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f | 1 | { | f | 1 | { |
2 | "author": "Yang, Jiasheng", | 2 | "author": "Yang, Jiasheng", | ||
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": "10.35097/1376", | 5 | "doi": "10.35097/1376", | ||
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 | "extra_authors": [ | 9 | "extra_authors": [ | ||
10 | { | 10 | { | ||
11 | "extra_author": "Stroh, Alexander", | 11 | "extra_author": "Stroh, Alexander", | ||
12 | "orcid": "" | 12 | "orcid": "" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "extra_author": "Jakirli\u0107, Suad", | 15 | "extra_author": "Jakirli\u0107, Suad", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Frohnapfel, Bettina", | 19 | "extra_author": "Frohnapfel, Bettina", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Forooghi, Pourya", | 23 | "extra_author": "Forooghi, Pourya", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | } | 25 | } | ||
26 | ], | 26 | ], | ||
27 | "groups": [], | 27 | "groups": [], | ||
28 | "id": "ebaede60-4225-4972-be13-218539fdb655", | 28 | "id": "ebaede60-4225-4972-be13-218539fdb655", | ||
29 | "isopen": false, | 29 | "isopen": false, | ||
30 | "license_id": "CC BY-SA 4.0 Attribution-ShareAlike", | 30 | "license_id": "CC BY-SA 4.0 Attribution-ShareAlike", | ||
31 | "license_title": "CC BY-SA 4.0 Attribution-ShareAlike", | 31 | "license_title": "CC BY-SA 4.0 Attribution-ShareAlike", | ||
32 | "metadata_created": "2023-08-04T08:50:39.553607", | 32 | "metadata_created": "2023-08-04T08:50:39.553607", | ||
t | 33 | "metadata_modified": "2023-08-04T09:04:14.519347", | t | 33 | "metadata_modified": "2023-08-04T09:31:19.408348", |
34 | "name": "rdr-doi-10-35097-1376", | 34 | "name": "rdr-doi-10-35097-1376", | ||
35 | "notes": "Abstract: Direct numerical simulation (DNS) is used to | 35 | "notes": "Abstract: Direct numerical simulation (DNS) is used to | ||
36 | systematically investigate the applicability of minimal channel | 36 | systematically investigate the applicability of minimal channel | ||
37 | approach for the characterization of double-averaged velocity and | 37 | approach for the characterization of double-averaged velocity and | ||
38 | temperature profiles in irregular rough surfaces. Roughness is | 38 | temperature profiles in irregular rough surfaces. Roughness is | ||
39 | generated mathematically using a random algorithm, in which the power | 39 | generated mathematically using a random algorithm, in which the power | ||
40 | spectrum (PS) and probability density function (PDF) of the surface | 40 | spectrum (PS) and probability density function (PDF) of the surface | ||
41 | height function can be prescribed. 12 different combinations of PS and | 41 | height function can be prescribed. 12 different combinations of PS and | ||
42 | PDF are examined at $Re_\\tau$=500.\r\nTechnicalRemarks: These files | 42 | PDF are examined at $Re_\\tau$=500.\r\nTechnicalRemarks: These files | ||
43 | contain the data used in the publication:\r\n\r\n\u201cStudy of | 43 | contain the data used in the publication:\r\n\r\n\u201cStudy of | ||
44 | irregular roughness in minimal channels\u201d\r\nJ. Yang, A. Stroh, S. | 44 | irregular roughness in minimal channels\u201d\r\nJ. Yang, A. Stroh, S. | ||
45 | Jakirlic, B. Frohnapfel and P. Forooghi\r\npublished in proceeding | 45 | Jakirlic, B. Frohnapfel and P. Forooghi\r\npublished in proceeding | ||
46 | ETMM13\r\ndoi: 10.5445/IR/1000140429\r\n\r\nNumerical | 46 | ETMM13\r\ndoi: 10.5445/IR/1000140429\r\n\r\nNumerical | ||
47 | Details:\r\n\r\nThe carried out DNS is based on a pseudo-spectral | 47 | Details:\r\n\r\nThe carried out DNS is based on a pseudo-spectral | ||
48 | solver for incompressible boundary layer flows developed at | 48 | solver for incompressible boundary layer flows developed at | ||
49 | KTH/Stockholm. The Navier-Stokes equations are numerically integrated | 49 | KTH/Stockholm. The Navier-Stokes equations are numerically integrated | ||
50 | using the velocity-vorticity formulation by a spectral method with | 50 | using the velocity-vorticity formulation by a spectral method with | ||
51 | Fourier decomposition in the horizontal directions and Chebyshev | 51 | Fourier decomposition in the horizontal directions and Chebyshev | ||
52 | discretization in the wall-normal direction. For temporal advancement, | 52 | discretization in the wall-normal direction. For temporal advancement, | ||
53 | the convection and viscous terms are discretized using the 3rd order | 53 | the convection and viscous terms are discretized using the 3rd order | ||
54 | Runge-Kutta and Crank-Nicolson methods, respectively. The simulation | 54 | Runge-Kutta and Crank-Nicolson methods, respectively. The simulation | ||
55 | domain represents an turbulent channel flow with periodic boundary | 55 | domain represents an turbulent channel flow with periodic boundary | ||
56 | conditions applied in streamwise and spanwise directions, while the | 56 | conditions applied in streamwise and spanwise directions, while the | ||
57 | wall-normal extension of the domain is bounded by no-slip and | 57 | wall-normal extension of the domain is bounded by no-slip and | ||
58 | zero-temperature boundary conditions at the upper and lower domain | 58 | zero-temperature boundary conditions at the upper and lower domain | ||
59 | wall. The flow is driven by a prescribed constant pressure gradient | 59 | wall. The flow is driven by a prescribed constant pressure gradient | ||
60 | (CPG), a heat source term is added to the flow. The friction Reynolds | 60 | (CPG), a heat source term is added to the flow. The friction Reynolds | ||
61 | number for the present case is fixed to Re_\u03c4 = 500. The | 61 | number for the present case is fixed to Re_\u03c4 = 500. The | ||
62 | structured surface is introduced through an immersed boundary method | 62 | structured surface is introduced through an immersed boundary method | ||
63 | (IBM) based on the method proposed by Goldstein et al. (1993) and is | 63 | (IBM) based on the method proposed by Goldstein et al. (1993) and is | ||
64 | essentially a proportional controller which imposes zero velocity in | 64 | essentially a proportional controller which imposes zero velocity in | ||
65 | the solid region of the numerical domain.\r\n\r\nData | 65 | the solid region of the numerical domain.\r\n\r\nData | ||
66 | Files:\r\n\r\nThe data files are saved and labeled in *.mat files. | 66 | Files:\r\n\r\nThe data files are saved and labeled in *.mat files. | ||
67 | Each file contains MATLAB data consisting of the roughness height | 67 | Each file contains MATLAB data consisting of the roughness height | ||
68 | distribution and corresponding coordinates. The roughness structures | 68 | distribution and corresponding coordinates. The roughness structures | ||
69 | are non-dimensionalized with the channel half height \u03b4. The | 69 | are non-dimensionalized with the channel half height \u03b4. The | ||
70 | naming convention of the data in this database follows the JFM | 70 | naming convention of the data in this database follows the JFM | ||
71 | publication \"DNS-based characterization of pseudo-random roughness in | 71 | publication \"DNS-based characterization of pseudo-random roughness in | ||
72 | minimal channels\" DOI: | 72 | minimal channels\" DOI: | ||
73 | 10.1017/jfm.2022.33.\r\n\r\nReference:\r\n\r\nPlease provide a | 73 | 10.1017/jfm.2022.33.\r\n\r\nReference:\r\n\r\nPlease provide a | ||
74 | reference to the article above when using this data.\r\nPlease direct | 74 | reference to the article above when using this data.\r\nPlease direct | ||
75 | questions regarding numerical setup/data to Jiasheng Yang | 75 | questions regarding numerical setup/data to Jiasheng Yang | ||
76 | (jiasheng.yang@kit.edu)", | 76 | (jiasheng.yang@kit.edu)", | ||
77 | "num_resources": 0, | 77 | "num_resources": 0, | ||
78 | "num_tags": 5, | 78 | "num_tags": 5, | ||
79 | "orcid": "0000-0003-0091-6855", | 79 | "orcid": "0000-0003-0091-6855", | ||
80 | "organization": { | 80 | "organization": { | ||
81 | "approval_status": "approved", | 81 | "approval_status": "approved", | ||
82 | "created": "2023-01-12T13:30:23.238233", | 82 | "created": "2023-01-12T13:30:23.238233", | ||
83 | "description": "RADAR (Research Data Repository) is a | 83 | "description": "RADAR (Research Data Repository) is a | ||
84 | cross-disciplinary repository for archiving and publishing research | 84 | cross-disciplinary repository for archiving and publishing research | ||
85 | data from completed scientific studies and projects. The focus is on | 85 | data from completed scientific studies and projects. The focus is on | ||
86 | research data from subjects that do not yet have their own | 86 | research data from subjects that do not yet have their own | ||
87 | discipline-specific infrastructures for research data management. ", | 87 | discipline-specific infrastructures for research data management. ", | ||
88 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 88 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
89 | "image_url": "radar-logo.svg", | 89 | "image_url": "radar-logo.svg", | ||
90 | "is_organization": true, | 90 | "is_organization": true, | ||
91 | "name": "radar", | 91 | "name": "radar", | ||
92 | "state": "active", | 92 | "state": "active", | ||
93 | "title": "RADAR", | 93 | "title": "RADAR", | ||
94 | "type": "organization" | 94 | "type": "organization" | ||
95 | }, | 95 | }, | ||
96 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 96 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
97 | "private": false, | 97 | "private": false, | ||
98 | "production_year": "2021", | 98 | "production_year": "2021", | ||
99 | "publication_year": "2023", | 99 | "publication_year": "2023", | ||
100 | "publishers": [ | 100 | "publishers": [ | ||
101 | { | 101 | { | ||
102 | "publisher": "Karlsruhe Institute of Technology" | 102 | "publisher": "Karlsruhe Institute of Technology" | ||
103 | } | 103 | } | ||
104 | ], | 104 | ], | ||
105 | "relationships_as_object": [], | 105 | "relationships_as_object": [], | ||
106 | "relationships_as_subject": [], | 106 | "relationships_as_subject": [], | ||
107 | "repository_name": "RADAR (Research Data Repository)", | 107 | "repository_name": "RADAR (Research Data Repository)", | ||
108 | "resources": [], | 108 | "resources": [], | ||
109 | "services_used_list": "", | 109 | "services_used_list": "", | ||
110 | "source_metadata_created": "2023", | 110 | "source_metadata_created": "2023", | ||
111 | "source_metadata_modified": "", | 111 | "source_metadata_modified": "", | ||
112 | "state": "active", | 112 | "state": "active", | ||
113 | "subject_areas": [ | 113 | "subject_areas": [ | ||
114 | { | 114 | { | ||
115 | "subject_area_additional": "", | 115 | "subject_area_additional": "", | ||
116 | "subject_area_name": "Engineering" | 116 | "subject_area_name": "Engineering" | ||
117 | } | 117 | } | ||
118 | ], | 118 | ], | ||
119 | "tags": [ | 119 | "tags": [ | ||
120 | { | 120 | { | ||
121 | "display_name": "Roughness", | 121 | "display_name": "Roughness", | ||
122 | "id": "266df38d-165d-4084-a892-bfb358a7fb62", | 122 | "id": "266df38d-165d-4084-a892-bfb358a7fb62", | ||
123 | "name": "Roughness", | 123 | "name": "Roughness", | ||
124 | "state": "active", | 124 | "state": "active", | ||
125 | "vocabulary_id": null | 125 | "vocabulary_id": null | ||
126 | }, | 126 | }, | ||
127 | { | 127 | { | ||
128 | "display_name": "direct numerical simulation", | 128 | "display_name": "direct numerical simulation", | ||
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130 | "name": "direct numerical simulation", | 130 | "name": "direct numerical simulation", | ||
131 | "state": "active", | 131 | "state": "active", | ||
132 | "vocabulary_id": null | 132 | "vocabulary_id": null | ||
133 | }, | 133 | }, | ||
134 | { | 134 | { | ||
135 | "display_name": "heat transfer", | 135 | "display_name": "heat transfer", | ||
136 | "id": "f2865854-7b8e-4e66-bbbb-ba9224029221", | 136 | "id": "f2865854-7b8e-4e66-bbbb-ba9224029221", | ||
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139 | "vocabulary_id": null | 139 | "vocabulary_id": null | ||
140 | }, | 140 | }, | ||
141 | { | 141 | { | ||
142 | "display_name": "minimal channel", | 142 | "display_name": "minimal channel", | ||
143 | "id": "88c21879-0223-4a85-90f2-7c877ca1a2b2", | 143 | "id": "88c21879-0223-4a85-90f2-7c877ca1a2b2", | ||
144 | "name": "minimal channel", | 144 | "name": "minimal channel", | ||
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146 | "vocabulary_id": null | 146 | "vocabulary_id": null | ||
147 | }, | 147 | }, | ||
148 | { | 148 | { | ||
149 | "display_name": "turbulence", | 149 | "display_name": "turbulence", | ||
150 | "id": "9da18eaa-6a77-49ea-8605-040300510c76", | 150 | "id": "9da18eaa-6a77-49ea-8605-040300510c76", | ||
151 | "name": "turbulence", | 151 | "name": "turbulence", | ||
152 | "state": "active", | 152 | "state": "active", | ||
153 | "vocabulary_id": null | 153 | "vocabulary_id": null | ||
154 | } | 154 | } | ||
155 | ], | 155 | ], | ||
156 | "title": "Dataset for study of irregular roughness in minimal | 156 | "title": "Dataset for study of irregular roughness in minimal | ||
157 | channels", | 157 | channels", | ||
158 | "type": "vdataset", | 158 | "type": "vdataset", | ||
159 | "url": "https://doi.org/10.35097/1376" | 159 | "url": "https://doi.org/10.35097/1376" | ||
160 | } | 160 | } |