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f | 1 | { | f | 1 | { |
2 | "author": "Gatti, Davide", | 2 | "author": "Gatti, Davide", | ||
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": "10.35097/1149", | 5 | "doi": "10.35097/1149", | ||
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": "c4fca711-86d9-49b3-a50a-49ace63fe16b", | 10 | "id": "c4fca711-86d9-49b3-a50a-49ace63fe16b", | ||
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": "2023-08-04T08:50:10.818358", | 15 | "metadata_created": "2023-08-04T08:50:10.818358", | ||
t | 16 | "metadata_modified": "2023-08-04T08:50:10.818364", | t | 16 | "metadata_modified": "2023-08-04T08:51:47.878837", |
17 | "name": "rdr-doi-10-35097-1149", | 17 | "name": "rdr-doi-10-35097-1149", | ||
18 | "notes": "Abstract: This database contains the result of the | 18 | "notes": "Abstract: This database contains the result of the | ||
19 | Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 \"Flow | 19 | Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 \"Flow | ||
20 | Control under Constant Power Input (CPI)\". Please refer to the README | 20 | Control under Constant Power Input (CPI)\". Please refer to the README | ||
21 | below for further information.\r\nTechnicalRemarks: | 21 | below for further information.\r\nTechnicalRemarks: | ||
22 | ------------------------------------------------------------------\r\n | 22 | ------------------------------------------------------------------\r\n | ||
23 | STATISTICS OF TURBULENT CHANNELS WITH AND WITHOUT \r\n | 23 | STATISTICS OF TURBULENT CHANNELS WITH AND WITHOUT \r\n | ||
24 | DRAG REDUCTION AT CONSTANT POWER | 24 | DRAG REDUCTION AT CONSTANT POWER | ||
25 | -------------------------------------------------------\r\n\r\n***This | 25 | -------------------------------------------------------\r\n\r\n***This | ||
26 | database features:***\r\n\r\n* high quality turbulent flow statistics | 26 | database features:***\r\n\r\n* high quality turbulent flow statistics | ||
27 | for canonical channel flows driven at\r\n Constant Power Input (CPI), | 27 | for canonical channel flows driven at\r\n Constant Power Input (CPI), | ||
28 | Constant Flow Rate (CFR) and Constant Pressure\r\n Gradient | 28 | Constant Flow Rate (CFR) and Constant Pressure\r\n Gradient | ||
29 | (CPG)\r\n\r\n* global energy budgets and single point Reynolds stress | 29 | (CPG)\r\n\r\n* global energy budgets and single point Reynolds stress | ||
30 | budgets of turbulent \r\n channels driven at CPI in their canonical | 30 | budgets of turbulent \r\n channels driven at CPI in their canonical | ||
31 | state or in a drag-reduced state \r\n achieved via spanwise wall | 31 | state or in a drag-reduced state \r\n achieved via spanwise wall | ||
32 | oscillations or opposition control\r\n\r\n* a comprehensive study of | 32 | oscillations or opposition control\r\n\r\n* a comprehensive study of | ||
33 | several predetermined and feedback active strategies \r\n for | 33 | several predetermined and feedback active strategies \r\n for | ||
34 | turbulent drag reductions in channel, comprising parametric studies of | 34 | turbulent drag reductions in channel, comprising parametric studies of | ||
35 | the \r\n increase in energy efficiency for different values of | 35 | the \r\n increase in energy efficiency for different values of | ||
36 | several control parameters | 36 | several control parameters | ||
37 | --------------------------\r\n\r\n***Acknowledgment:***\r\n\r\nSupport | 37 | --------------------------\r\n\r\n***Acknowledgment:***\r\n\r\nSupport | ||
38 | through the Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 | 38 | through the Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 | ||
39 | is\r\ngratefully acknowledged. Computing time has been provided by the | 39 | is\r\ngratefully acknowledged. Computing time has been provided by the | ||
40 | computational \r\nresource ForHLR Phase I funded by the Ministry of | 40 | computational \r\nresource ForHLR Phase I funded by the Ministry of | ||
41 | Science, Research and the Arts, \r\nBaden-W\u00fcrttemberg and DFG. | 41 | Science, Research and the Arts, \r\nBaden-W\u00fcrttemberg and DFG. | ||
42 | ------------------------------------\r\n\r\n***References:***\r\n\r\n* | 42 | ------------------------------------\r\n\r\n***References:***\r\n\r\n* | ||
43 | D. Gatti, A. Cimarelli, Y. Hasegawa, B. Frohnapfel & M. Quadrio, \r\n | 43 | D. Gatti, A. Cimarelli, Y. Hasegawa, B. Frohnapfel & M. Quadrio, \r\n | ||
44 | (2018) \"Global energy fluxes in turbulent channels with flow \r\n | 44 | (2018) \"Global energy fluxes in turbulent channels with flow \r\n | ||
45 | control\", Journal of Fluid Mechanics, Vol. 857, pag. 345-373, \r\n | 45 | control\", Journal of Fluid Mechanics, Vol. 857, pag. 345-373, \r\n | ||
46 | doi: doi.org/10.1017/jfm.2018.749\r\n\r\n* M. Quadrio, B. Frohnapfel & | 46 | doi: doi.org/10.1017/jfm.2018.749\r\n\r\n* M. Quadrio, B. Frohnapfel & | ||
47 | Y. Hasegawa, (2016) \"Does the choice \r\n of the forcing term affect | 47 | Y. Hasegawa, (2016) \"Does the choice \r\n of the forcing term affect | ||
48 | flow statistics in DNS of turbulent \r\n channel flows?\", European | 48 | flow statistics in DNS of turbulent \r\n channel flows?\", European | ||
49 | Journal of Mechanics B. / Fluids, Vol. \r\n 55, pag. 286-293, doi: | 49 | Journal of Mechanics B. / Fluids, Vol. \r\n 55, pag. 286-293, doi: | ||
50 | doi.org/10.1016/j.euromechflu.2015\r\n \r\n* Y. Hasegawa, M. Quadrio | 50 | doi.org/10.1016/j.euromechflu.2015\r\n \r\n* Y. Hasegawa, M. Quadrio | ||
51 | & B. Frohnapfel, (2014) \"Numerical simulation \r\n of turbulent duct | 51 | & B. Frohnapfel, (2014) \"Numerical simulation \r\n of turbulent duct | ||
52 | flows with constant power input\", Journal of \r\n Fluid Mechanics, | 52 | flows with constant power input\", Journal of \r\n Fluid Mechanics, | ||
53 | Vol. 750, pag. 191-209, doi: doi.org/10.1017/jfm.2014.269\r\n\r\n* B. | 53 | Vol. 750, pag. 191-209, doi: doi.org/10.1017/jfm.2014.269\r\n\r\n* B. | ||
54 | Frohnapfel, Y. Hasegawa & M. Quadrio, (2012) \"Money versus time: \r\n | 54 | Frohnapfel, Y. Hasegawa & M. Quadrio, (2012) \"Money versus time: \r\n | ||
55 | evaluation of flow control in terms of energy consumption and \r\n | 55 | evaluation of flow control in terms of energy consumption and \r\n | ||
56 | convenience\", Journal of Fluid Mechanics, Vol. 700, pag. 406-418\r\n | 56 | convenience\", Journal of Fluid Mechanics, Vol. 700, pag. 406-418\r\n | ||
57 | doi: | 57 | doi: | ||
58 | --------------------------------------------\r\n\r\n***Content:***\r\n | 58 | --------------------------------------------\r\n\r\n***Content:***\r\n | ||
59 | \r\nreference-stats --> statistics of turbulent channels at | 59 | \r\nreference-stats --> statistics of turbulent channels at | ||
60 | Retau=200, driven\r\n at Constant Flow | 60 | Retau=200, driven\r\n at Constant Flow | ||
61 | Rate (CFR), Constant Pressure Gradient\r\n | 61 | Rate (CFR), Constant Pressure Gradient\r\n | ||
62 | (CPG) and Constant Power Input (CPI). \r\n\r\nenergy-budgets | 62 | (CPG) and Constant Power Input (CPI). \r\n\r\nenergy-budgets | ||
63 | --> global energy budgets and single-point Reynolds \r\n | 63 | --> global energy budgets and single-point Reynolds \r\n | ||
64 | shear stress budgets of turbulent channels driven at \r\n | 64 | shear stress budgets of turbulent channels driven at \r\n | ||
65 | Constant Power Input (CPI) with drag reduction \r\n | 65 | Constant Power Input (CPI) with drag reduction \r\n | ||
66 | achieved via spanwise wall oscillations (Quadrio & \r\n | 66 | achieved via spanwise wall oscillations (Quadrio & \r\n | ||
67 | Ricco, JFM 2004) or opposition control (Choi, Moin &\r\n | 67 | Ricco, JFM 2004) or opposition control (Choi, Moin &\r\n | ||
68 | Kim, JFM 1994).\r\n\r\nflow-control-strategies --> parametric studies | 68 | Kim, JFM 1994).\r\n\r\nflow-control-strategies --> parametric studies | ||
69 | for finding the maximum theoretical\r\n | 69 | for finding the maximum theoretical\r\n | ||
70 | efficiency of following strategies for turbulent \r\n | 70 | efficiency of following strategies for turbulent \r\n | ||
71 | drag reduction at Constant Power Input (CPI):\r\n | 71 | drag reduction at Constant Power Input (CPI):\r\n | ||
72 | StTW-fz: streamwise-travelling waves of spanwise body force\r\n | 72 | StTW-fz: streamwise-travelling waves of spanwise body force\r\n | ||
73 | StTW-w : streamwise-travelling waves of spanwise wall velocity\r\n | 73 | StTW-w : streamwise-travelling waves of spanwise wall velocity\r\n | ||
74 | SpTW-fz: spanwise-travelling waves of spanwise body force\r\n | 74 | SpTW-fz: spanwise-travelling waves of spanwise body force\r\n | ||
75 | SpTW-w : spanwise-travelling waves of spanwise wall velocity\r\n | 75 | SpTW-w : spanwise-travelling waves of spanwise wall velocity\r\n | ||
76 | OC-v: opposition control based upon wall-normal velocity\r\n | 76 | OC-v: opposition control based upon wall-normal velocity\r\n | ||
77 | BF-w: near-wall body force damping of spanwise velocity | 77 | BF-w: near-wall body force damping of spanwise velocity | ||
78 | fluctuations\r\n\r\nRefer to the readme files in each subdirectory for | 78 | fluctuations\r\n\r\nRefer to the readme files in each subdirectory for | ||
79 | further information on each \r\ndatabase. | 79 | further information on each \r\ndatabase. | ||
80 | --------------------------------\r\n\r\nChangelog:\r\n\r\nApr-23-2018: | 80 | --------------------------------\r\n\r\nChangelog:\r\n\r\nApr-23-2018: | ||
81 | database | 81 | database | ||
82 | --------------------------------------------------------------\r\n\r\n | 82 | --------------------------------------------------------------\r\n\r\n | ||
83 | davide.gatti@kit.edu\r\n | 83 | davide.gatti@kit.edu\r\n | ||
84 | bettina.frohnapfel@kit.edu\r\n | 84 | bettina.frohnapfel@kit.edu\r\n | ||
85 | maurizio.quadrio@polimi.it\r\n | 85 | maurizio.quadrio@polimi.it\r\n | ||
86 | ysk@iis.u-tokyo.ac.jp\r\n | 86 | ysk@iis.u-tokyo.ac.jp\r\n | ||
87 | andrea.cimarelli@unimore.it", | 87 | andrea.cimarelli@unimore.it", | ||
88 | "num_resources": 0, | 88 | "num_resources": 0, | ||
89 | "num_tags": 1, | 89 | "num_tags": 1, | ||
90 | "orcid": "", | 90 | "orcid": "", | ||
91 | "organization": { | 91 | "organization": { | ||
92 | "approval_status": "approved", | 92 | "approval_status": "approved", | ||
93 | "created": "2023-01-12T13:30:23.238233", | 93 | "created": "2023-01-12T13:30:23.238233", | ||
94 | "description": "RADAR (Research Data Repository) is a | 94 | "description": "RADAR (Research Data Repository) is a | ||
95 | cross-disciplinary repository for archiving and publishing research | 95 | cross-disciplinary repository for archiving and publishing research | ||
96 | data from completed scientific studies and projects. The focus is on | 96 | data from completed scientific studies and projects. The focus is on | ||
97 | research data from subjects that do not yet have their own | 97 | research data from subjects that do not yet have their own | ||
98 | discipline-specific infrastructures for research data management. ", | 98 | discipline-specific infrastructures for research data management. ", | ||
99 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 99 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
100 | "image_url": "radar-logo.svg", | 100 | "image_url": "radar-logo.svg", | ||
101 | "is_organization": true, | 101 | "is_organization": true, | ||
102 | "name": "radar", | 102 | "name": "radar", | ||
103 | "state": "active", | 103 | "state": "active", | ||
104 | "title": "RADAR", | 104 | "title": "RADAR", | ||
105 | "type": "organization" | 105 | "type": "organization" | ||
106 | }, | 106 | }, | ||
107 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 107 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
108 | "private": false, | 108 | "private": false, | ||
109 | "production_year": "2018", | 109 | "production_year": "2018", | ||
110 | "publication_year": "2023", | 110 | "publication_year": "2023", | ||
111 | "publishers": [ | 111 | "publishers": [ | ||
112 | { | 112 | { | ||
113 | "publisher": "Karlsruhe Institute of Technology" | 113 | "publisher": "Karlsruhe Institute of Technology" | ||
114 | } | 114 | } | ||
115 | ], | 115 | ], | ||
116 | "relationships_as_object": [], | 116 | "relationships_as_object": [], | ||
117 | "relationships_as_subject": [], | 117 | "relationships_as_subject": [], | ||
118 | "repository_name": "RADAR (Research Data Repository)", | 118 | "repository_name": "RADAR (Research Data Repository)", | ||
119 | "resources": [], | 119 | "resources": [], | ||
120 | "services_used_list": "", | 120 | "services_used_list": "", | ||
121 | "source_metadata_created": "2023", | 121 | "source_metadata_created": "2023", | ||
122 | "source_metadata_modified": "", | 122 | "source_metadata_modified": "", | ||
123 | "state": "active", | 123 | "state": "active", | ||
124 | "subject_areas": [ | 124 | "subject_areas": [ | ||
125 | { | 125 | { | ||
126 | "subject_area_additional": "", | 126 | "subject_area_additional": "", | ||
127 | "subject_area_name": "Engineering" | 127 | "subject_area_name": "Engineering" | ||
128 | } | 128 | } | ||
129 | ], | 129 | ], | ||
130 | "tags": [ | 130 | "tags": [ | ||
131 | { | 131 | { | ||
132 | "display_name": "TurbulenceTurbulent flowConstant Power | 132 | "display_name": "TurbulenceTurbulent flowConstant Power | ||
133 | InputDrag Reduction", | 133 | InputDrag Reduction", | ||
134 | "id": "19157ae8-f135-47d1-924c-94fd885bccce", | 134 | "id": "19157ae8-f135-47d1-924c-94fd885bccce", | ||
135 | "name": "TurbulenceTurbulent flowConstant Power InputDrag | 135 | "name": "TurbulenceTurbulent flowConstant Power InputDrag | ||
136 | Reduction", | 136 | Reduction", | ||
137 | "state": "active", | 137 | "state": "active", | ||
138 | "vocabulary_id": null | 138 | "vocabulary_id": null | ||
139 | } | 139 | } | ||
140 | ], | 140 | ], | ||
141 | "title": "Turbulent flow statistics at constant power input (cpi) | 141 | "title": "Turbulent flow statistics at constant power input (cpi) | ||
142 | with and without drag reduction", | 142 | with and without drag reduction", | ||
143 | "type": "vdataset", | 143 | "type": "vdataset", | ||
144 | "url": "https://doi.org/10.35097/1149" | 144 | "url": "https://doi.org/10.35097/1149" | ||
145 | } | 145 | } |