Abstract
The present work is concerned with the simulation and optimal control of two-phase flows. We provide stable time discretization schemes for the simulation based on both, smooth and non-smooth free energy densities, which we combine with a practical, reliable and efficient adaptive mesh refinement concept for the spatial variables. Furthermore, we consider optimal control problems for two-phase flows and, among other things, derive first order optimality conditions. In the presence of smooth free energies we encounter classical Karush-Kuhn-Tucker (KKT) conditions, while in the case of non-smooth free energies we can prove C(larke)-stationarity. Moreover, we propose a dual weighted residual concept for spatial mesh adaptivity which is based on the newly derived stationarity conditions. We also address future research directions, including closed-loop control concepts and model order reduction techniques for simulation and control of variable density multiphase flows.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abels, H., Breit, D.: Weak solutions for a non-Newtonian diffuse interface model with different densities. arXiv:1509.05663v1 (2015). http://arxiv.org/abs/1509.05663
Abels, H., Garcke, H., Grün, G.: Thermodynamically consistent, frame indifferent diffuse interface models for incompressible two-phase flows with different densities. Math. Models Methods Appl. Sci. 22(3), 1150013(40) (2012)
Abels, H., Depner, D., Garcke, H.: Existence of weak solutions for a diffuse interface model for two-phase flows of incompressible fluids with different densities. J. Math. Fluid Mech. 15(3), 453–480 (2013)
Abels, H., Depner, D., Garcke, H.: On an incompressible Navier–Stokes/Cahn–Hilliard system with degenerate mobility. Ann. Inst. H. Poincaré (C) Non Linear Anal. 30(6), 1175–1190 (2013)
Adams, R.A., Fournier, J.H.F.: Sobolev spaces. In: Pure and Applied Mathematics, vol. 140, 2nd edn. Elsevier, Amsterdam (2003)
Ainsworth, M., Oden, J.T.: A Posteriori Error Estimation in Finite Element Analysis. Wiley, New York (2000)
Aki, G.L., Dreyer, W., Giesselmann, J., Kraus, C.: A quasi-incompressible diffuse interface model with phase transition. Math. Models Methods Appl. Sci. 24(5), 827–861 (2014)
Aland, S.: Time integration for diffuse interface models for two-phase flow. J. Comput. Phys. 262, 58–71 (2014)
Aland, S., Voigt, A.: Benchmark computations of diffuse interface models for two-dimensional bubble dynamics. Int. J. Numer. Methods Fluids 69, 747–761 (2012)
Alla, A., Falcone, E.: An adaptive pod approximation method for the control of advection-diffusion equations (2013). Arxiv: 1302.4072
Baňas, L., Nürnberg, R.: Adaptive finite element methods for Cahn–Hilliard equations. J. Comput. Appl. Math. 218, 2–11 (2008)
Baňas, L., Nürnberg, R.: A posteriori estimates for the Cahn–Hilliard equation. Math. Modell. Numer. Anal. 43(5), 1003–1026 (2009)
Bangerth, W., Rannacher, R.: Adaptive Finite Element Methods for Differential Equations. Lectures in Mathematics ETH Zürich. Birkhäuser Verlag, Basel (2003). doi:10.1007/978-3-0348-7605-6. http://dx.doi.org/10.1007/978-3-0348-7605-6
Barbu, V.: Optimal control of variational inequalities. In: Research Notes in Mathematics, vol. 100. Pitman (Advanced Publishing Program), Boston (1984)
Barbu, V.: Analysis and control of nonlinear infinite-dimensional systems. In: Mathematics in Science and Engineering, vol. 190. Academic, Boston (1993)
Becker, R., Kapp, H., Rannacher, R.: Adaptive finite element methods for optimal control of partial differential equations: basic concept. SIAM J. Control Optim. 39(1), 113–132 (2000) (electronic). doi:10.1137/S0363012999351097, http://dx.doi.org/10.1137/S0363012999351097
Becker, R., Kapp, H., Rannacher, R.: Adaptive finite element methods for optimization problems. In: Numerical Analysis 1999 (Dundee). Chapman & Hall/CRC Research Notes in Mathematics, vol. 420, pp. 21–42. Chapman & Hall/CRC, Boca Raton (2000)
Benedix, O., Vexler, B.: A posteriori error estimation and adaptivity for elliptic optimal control problems with state constraints. Comput. Optim. Appl. 44(1), 3–25 (2009). doi:10.1007/s10589-008-9200-y, http://dx.doi.org/10.1007/s10589-008-9200-y
Benzi, M., Golub, G., Liesen, J.: Numerical solution of saddle point problems. Acta Numer. 14, 1–137 (2005)
Bergounioux, M.: Optimal control of an obstacle problem. Appl. Math. Optim. 36(2), 147–172 (1997). doi:10.1007/s002459900058, http://dx.doi.org/10.1007/s002459900058
Bergounioux, M., Dietrich, H.: Optimal control of problems governed by obstacle type variational inequalities: a dual regularization-penalization approach. J. Convex Anal. 5(2), 329–351 (1998)
Blank, L., Butz, M., Garcke, H.: Solving the Cahn–Hilliard variational inequality with a semi-smooth Newton method. ESAIM Control Optim. Calc. Var. 17(4), 931–954 (2011)
Blank, L., Farshbaf-Shaker, M., Garcke, H., Rupprecht, C., Styles, V.: Multi-material phase field approach to structural topology optimization. In: Leugering, G., Benner, P., Engell, S., Griewank, A., Harbrecht, H., Hinze, M., Rannacher, R., Ulbrich, S. (eds.) Trends in PDE Constrained Optimization. International Series of Numerical Mathematics, vol. 165. Birkhäuser Verlag, Basel (2015)
Blowey, J.F., Elliott, C.M.: The Cahn–Hilliard gradient theory for phase separation with non-smooth free energy. Part I: mathematical analysis. Eur. J. Appl. Math. 2, 233–280 (1991)
Boyer, F.: A theoretical and numerical model for the study of incompressible mixture flows. Comput. Fluids 31(1), 41–68 (2002)
Boyer, F., Lapuerta, C., Minjeaud, S., Piar, B., Quintard, M.: Cahn–Hilliard/Navier–Stokes model for the simulation of three-phase flows. Transp. Porous Media 82(3), 463–483 (2010)
Bramble, J., Pasciak, J., Steinbach, O.: On the Stability of the L 2 projection in H 1(Ω). Math. Comput. 71(237), 147–156 (2001)
Brenner, S.C., Scott, L.R.: The Mathematical Theory of Finite Element Methods. Texts in Applied Mathematics, vol. 15. Springer, Berlin (2008)
Brett, C., Elliott, C.M., Hintermüller, M, Löbhard, C.: Mesh adaptivity in optimal control of elliptic variational inequalities with point-tracking of the state. Interfaces Free Bound. 17(1), 21–53 (2015). doi:10.4171/IFB/332, http://dx.doi.org/10.4171/IFB/332
Cahn, J.W., Hilliard, J.E.: Free energy of a nonuniform system. I. Interfacial free energy. J. Chem. Phys. 28(2), 258–267 (1958)
Carstensen, C.: Quasi-interpolation and a-posteriori error analysis in finite element methods. Math. Modell. Numer. Anal. 33(6), 1187–1202 (1999)
Chen, L.: iFEM: an innovative finite element method package in Matlab. Available at: ifem.wordpress.com (2008)
Choi, H., Temam, R., Moin, P., Kim, J.: Feedback control for unsteady flow and its application to the stochastic Burgers equation. J. Fluid Mech. 253, 509–543 (1993)
Constantin, P., Foias, C.: Navier-Stokes-Equations. The University of Chicago Press, Chicago (1988)
Davis, T.A.: Algorithm 832: Umfpack v4.3 - an unsymmetric-pattern multifrontal method. ACM Trans. Math. Softw. 30(2), 196–199 (2004)
Deckelnick, K., Günther, A., Hinze, M.: Finite element approximation of elliptic control problems with constraints on the gradient. Numer. Math. 111(3), 335–350 (2009). doi:10.1007/s00211-008-0185-3, http://dx.doi.org/10.1007/s00211-008-0185-3
Ding, H., Spelt, P.D.M., Shu, C.: Diffuse interface model for incompressible two-phase flows with large density ratios. J. Comput. Phys. 226(2), 2078–2095 (2007)
Ekeland, I., Témam, R.: Convex Analysis and Variational Problems. Classics in Applied Mathematics, vol. 28, English edn. Society for Industrial and Applied Mathematics, Philadelphia (1999). doi:10.1137/1.9781611971088, http://dx.doi.org/10.1137/1.9781611971088. Translated from the French
Elliott, C., Stinner, B., Styles, V., Welford, R.: Numerical computation of advection and diffusion on evolving diffuse interfaces. IMA J. Numer. Anal. 31(3), 786–812 (2011)
Feng, X.: Fully discrete finite element approximations of the Navier–Stokes–Cahn–Hilliard diffuse interface model for two-phase fluid flows. SIAM J. Numer. Anal. 44(3), 1049–1072 (2006)
Friedman, A.: Optimal control for variational inequalities. SIAM J. Control Optim. 24(3), 439–451 (1986). doi:10.1137/0324025, http://dx.doi.org/10.1137/0324025
Garcke, H., Lam, K.F., Stinner, B.: Diffuse interface modelling of soluble surfactants in two-phase flow. Commun. Math. Sci. 12(8), 1475–1522 (2014)
Garcke, H., Hecht, C., Hinze, M., Kahle, C.: Numerical approximation of phase field based shape and topology optimization for fluids. SIAM J. Sci. Comput. 37(4), 1846–1871 (2015)
Garcke, H., Hinze, H., Kahle, C.: Optimal Control of time-discrete two-phase flow driven by a diffuse-interface model (2016). arXiv:1612.02283
Garcke, H., Hinze, M., Kahle, C.: A stable and linear time discretization for a thermodynamically consistent model for two-phase incompressible flow. Appl. Numer. Math. 99, 151–171 (2016)
Girault, V., Raviart, P.A.: Finite Element Methods for Navier-Stokes Equations. Springer Series in Computational Mathematics. Theory and Algorithms, vol. 5. Springer, Berlin (1986). doi:10.1007/978-3-642-61623-5, http://dx.doi.org/10.1007/978-3-642-61623-5
Gross, S., Reusken, A.: Numerical Methods for Two-Phase Incompressible Flows. Springer Series in Computational Mathematics, vol. 40. Springer, Berlin (2011)
Grün, G.: On convergent schemes for diffuse interface models for two-phase flow of incompressible fluids with general mass densities. SIAM J. Numer. Anal. 51(6), 3036–3061 (2013)
Grün, G., Klingbeil, F.: Two-phase flow with mass density contrast: stable schemes for a thermodynamic consistent and frame indifferent diffuse interface model. J. Comput. Phys. 257(A), 708–725 (2014)
Grün, G., Guillén-Gonzáles, F., Metzger, S.: On fully decoupled convergent schemes for diffuse interface models for two-phase flow with general mass densities. Commun. Comput. Phys. 19(5), 1473–1502 (2016)
Grüne, L., Pannek, J.: Nonlinear Model Predictive Control. Communications and Control Engineering. Springer, Berlin (2011)
GSL - GNU Scientific Library. http://www.gnu.org/software/gsl/
Guillén-González, F., Tierra, G.: On linear schemes for a Cahn–Hilliard diffuse interface model. J. Comput. Phys. 234, 140–171 (2013)
Guillén-Gonzáles, F., Tierra, G.: Splitting schemes for a Navier–Stokes –Cahn–Hilliard model for two fluids with different densities. J. Comput. Math. 32(6), 643–664 (2014)
Guillén-González, F., Tierra, G.: Numerical methods for solving the Cahn–Hilliard equation and its applicability to related energy-based models. Arch. Comput. Methods Eng. 22(2), 269–289 (2015)
Günther, A., Hinze, M.: Elliptic control problems with gradient constraints—variational discrete versus piecewise constant controls. Comput. Optim. Appl. 49(3), 549–566 (2011). doi:10.1007/s10589-009-9308-8, http://dx.doi.org/10.1007/s10589-009-9308-8
Guo, Z., Lin, P., Lowengrub, J.S.: A numerical method for the quasi-incompressible Cahn–Hilliard–Navier–Stokes equations for variable density flows with a discrete energy law. J. Comput. Phys. 276, 486–507 (2014)
Hintermüller, M., Hoppe, R.H.W.: Goal-oriented adaptivity in control constrained optimal control of partial differential equations. SIAM J. Control Optim. 47(4), 1721–1743 (2008). doi:10.1137/070683891, http://dx.doi.org/10.1137/070683891
Hintermüller, M., Hoppe, R.H.W.: Goal-oriented adaptivity in pointwise state constrained optimal control of partial differential equations. SIAM J. Control Optim. 48(8), 5468–5487 (2010). doi:10.1137/090761823, http://dx.doi.org/10.1137/090761823
Hintermüller, M., Kopacka, I.: Mathematical programs with complementarity constraints in function space: C- and strong stationarity and a path-following algorithm. SIAM J. Optim. 20(2), 868–902 (2009). doi:10.1137/080720681, http://dx.doi.org/10.1137/080720681
Hintermüller, M., Surowiec, T.: A bundle-free implicit programming approach for a class of MPECs in function space. Preprint (2012)
Hintermüller, M., Wegner, D.: Optimal control of a semidiscrete Cahn-Hilliard-Navier-Stokes system. SIAM J. Control Optim. 52(1), 747–772 (2014). doi:10.1137/120865628, http://dx.doi.org/10.1137/120865628
Hintermüller, M., Ito, K., Kunisch, K.: The primal-dual active set strategy as a semi-smooth Newton method. SIAM J. Optim. 13(3), 865–888 (2003)
Hintermüller, M., Hoppe, R.H., Iliash, Y., Kieweg, M.: An a posteriori error analysis of adaptive finite element methods for distributed elliptic control problems with control constraints. ESAIM Control Optim. Calc. Var. 14(3), 540–560 (2008)
Hintermüller, M., Hinze, M., Tber, M.H.: An adaptive finite element Moreau–Yosida-based solver for a non-smooth Cahn–Hilliard problem. Optim. Methods Softw. 25(4–5), 777–811 (2011). doi:10.1080/10556788.2010.549230
Hintermüller, M., Hinze, M., Hoppe, R.H.: Weak-duality based adaptive finite element methods for PDE-constrained optimization with pointwise gradient state-constraints. J. Comput. Math 30(2), 101–123 (2012)
Hintermüller, M., Hinze, M., Kahle, C.: An adaptive finite element Moreau–Yosida-based solver for a coupled Cahn–Hilliard/Navier–Stokes system. J. Comput. Phys. 235, 810–827 (2013)
Hintermüller, M., Hoppe, R.H.W., Löbhard, C.: Dual-weighted goal-oriented adaptive finite elements for optimal control of elliptic variational inequalities. ESAIM Control Optim. Calc. Var. 20(2), 524–546 (2014). doi:10.1051/cocv/2013074, http://dx.doi.org/10.1051/cocv/2013074
Hintermüller, M., Mordukhovich, B.S., Surowiec, T.M.: Several approaches for the derivation of stationarity conditions for elliptic MPECs with upper-level control constraints. Math. Program. 146(1–2, Ser. A), 555–582 (2014). doi:10.1007/s10107-013-0704-6, http://dx.doi.org/10.1007/s10107-013-0704-6
Hintermüller, M., Schiela, A., Wollner, W.: The length of the primal-dual path in Moreau-Yosida-based path-following methods for state constrained optimal control. SIAM J. Optim. 24(1), 108–126 (2014). doi:10.1137/120866762, http://dx.doi.org/10.1137/120866762
Hintermüller, M., Keil, T., Wegner, D.: Optimal control of a semidiscrete Cahn-Hilliard-Navier-stokes system with non-matched fluid densities. arXiv preprint arXiv:1506.03591 (2015)
Hintermüller, M., Hinze, H., Kahle, C., Keil, T.: A goal-oriented dual-weighted adaptive finite elements approach for the optimal control of a Cahn-Hilliard-Navier-Stokes system. Hamburger Beiträge zur Angewandten Mathematik 2016-29 (2016)
Hinze, M.: Instantaneous closed loop control of the Navier–Stokes system. SIAM J. Control Optim. 44(2), 564–583 (2005)
Hinze, M.: A variational discretization concept in control constrained optimization: the linear quadratic case. Comput. Optim. Appl. 30(1), 45–61 (2005)
Hinze, M., Kahle, C.: A nonlinear model predictive concept for the control of two-phase flows governed by the Cahn–Hilliard Navier–Stokes system. In: System Modeling and Optimization, vol. 391. IFIP Advances in Information and Communication Technology (2013)
Hinze, M., Kahle, C.: Model predictive control of variable density multiphase flows governed by diffuse interface models. In: Proceedings of the first IFAC Workshop on Control of Systems Modeled by Partial Differential Equations, vol. 1, pp. 127–132 (2013)
Hinze, M., Volkwein, S.: Proper orthogonal decomposition surrogate models for nonlinear dynamical systems: error estimates and suboptimal control. In: Dimension Reduction of Large-Scale Systems. Lecture Notes in Computational Science and Engineering, vol. 45, pp. 261–306. Springer, Berlin (2005)
Hohenberg, P.C., Halperin, B.I.: Theory of dynamic critical phenomena. Rev. Mod. Phys. 49(3), 435–479 (1977)
Hysing, S., Turek, S., Kuzmin, D., Parolini, N., Burman, E., Ganesan, S., Tobiska, L.: Quantitative benchmark computations of two-dimensional bubble dynamics. Int. J. Numer. Methods Fluids 60(11), 1259–1288 (2009)
Ito, K., Kunisch, K.: Optimal control of elliptic variational inequalities. Appl. Math. Optim. 41(3), 343–364 (2000). doi:10.1007/s002459911017, http://dx.doi.org/10.1007/s002459911017
Jarušek, J., Krbec, M., Rao, M., Sokołowski, J.: Conical differentiability for evolution variational inequalities. J. Differ. Equ. 193(1), 131–146 (2003). doi:10.1016/S0022-0396(03)00136-0, http://dx.doi.org/10.1016/S0022-0396(03)00136-0
Kahle, C.: An L ∞ bound for the Cahn–Hilliard equation with relaxed non-smooth free energy density. arXiv:1511.02618 (2015)
Kay, D., Welford, R.: A multigrid finite element solver for the Cahn–Hilliard equation. J. Comput. Phys. 212, 288–304 (2006)
Kay, D., Loghin, D., Wathen, A.: A preconditioner for the steady state Navier–Stokes equations. SIAM J. Sci. Comput. 24(1), 237–256 (2002)
Kay, D., Styles, V., Welford, R.: Finite element approximation of a Cahn–Hilliard–Navier–Stokes system. Interfaces Free Bound. 10(1), 15–43 (2008). http://www.ems-ph.org/journals/show_issue.php?issn=1463-9963&vol=10&iss=1
Kim, J.: A continuous surface tension force formulation for diffuse-interface models. J. Comput. Phys. 204(2), 784–804 (2005)
Kim, J., Kang, K., Lowengrub, J.: Conservative multigrid methods for Cahn-Hilliard fluids. J. Comp. Phys. 193, 511–543 (2004)
Krumbiegel, K., Rösch, A.: A virtual control concept for state constrained optimal control problems. Comput. Optim. Appl. 43(2), 213–233 (2009). doi:10.1007/s10589-007-9130-0, http://dx.doi.org/10.1007/s10589-007-9130-0
Kunisch, K., Volkwein, S.: Galerkin proper orthogonal decomposition methods for parabolic problems. Numer. Math. 90(1), 117–148 (2001). doi:10.1007/s002110100282, http://dx.doi.org/10.1007/s002110100282
Li, R., Liu, W., Ma, H., Tang, T.: Adaptive finite element approximation for distributed elliptic optimal control problems. SIAM J. Control Optim. 41(5), 1321–1349 (2002). doi:10.1137/S0363012901389342, http://dx.doi.org/10.1137/S0363012901389342
Liu, W., Yan, N.: A posteriori error estimates for distributed convex optimal control problems. Adv. Comput. Math. 15(1–4), 285–309 (2002) (2001). doi:10.1023/A:1014239012739, http://dx.doi.org/10.1023/A:1014239012739. A posteriori error estimation and adaptive computational methods
Lowengrub, J., Truskinovsky, L.: Quasi-incompressible Cahn–Hilliard fluids and topological transitions. Proc. R. Soc. A 454(1978), 2617–2654 (1998)
Luo, Z.Q., Pang, J.S., Ralph, D.: Mathematical Programs with Equilibrium Constraints. Cambridge University Press, Cambridge (1996). doi:10.1017/CBO9780511983658, http://dx.doi.org/10.1017/CBO9780511983658
Mignot, F.: Contrôle dans les inéquations variationelles elliptiques. J. Funct. Anal. 22(2), 130–185 (1976)
Mignot, F., Puel, J.P.: Optimal control in some variational inequalities. SIAM J. Control Optim. 22(3), 466–476 (1984). doi:10.1137/0322028, http://dx.doi.org/10.1137/0322028
Oono, Y., Puri, S.: Study of phase-separation dynamics by use of cell dynamical systems. I. Modeling. Phys. Rev. A 38(1), 434–463 (1988)
Otto, F., Seis, C., Slepčev, D.: Crossover of the coarsening rates in demixing of binary viscous liquids. Commun. Math. Sci. 11(2), 441–464 (2013)
Outrata, J., Kočvara, M., Zowe, J.: Nonsmooth Approach to Optimization Problems with Equilibrium Constraints. Theory, Applications and Numerical Results. Nonconvex Optimization and Its Applications, vol. 28. Kluwer Academic Publishers, Dordrecht (1998). doi:10.1007/978-1-4757-2825-5, http://dx.doi.org/10.1007/978-1-4757-2825-5
Repin, S.: A Posteriori Estimates for Partial Differential Equations. Radon Series on Computational and Applied Mathematics, vol. 4. Walter de Gruyter GmbH & Co. KG, Berlin (2008). doi:10.1515/9783110203042, http://dx.doi.org/10.1515/9783110203042
Rösch, A., Wachsmuth, D.: A-posteriori error estimates for optimal control problems with state and control constraints. Numer. Math. 120(4), 733–762 (2012). doi:10.1007/s00211-011-0422-z, http://dx.doi.org/10.1007/s00211-011-0422-z
Scheel, H., Scholtes, S.: Mathematical programs with complementarity constraints: stationarity, optimality, and sensitivity. Math. Oper. Res. 25(1), 1–22 (2000). doi:10.1287/moor.25.1.1.15213, http://dx.doi.org/10.1287/moor.25.1.1.15213
Schmidt, A., Siebert, K.G.: Design of Adaptive Finite Element Software: The Finite Element Toolbox ALBERTA. Lecture Notes in Computational Science and Engineering, vol. 42. Springer, Berlin (2005)
Schneider, R., Wachsmuth, G.: A posteriori error estimation for control-constrained, linear-quadratic optimal control problems. SIAM J. Numer. Anal. 54(2), 1169–1192 (2016)
Sethian, J.A.: Theory, algorithms, and applications of level set methods for propagating interfaces. Acta Numer. 5, 309–395 (1996)
Shen, J., Yang, X.: A phase-field model and its numerical approximation for two-phase incompressible flows with different densities and viscosities. SIAM J. Sci. Comput. 32(3), 1159–1179 (2010)
Tiba, D.: Optimal Control of Nonsmooth Distributed Parameter Systems. Lecture Notes in Mathematics, vol. 1459. Springer, Berlin (1990). doi:10.1007/BFb0085564, http://dx.doi.org/10.1007/BFb0085564
Verfürth, R.: A posteriori error analysis of space-time finite element discretizations of the time-dependent Stokes equations. Calcolo 47(3), 149–167 (2010). doi:10.1007/s10092-010-0018-5, http://dx.doi.org/10.1007/s10092-010-0018-5
Vexler, B., Wollner, W.: Adaptive finite elements for elliptic optimization problems with control constraints. SIAM J. Control Optim. 47(1), 509–534 (2008). doi:10.1137/070683416, http://dx.doi.org/10.1137/070683416
Wachsmuth, G.: Towards M-stationarity for optimal control of the obstacle problem with control constraints. SIAM J. Control Optim. 54(2), 964–986 (2016). doi:10.1137/140980582, http://dx.doi.org/10.1137/140980582
Acknowledgements
The authors gratefully acknowledge the support of the DFG through the priority programm 1506 “Transport processes at fluidic interfaces” under the grants HI 689_7-1 and HI 1466/2-1. This research was further supported by the Research Center MATHEON through project C-SE5 and D-OT1 funded by the Einstein Center for Mathematics Berlin. In addition, this research was partly supported by the Berlin Mathematical School.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Hintermüller, M., Hinze, M., Kahle, C., Keil, T. (2017). Fully Adaptive and Integrated Numerical Methods for the Simulation and Control of Variable Density Multiphase Flows Governed by Diffuse Interface Models. In: Bothe, D., Reusken, A. (eds) Transport Processes at Fluidic Interfaces. Advances in Mathematical Fluid Mechanics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-56602-3_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-56602-3_13
Published:
Publisher Name: Birkhäuser, Cham
Print ISBN: 978-3-319-56601-6
Online ISBN: 978-3-319-56602-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)