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Model for Shock Wave Chaos

Authors: Kasimov, Aslan; Faria, Luiz; Rosales, Rodolfo;

Model for Shock Wave Chaos

Abstract

We propose the following model equation: \[u_{t}+1/2(u^{2}-uu_{s})_{x}=f(x,u_{s}), \] that predicts chaotic shock waves. It is given on the half-line $x<0$ and the shock is located at $x=0$ for any $t\ge0$. Here $u_{s}(t)$ is the shock state and the source term $f$ is assumed to satisfy certain integrability constraints as explained in the main text. We demonstrate that this simple equation reproduces many of the properties of detonations in gaseous mixtures, which one finds by solving the reactive Euler equations: existence of steady traveling-wave solutions and their instability, a cascade of period-doubling bifurcations, onset of chaos, and shock formation in the reaction zone.

4 pages, 4 figures

Keywords

Fluid Dynamics (physics.flu-dyn), [INFO.INFO-CE] Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], FOS: Physical sciences, Physics - Fluid Dynamics, Dynamical Systems (math.DS), [MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA], Nonlinear Sciences - Chaotic Dynamics, Mathematics - Analysis of PDEs, [INFO.INFO-NA] Computer Science [cs]/Numerical Analysis [cs.NA], FOS: Mathematics, Mathematics - Dynamical Systems, Chaotic Dynamics (nlin.CD), Analysis of PDEs (math.AP)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
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