4.7 Article

Study on the dependence with the filling level of the sloshing wave pattern in a rectangular tank

期刊

PHYSICS OF FLUIDS
卷 32, 期 1, 页码 -

出版社

AMER INST PHYSICS
DOI: 10.1063/1.5133420

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资金

  1. Chilean Council for Scientific and Technological Research (CONICYT) (FONDECYT) [1170620]
  2. Scientific Research Projects Management Department of the Vice Presidency of Research, Development and Innovation (DICYT-VRID) of the Universidad de Santiago de Chile [Proyecto Basal USA1555-Vridei O51716CSSSA]
  3. CONICYT-PCHA Doctorado Nacional [2016-21160573]

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This work presents a study of the influence of the filling level on the wave pattern during a sloshing problem. To this end, a rectangular tank of aspect ratio 2:1 is mounted on a shake table subject to controlled external motions. A frequency sweep analysis is performed nearest to the primary resonance frequency using two different amplitudes of imposed motion and different water depths. The wave evolution is registered at certain control points. In particular, this work is devoted to identifying the effect of the filling level on the dynamics of the wave patterns, emphasizing the nonlinearities of the free surface and their dependence on the water depth. The free surface measurements are compared with those obtained from a fixed mesh finite element simulation of the Navier-Stokes equations. The free surface is tracked using a Lagrangian technique. The effect of the bottom boundary conditions on the wave pattern is also evaluated from these simulations. From the experiments, it is confirmed that maximum and minimum wave heights do not change for larger water depth, i.e., when deep water conditions are fulfilled. This fact is also reflected by the numerical results. The computed wave evolution satisfactorily matches the experimental data. In addition, analytical solutions obtained using a potential flow approach are also evaluated. They fail in the description of nonlinear responses, but their coefficients can be numerically or experimentally characterized to fit more realistic solutions.

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