126,521 to 126,530 of 127,081 Results
Feb 26, 2020Publications
This dataverse includes the micro-XRCT data sets which are investigated and described in: Schepp, L.L., Ahrens, B., Balcewicz, M., Duda, M., Nehler, M., Osorno, M., Uribe, D., Steeb, S., Nigon, B., Stöckhert, F., Swanson, D.A., Siegert, M., Gurris, M. & Saenger, E.H. (2020). Digital rock physics and laboratory considerations on a high-porosity volc... |
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Feb 20, 2020PN 5-6
This dataverse contains dataset and codes for the submitted publication: Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W. (2020): Physics-inspired Artificial Neural Network structure improves prediction: Application to a Thermochemical Energy Storage System |
Feb 20, 2020PN 5
SimTech Project PN 5-6 "Physics-informed ANNs for dynamic, distributed and stochastic systems" |
Feb 14, 2020 - INNWIND
Lemmer, Frank; Azcona, José; Bredmose, Henrik; Borisade, Friedemann; Campagnolo, Filippo; Heilskov, Nicolai Francis; Kaufer, Daniel; Kim, Yusik; Klein, Levin; Koch, Christian; Lutz, Thorsten; Manjock, Andreas; Manolas, Dimitris; Robertson, Amy; Jonkman, Jason; Wendt, Fabian; Vittori, Felipe; Voutsinas, Spyros, 2020, "INNWIND.EU scaled experiments of the OC4-DeepCwind semi-submersible", https://doi.org/10.18419/DARUS-513, DaRUS, V1
A floating wind test campaign was conducted within INNWIND.EU at LHEEA Nantes/France in 2014. The tested model is the OC4-DeepCwind semi-submersible in a scale of 1:45. The scaled 5MW rotor has re-designed blades with large chord to yield the Froude-scaled thrust force. In order to test also a 10MW system, wind/wave conditions of a scaling ratio of... |
MS Excel Spreadsheet - 41.1 KB -
MD5: 67097f041053730b9a66767034d5379e
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MATLAB Data - 63.8 MB -
MD5: 98b1582970124a5300f369c379b7d0b1
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MATLAB Data - 64.3 MB -
MD5: af2870aaa2f8a0456c8d8efa996ace38
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