Published March 2000 | Version Published + Submitted
Journal Article Open

Shock interactions with heavy gaseous elliptic cylinders: Two leeward-side shock competition modes and a heuristic model for interfacial circulation deposition at early times

  • 1. ROR icon Rutgers, The State University of New Jersey
  • 2. ROR icon California Institute of Technology

Abstract

We identify two different modes, types I and II, of the interaction for planar shocks accelerating heavy prolate gaseous ellipses. These modes arise from different interactions of the incident shock (IS) and transmitted shock (TS) on the leeward side of the ellipse. A time ratio t_T/t_I(M,η,λ,γ_0,γ_b), which characterizes the mode of interaction, is derived heuristically. Here, the principal parameters governing the interaction are the Mach number of the shock (M), the ratio of the density of the ellipse to the ambient gas density, (η>1), γ_0, γ_b (the ratios of specific heats of the two gases), λ (the aspect ratio). Salient events in shock–ellipse interactions are identified and correlated with their signatures in circulation budgets and on-axis space–time pressure diagrams. The two modes yield different mechanisms of the baroclinic vorticity generation. We present a heuristic model for the net baroclinic circulation generated on the interface at the end of the early-time phase by both the IS and TS and validate the model via numerical simulations of the Euler equations. In the range 1.2⩽M⩽3.5, 1.54⩽η⩽5.04, and λ=1.5 and 3.0, our model predicts the baroclinic circulation on the interface within a band of ±10% in comparison to converged numerical simulations.

Additional Information

© 2000 American Institute of Physics. (Received 17 August 1998; accepted 15 November 1999) The computations were done on the T3E at the Pittsburgh Supercomputing Center and the Origin2000 at NCSA, University of Illinois, Urbana–Champaign. A portion of this work was done in Vizlab, part of which is supported by CAIP, Rutgers University. Ravi Samtaney gratefully acknowledges the support of the Data Analysis Group, NAS Division at the NASA Ames Research Center. The work was supported by DOE under grants from Dr. D. Hitchcock and Dr. F. Howes.

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76146
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CaltechAUTHORS:20170408-161231294

Funding

Department of Energy (DOE)

Dates

Created
2017-06-22
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Updated
2021-11-15
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