SPSS: A Data Mining Tool for Analyzing the Results of Flow Induced Vibration Excitation in an Elastically Mounted Circular Cylinder at Different Interference Conditions
s: In this article, results of an analysis is investigated by using a data mining tool called ‘SPSS’, to identify the flow characteristics and response of an elastically mounted circular cylinder at different interference conditions. Numerical investigation is performed on a range of longitudinal ga...
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Veröffentlicht in: | Applied Mechanics and Materials 2014-07, Vol.592-594 (Dynamics of Machines and Mechanisms, Industrial Research), p.2086-2090 |
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Sprache: | eng |
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Zusammenfassung: | s: In this article, results of an analysis is investigated by using a data mining tool called ‘SPSS’, to identify the flow characteristics and response of an elastically mounted circular cylinder at different interference conditions. Numerical investigation is performed on a range of longitudinal gap ratios (2.0 ≤ L/D ≤ 4) and transverse gap ratios (2.0 ≤ T/D ≤ 4) between the cylinders arranged in tandem and staggered configuration. The effects of the interference cylinders were analyzed at specific relative positions were observed and it has been identified that the parameters, reduced velocity (U/fD) and relative positions were significantly influences the flow induced vibration excitation. Hence, in this article, an accent is laid on the efficient of ‘SPSS Tool’ for analyzing the results of flow induced vibration excitation in an elastically mounted circular cylinder at different interference conditions. From the results, it is observed that, reduced velocity must be lesser than the threshold value and also the observed that the relative positions (spacing ratios) is playing a significant role when compared to the reduced velocity. Further, the results shows that, at the fluid flow characteristics of elastically mounted circular cylinder in staggered arrangement with two interfering cylinders in upstream conditions the oscillatory amplitude ratio (A/D=0.250) is found to be minimum. |
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ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.592-594.2086 |