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Flow patterns inside a turbine type flowmeterFerreira, V. C. S. January 1988 (has links)
No description available.
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The development of particle image velocimetry for water wave studiesGray, Callum January 1989 (has links)
No description available.
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Particle image velocimetry : data reduction using optical correlationCoupland, Jeremy January 1990 (has links)
No description available.
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Scrutinization Of Flow Characteristics Through OrificesYildirim, Tugce 01 September 2010 (has links) (PDF)
Orifices are essential devices for measurement and control of flow. It is important to define the flow field and understand the flow characteristics behind an orifice for the sake of reliability measures in many hydraulic engineering applications. Since analytical and experimental solutions are restricted, a numerical solution is obtained using volume of fluid (VOF) method with the CFD solver, FLUENT, for sharp crested orifices, orifice tubes and slots. The results are compared to the available data in the literature / also a large spectrum of data collection has been achieved.
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Management of multidimensional aggregates for efficient online analytical processingLehner, Wolfgang, Albrecht, J., Bauer, A., Deyerling, O., Günzel, H., Hummer, W., Schlesinger, J. 02 June 2022 (has links)
Proper management of multidimensional aggregates is a fundamental prerequisite for efficient OLAP. The experimental OLAP server CUBESTAR whose concepts are described, was designed exactly for that purpose. All logical query processing is based solely on a specific algebra for multidimensional data. However, a relational database system is used for the physical storage of the data. Therefore, in popular terms, CUBESTAR can be classified as a ROLAP system. In comparison to commercially available systems, CUBESTAR is superior in two aspects. First, the implemented multidimensional data model allows more adequate modeling of hierarchical dimensions, because properties which apply only to certain dimensional elements can be modeled context-sensitively. This fact is reflected by an extended star schema on the relational side. Second, CUBESTAR supports multidimensional query optimization by caching multidimensional aggregates. Since summary tables are not created in advance but as needed, hot spots can be adequately represented. The dynamic and partition-oriented caching method allows cost reductions of up to 60% with space requirements of less than 10% of the size of the fact table.
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