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10 results for “Unsteady flow”

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zenodo40/100

Data and MATLAB Code for the paper entitled "A modified Chezy formula for one-dimensional unsteady frictional resistance in open channel flow"

<p>This link includes&nbsp;the data and MATLAB code files for the research paper entitled &quot;A modified Chezy formula for one-dimensional unsteady frictional resistance in open channel flow&quot; by Zhou, J.W.; Bro, W.M.; Tick*, G.R.; Mofatakari, H.; Li, Y.; and Cheng, L., which has been submitted to the Journal of Fluids Engineering. These files are edited under the GB18030 character set standard.</p>

opencc-by-4.0Dec 2020View details →
zenodo40/100

Investigating the Unsteady Dynamics of a Multi-Jet Impingement Cooling Flow Using Large Eddy Simulation - Promotional Video and Image

<p>Video: Volume rendering of temperature field obtained from a large eddy simulation of 9 inline impinging jets in a narrow channel.</p> <p>Image: Turbulent structures as isosurface of Q-criterion with an illustration of laser sheet used for PIV measurement.</p> <p>The results were presented at the ASME Turbo Expo 2024 (paper number GT2024-122465) and published in the ASME Journal of Turbomachinery (<a href="https://doi.org/10.1115/1.4066508">https://doi.org/10.1115/1.4066508</a>). The accepted manuscript of the paper is available under <a href="https://elib.dlr.de/207257/">https://elib.dlr.de/207257/</a>.</p> <p>The simulations were performed on DLR's HPC system&nbsp;<a href="https://www.dlr.de/en/research-and-transfer/research-infrastructure/hpc-cluster/cara">CARA</a> within the DLR project InnoCool.</p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

Laboratory data - physical modelling of gravel bed rivers under unsteady flow conditions

<p>Sediment transport and topography data from laboratory experiments under unsteady flow conditions.</p> <p>Data supporting the manuscript:<br> Redolfi, M., Bertoldi, W., Tubino, M., &amp; Welber, M. (2018). Bed load variability and morphology of gravel bed rivers<br> subject to unsteady flow: A laboratory investigation. Water Resources Research, 54, 842&ndash;862. https://doi.org/<br> 10.1002/2017WR021143<br> Details about the physical model and the experimental procedure can be found in the paper.</p>

opencc-by-4.0Dec 2017View details →
zenodo36/100

Dataset from : Unsteady Analysis of a Pulsating Alternate Flow Pattern in a Radial Vaned Diffuser.

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opencc-by-4.0Dec 2023View details →
zenodo36/100

Characterisation of unsteady flow in a 3D-printed Schwarz Diamond monolith using magnetic resonance velocimetry

<p>This data set contains the MRI velocity images presented in the article: Clarke, D, Galvosas, P, Holland, DJ. Characterization of unsteady flow in a 3D-printed Schwarz Diamond monolith using magnetic resonance velocimetry. <em>AIChE J</em>. 2023;e18097. doi:<a href="https://doi.org/10.1002/aic.18097">10.1002/aic.18097</a></p> <p>Images are in the .vtk format and may be viewed using suitable software (e.g. ParaView).</p> <p>*Description edited on 2023/04//21 to include eLocator.</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

Turbulent and laminar flow in karst conduits under unsteady flow conditions – interpretation of pumping tests by discrete conduit-continuum modeling

<p>Due to the duality in terms of (1) the groundwater flow field and (2) the discharge conditions, flow patterns of karst aquifer systems are complex. Estimated aquifer parameters may differ by several orders of magnitude from local (borehole) to regional (catchment) scale because of the large aquifer heterogeneity and anisotropy. One approach to deal with this scale problem in karst aquifers is the application of large-scale experiments such as long-term high-abstraction conduit pumping tests, stimulating measurable groundwater drawdown in both, the karst conduit system as well as the fissured and fractured aquifer matrix. The numerical discrete conduit-continuum modeling approach MODFLOW-2005 Conduit Flow Process Mode1 (CFPM1) is employed to simulate laminar and non-laminar conduit flow, induced by large-scale experiments, in combination with Darcian matrix flow. Effects of large-scale experiments were simulated for idealized settings. Subsequently, diagnostic plots and analyses of different fluxes are applied to interpret differences in the simulated conduit drawdown and general flow patterns.</p> <p>The main focus is set on the question to which extent different conduit flow regimes will affect the conduit as well as the matrix drawdown depending on the hydraulic properties of the conduit system, i.e. conduit diameter and relative roughness In this context, CFPM1 is applied to investigate the significance of turbulent flow consideration for the simulation of karst conduit flow. This work quantifies the relative error that results from assuming laminar conduit flow for the interpretation of a synthetic large-scale pumping test in karst.</p> <p>https://doi.org/10.1002/2017WR020658</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2018View details →
zenodo32/100

High-speed camera recordings of unsteady flow in a multistage helico-axial pump

<p>High-speed camera recordings of the&nbsp;unsteady flow in a multistage helico-axial pump. Covers a&nbsp;range of relative flow rates from 133 to 45% of the best efficiency point. A test rig with a transparent pump casing, comprising three low-specific speed compression stages was commissioned in a flow loop which allows a variety of pump inlet conditions with water and nitrogen as process fluids. A small amount of nitrogen was injected at the inlet and used as tracers in the flow. Recordings focus on the second stage of the pump.</p>

opencc-by-nc-4.0Apr 2023View details →
zenodo28/100

Raw data for "Unsteady secondary flow structure at a large river confluence"

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opencc-by-4.0Feb 2024View details →
zenodo20/100

Influence of buoyancy on the unsteady flow structure of sphere dropped into water

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opencc-by-4.0Jan 2024View details →
zenodo8/100

Data for Hierarchical Controls of Mixed Sediment Transport in a Series of Unsteady Flows

<p>The dataset contain three files namely, cs_all, fluxes and case study data.&nbsp;</p> <p>&#39;cs_all&#39; contains the cross-section data presented in the associated manuscript for all simulation cases. This data was used in the following figures in the associated manuscript: Figures 6-10, 15C</p> <p>&#39;fluxes&#39; contains the flux data for the flux surface mentioned in the associated manuscript.&nbsp;This data was used in the following figures in the associated manuscript: Figures 1,2.</p> <p>&#39;case study data&#39;&nbsp;contains the rainfall, wind speed and backscatter data in different sheets. The bed grain size distributions are also given for the floodplain.&nbsp;This data was used in the following figures in the associated manuscript: Figures 11G, 14, 15A</p>

restrictedOct 2023View details →

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