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Modelling of interfaces separating compressible fluids and mixtures of materials. Multiphase shock relations and extra physics. Erwin FRANQUET and Richard SAUREL Polytech Marseille, UMR CNRS 6595 - IUSTI. Baer & Nunziato (1986). and. Saurel & al. (2003) Chinnayya & al (2004).
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Modelling of interfaces separating compressible fluids and mixtures of materials Multiphase shock relations and extra physics Erwin FRANQUET and Richard SAUREL Polytech Marseille, UMR CNRS 6595 - IUSTI
Baer & Nunziato (1986) and Saurel & al. (2003) Chinnayya & al (2004) A Multiphase model with 7 equationsFor solving interfaces problems and shocks into mixtures
When dealing with interfaces and mixtures with stiff mechanical relaxation the 7 equations model can be reduced to a 5 equations model Infinite drag coefficient Infinite pressure relaxation parameter • Kapila & al (2001) Reduction to a 5 equations model Not conservative
To deal with realistic applicationsshock relations are mandatory • 7 unknowns : α1, Y1, ρ, u, P, e, σ • 4 conservation laws : • Mixture EOS : • One of the variable behind the shock is given (often σ or P) An extra relation is needed : jump of volume fraction or any other thermodynamic variable How to determine it ?
Informations from the resolution of the 7 equations model Impact of an epoxy-spinel mixture by a piston at several velocities Fully dispersed waves Why are the waves dispersed in the mixture ?
W1* W10 σ1 W1L W10 (u+c)2 W2* W2L W20 W20 Dispersion mechanism W10 W20
W1* W10 σ1 ’ σ1 W2* W2R W20 W20 Dispersion mechanism W1R W1L W10 W2L W20
The two-phase shock is smooth • shock = succession of equilibrium states (P1=P2 and u1=u2) • We can use the 7 equations model in the limit : • That is easier to integrate between pre and post shock states. • In that case, the energy equations reduce to : • And can be integrated as : and As P1=P2 at each point, we have : The mixture energy jump is known without ambiguity : To fulfill the mixture energy jump each phase must obey : Saurel & al (2005) Consequences
Some properties • Identifies with the Hugoniot adiabat of each phase • Symmetric and conservative formulation • Entropy inequality is fulfilled • Single phase limit is recovered • Validated for weak and strong shocks for more than 100 experimental data • The mixture Hugoniot curve is tangent to mixture isentrope
Shock relations validation Epoxy-Spinel mixture Paraffine-Enstatite mixture Epoxy-Periclase mixture Uranium-Molybdene mixture
The second difficulty comes from the average of the volume fraction inside computational cells : • It is not a conservative variable • It necessitates the building of a new numerical method The reduced model (with 5 equations) is now closed + Mixture EOS + Rankine-Hugoniot relations • Consequences : • A Riemann solver can be built • This one can be used to solve numerically the 5 equations model
t u*i-1/2 S+i-1/2 S-i+1/2 u*i+1/2 t n+1 Volume fractions definition Euler equations context xi-1/2 xi+1/2 x V1 V2 V3 u1, P1, e1 u2, P2, e2 u3, P3, e3 A new projection methodSaurel & al (2005)
Conservation and entropy inequality are preserved if : This ODE system is solved in each computational cell so as to reach the mechanical equilibrium asymptotic state ( ) It can be written as an algebraic system solved with the Newton method. Relaxation system
Comparison with conventional methods • Conventional Godunov average supposes a single pressure, velocity andtemperature in the cell. In the new method, we assume only mechanical equilibrium and not temperature equilibrium. • It guarantees conservation and volume fraction positivity • The method does not use any flux and is valid for non conservative equations • In the case of the ideal gas and the stiffened gas EOS with the Euler equations both methods are equivalent. Results are different for more complicated EOS (Mie-Grüneisen for example) • The new method gives a cure to anomalous computation of some basic problems: - Sliding lines - Propagation of a density discontinuity in an uniform flow with Mie Grüneisen EOS. • It can be used in Lagrange or Lagrange + remap codes.
P = PCJ = 2 1010 Pa u = 1000 m/s ρ = ρCJ = 2182 kg/m3 P = PCJ = 2 1010 Pa u = 1000 m/s ρ = 100 kg/m3 0 0,5 1 Propagation of a density discontinuity in an uniform flow with JWL EOS
P = PCJ = 2 1010 Pa ρ = ρCJ = 2182 kg/m3 P = 2 108 Pa ρ = 100 kg/m3 0 0,5 1 • The Godunov method fails in these conditions Shock tube problem in extreme conditionsEuler equations and JWL EOS
P = 109 Pa αwater = 1-10-8 P = 105 Pa αair = 1-10-8 0 0,8 1 ρwater = 1000 kg/m3 ρair = 50 kg/m3 Stiffened Gas EOS Shock tube problem with almost pure fluidsLiquid-Gas interface with the 5 equations model
P = 1010 Pa αepoxy = 0,5954 P = 105 Pa αepoxy = 0,5954 0 0,6 1 ρepoxy = 1185 kg/m3 ρspinel = 3622 kg/m3 Stiffened Gas EOS Shock tube problem with mixtures of materialsEpoxy-Spinel Mixture
Piston Epoxy-Spinel Mixture P = 105 Pa αepoxy = 0,5954 ρepoxy = 1185 kg/m3 ρspinel = 3622 kg/m3 Up New method 7 equations model Mixture Hugoniot testsComparison with experiments and the 7 equations model
Air (Ideal Gas EOS) Copper (Stiffened Gas EOS) U = 5000 m/s TNT (JWL EOS) RDX (Mie-Grüneisen EOS) 2D impact of a piston on a solid stucture