nContents\r\n\r\n Nusselt number\r\n Wall | 37 | 2020\r\n\r\nContents\r\n\r\n Nusselt number\r\n Wall | ||
38 | temperature\r\n Radial profiles of temperature at nine axial and | 38 | temperature\r\n Radial profiles of temperature at nine axial and | ||
39 | five azimuthal locations\r\n Radial profiles of temperature | 39 | five azimuthal locations\r\n Radial profiles of temperature | ||
40 | variance at nine axial and five azimuthal locations\r\n Radial | 40 | variance at nine axial and five azimuthal locations\r\n Radial | ||
41 | profiles of turbulent heat fluxes at nine axial and five azimuthal | 41 | profiles of turbulent heat fluxes at nine axial and five azimuthal | ||
42 | locations", | 42 | locations", | ||
43 | "num_resources": 0, | 43 | "num_resources": 0, | ||
44 | "num_tags": 4, | 44 | "num_tags": 4, | ||
45 | "orcid": "", | 45 | "orcid": "", | ||
46 | "organization": { | 46 | "organization": { | ||
47 | "approval_status": "approved", | 47 | "approval_status": "approved", | ||
48 | "created": "2023-01-12T13:30:23.238233", | 48 | "created": "2023-01-12T13:30:23.238233", | ||
49 | "description": "RADAR (Research Data Repository) is a | 49 | "description": "RADAR (Research Data Repository) is a | ||
50 | cross-disciplinary repository for archiving and publishing research | 50 | cross-disciplinary repository for archiving and publishing research | ||
51 | data from completed scientific studies and projects. The focus is on | 51 | data from completed scientific studies and projects. The focus is on | ||
52 | research data from subjects that do not yet have their own | 52 | research data from subjects that do not yet have their own | ||
53 | discipline-specific infrastructures for research data management. ", | 53 | discipline-specific infrastructures for research data management. ", | ||
54 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 54 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
55 | "image_url": "radar-logo.svg", | 55 | "image_url": "radar-logo.svg", | ||
56 | "is_organization": true, | 56 | "is_organization": true, | ||
57 | "name": "radar", | 57 | "name": "radar", | ||
58 | "state": "active", | 58 | "state": "active", | ||
59 | "title": "RADAR", | 59 | "title": "RADAR", | ||
60 | "type": "organization" | 60 | "type": "organization" | ||
61 | }, | 61 | }, | ||
62 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 62 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
63 | "private": false, | 63 | "private": false, | ||
64 | "production_year": "2019", | 64 | "production_year": "2019", | ||
65 | "publication_year": "2023", | 65 | "publication_year": "2023", | ||
66 | "publishers": [ | 66 | "publishers": [ | ||
67 | { | 67 | { | ||
68 | "publisher": "Karlsruhe Institute of Technology" | 68 | "publisher": "Karlsruhe Institute of Technology" | ||
69 | } | 69 | } | ||
70 | ], | 70 | ], | ||
71 | "relationships_as_object": [], | 71 | "relationships_as_object": [], | ||
72 | "relationships_as_subject": [], | 72 | "relationships_as_subject": [], | ||
73 | "repository_name": "RADAR (Research Data Repository)", | 73 | "repository_name": "RADAR (Research Data Repository)", | ||
74 | "resources": [], | 74 | "resources": [], | ||
75 | "services_used_list": "", | 75 | "services_used_list": "", | ||
76 | "source_metadata_created": "2023", | 76 | "source_metadata_created": "2023", | ||
77 | "source_metadata_modified": "", | 77 | "source_metadata_modified": "", | ||
78 | "state": "active", | 78 | "state": "active", | ||
79 | "subject_areas": [ | 79 | "subject_areas": [ | ||
80 | { | 80 | { | ||
81 | "subject_area_additional": "", | 81 | "subject_area_additional": "", | ||
82 | "subject_area_name": "Engineering" | 82 | "subject_area_name": "Engineering" | ||
83 | } | 83 | } | ||
84 | ], | 84 | ], | ||
85 | "tags": [ | 85 | "tags": [ | ||
86 | { | 86 | { | ||
87 | "display_name": "forced convection", | 87 | "display_name": "forced convection", | ||
88 | "id": "c8b76374-5f73-48c6-b2fd-d78d128f30fa", | 88 | "id": "c8b76374-5f73-48c6-b2fd-d78d128f30fa", | ||
89 | "name": "forced convection", | 89 | "name": "forced convection", | ||
90 | "state": "active", | 90 | "state": "active", | ||
91 | "vocabulary_id": null | 91 | "vocabulary_id": null | ||
92 | }, | 92 | }, | ||
93 | { | 93 | { | ||
94 | "display_name": "inhomogeneous boundary conditions", | 94 | "display_name": "inhomogeneous boundary conditions", | ||
95 | "id": "f0d4de17-a42b-4d11-b9a2-e31fa4959c97", | 95 | "id": "f0d4de17-a42b-4d11-b9a2-e31fa4959c97", | ||
96 | "name": "inhomogeneous boundary conditions", | 96 | "name": "inhomogeneous boundary conditions", | ||
97 | "state": "active", | 97 | "state": "active", | ||
98 | "vocabulary_id": null | 98 | "vocabulary_id": null | ||
99 | }, | 99 | }, | ||
100 | { | 100 | { | ||
101 | "display_name": "liquid metals", | 101 | "display_name": "liquid metals", | ||
102 | "id": "31bdc9a2-6038-41c1-8ba1-38c09772f44d", | 102 | "id": "31bdc9a2-6038-41c1-8ba1-38c09772f44d", | ||
103 | "name": "liquid metals", | 103 | "name": "liquid metals", | ||
104 | "state": "active", | 104 | "state": "active", | ||
105 | "vocabulary_id": null | 105 | "vocabulary_id": null | ||
106 | }, | 106 | }, | ||
107 | { | 107 | { | ||
108 | "display_name": "turbulence", | 108 | "display_name": "turbulence", | ||
109 | "id": "9da18eaa-6a77-49ea-8605-040300510c76", | 109 | "id": "9da18eaa-6a77-49ea-8605-040300510c76", | ||
110 | "name": "turbulence", | 110 | "name": "turbulence", | ||
111 | "state": "active", | 111 | "state": "active", | ||
112 | "vocabulary_id": null | 112 | "vocabulary_id": null | ||
113 | } | 113 | } | ||
114 | ], | 114 | ], | ||
115 | "title": "Thermal statistics of turbulent forced convection pipe | 115 | "title": "Thermal statistics of turbulent forced convection pipe | ||
116 | flow for axially and azimuthally inhomogeneous thermal boundary | 116 | flow for axially and azimuthally inhomogeneous thermal boundary | ||
117 | conditions", | 117 | conditions", | ||
118 | "type": "vdataset", | 118 | "type": "vdataset", | ||
119 | "url": "https://doi.org/10.35097/1526" | 119 | "url": "https://doi.org/10.35097/1526" | ||
120 | } | 120 | } |