Abstract
In this work, we develop the discontinuous Galerkin method to simulate 1-D cylindrical and spherical compressible multi-medium flows with an immiscible interface. To treat the interface with higher-order accuracy, the modified ghost fluid method is extended to a second-order version with source terms, in which linearly distributed ghost fluid states are constructed. A multi-medium generalized Riemann problem with the geometrical source is constructed to predict the states and the spatial derivatives at the interface. The predicted interface states and spatial derivatives are then employed to define the linearly distributed ghost fluid states. Theoretical analysis shows that the proposed second-order modified ghost fluid method (2nd-MGFM) can effectively eliminate the first order major error term occurring to the interface and accumulating with time when there is interface acceleration. Numerical results exhibit the proposed 2nd-MGFM can suppress overheating at the accelerating wall and pressure dislocation at the accelerating interface very well.
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Acknowledgements
This work is supported under the Science Challenge Project (No. JCKY2016212A502), the National Natural Science Foundation of China (Nos. U1730118 and 12101029) and Postdoctoral Science Foundation of China (No. 2020M680283).
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Appendices
Appendix
Basic Differential Relations for Multi-medium GRP with the Geometrical Source
According to the Riemann invariants \(\psi \) and \(\phi \) corresponding to \(\lambda _{-}=u-c\) and \(\lambda _{+}=u+c\) waves as Fig. 11, we have
Combining with (4), we obtain
Thus, for the state ahead of the left characteristic waves \(\lambda _{-}=u-c\) and the state ahead of the right characteristic waves \(\lambda _{+}=u+c\), with simple manipulation,
which is only related to the initial value \(({{{\varvec{U}}}_{L}},{{{\varvec{U}}}^{\prime }_{L}}, {{{\varvec{U}}}_{R}}\), \({{{\varvec{U}}}^{\prime }_{R}})\). According to boundary conditions Theorem 1, there is
For a general EOS \(e=e(\rho ,p)\), (5) can be written as
In particular, for the EOS (2), (5) can be written as
As described, we can get instantaneous predicted state \({\varvec{U}}({{\rho }_{1*}},{{u}_{1*}},{{p}_{1*}})\), \({\varvec{U}}({{\rho }_{2*}},{{u}_{2*}},{{p}_{2*}})\) via solving the multi-medium Riemann problem (19).
Proof of Theorem 4
We have the following approximation:
Thus, (39) and (40) can be obtained by combining (53), (54), (55), (58).
Under approximation (58), there is
(41) is obtained.
In particular, (41) can be written as (42) for the EOS (2) specifically.
Proof of Theorem 5
Here, assuming that the solution model is a double rarefaction wave structure.
According to [29], the material derivative of \(\psi \) corresponding to the state behind of left characteristic wave \(\lambda _{-}=u-c\) satisfies
where, \(\mu _1^{2}=\frac{\gamma _1-1}{\gamma _1+1}\), and
Setting \(\xi =\frac{c_{1 *}}{c_{L}}-1\), we approximately have
via Taylor series expansion. Here,
Similarly, setting \(\eta = \frac{c_{2 *}}{c_{R}}-1\), the material derivative of \(\phi \) corresponding to the state of behind of the right characteristic wave \(\lambda _{+}=u+c\) satisfies
where,
and \(\mu _2^{2}=\frac{\gamma _2-1}{\gamma _2+1}\). As a result of (53), (54), (55), (62), (64), we obtain
Solving above systems, we obtain the acceleration (material derivative), \( {u}_{a}=\left( \frac{Du}{Dt} \right) _{*}=\left( \frac{Du}{Dt} \right) _{1*}=\left( \frac{Du}{Dt} \right) _{2*}\) and \( {p}_{a}=\left( \frac{Dp}{Dt} \right) _{*}=\left( \frac{Dp}{Dt} \right) _{1*}=\left( \frac{Dp}{Dt} \right) _{2*}\), of the velocity and pressure at the interface \(x=x_{cd}(t_0)\). Using (4), we can get the spatial derivatives of velocity and pressure at the interface
To obtain the spatial derivative of density at the interface for the EOS (2), we follow the method developed in [29] and have
which can be written as
Based on (57), we thus have
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Zhang, X., Liu, T., Yu, C. et al. A Second-order Modified Ghost Fluid Method (2nd-MGFM) with Discontinuous Galerkin Method for 1-D compressible Multi-medium Problem with Cylindrical and Spherical Symmetry. J Sci Comput 93, 14 (2022). https://doi.org/10.1007/s10915-022-01975-9
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DOI: https://doi.org/10.1007/s10915-022-01975-9