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Early Time Modifications to the Buoyancy-Drag Model for Richtmyer–Meshkov Mixing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The Buoyancy-Drag model is a simple model, based on ordinary differential equations, for estimating the growth in the width of a turbulent mixing zone at an interface between fluids of different densities due to Richtmyer–Meshkov ...
A Comparison of Three Approaches to Compute the Effective Reynolds Number of the Implicit Large Eddy Simulations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The implicit largeeddy simulation (ILES) has been utilized as an effective approach for calculating many complex flows at high Reynolds number flows. Richtmyer–Meshkov instability (RMI) induced flow can be viewed as a ...
Dependence of Enstrophy Transport and Mixed Mass on Dimensionality and Initial Conditions in the Richtmyer–Meshkov Instability Induced Flows1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a comparative study of the enstrophy budget and mixed mass between two- and three-dimensional flows induced by Richtmyer–Meshkov instability (RMI). Specifically, the individual contributions to the ...
Special Section on the 15th International Workshop on the Physics of Compressible Turbulent Mixing
Publisher: The American Society of Mechanical Engineers (ASME)
An Investigation Into Nonlinear Growth Rate of Two Dimensional and Three Dimensional Single Mode Richtmyer–Meshkov Instability Using an Arbitrary Lagrangian–Eulerian Algorithm
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents an investigation into the use of a moving mesh algorithm for solving unsteady turbulent mixing problems. The growth of a shock induced mixing zone following reshock, using an initial setup comparable ...
A Computational Model for the Dynamics of Cerebrospinal Fluid in the Spinal Subarachnoid Space
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Global models for the dynamics of coupled fluid compartments of the central nervous system (CNS) require simplified representations of the individual components which are both accurate and computationally efficient. This ...