Efficient and reliable finite element techniques for phase field models
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Abstract
In this work auto-adaptive finite-element techniques are presented that allow for quantitatively reliable numerical computation of phase field models. These techniques are based on goal oriented error estimation for finite elements with dual weighted residuals and algorithms for auto-adaptive mesh adaptation in space and in time. It is discussed for which kind of problems the computational overhead of such methods is expected to be justified by a sufficient reduction of the problem size.
References
[1] W.J.Boettinger, J.A.Warren, C.Beckermann, A.Karma: Annu. Rev. Mater. Res.32 (2002) 163–194.10.1146/annurev.matsci.32.101901.155803Search in Google Scholar
[2] L.-Q.Chen: Annu. Rev. Mater. Res.32 (2002) 113–140.10.1146/annurev.matsci.32.112001.132041Search in Google Scholar
[3] L.Gránásy, T.Pustai, J.A.Warren: J. Phys.: Condensed Matter.16 (2004) 1205–1235.10.1088/0953-8984/16/41/R01Search in Google Scholar
[4] A.Karma: Phase-field formulation for quantitative modeling of alloy solidification. Physical review letters (2001) 87.10.1103/PhysRevLett.87.115701Search in Google Scholar PubMed
[5] I.Steinbach: Phase-field models in materials science. Modelling and Simulation in Materials Science and Engineering17 (2009) 073001.10.1088/0965-0393/17/7/073001Search in Google Scholar
[6] R.Becker, R.Rannacher: A feed-back approach to error control in finite element methods: Basic analysis and examples. East-West J. Numer. Math. (1996) 4.Search in Google Scholar
[7] K.Eriksson, C.Johnson: Adaptive finite element methods for parabolic problems. i: A linear model problem. SIAM J. Numer. Anal.28 (1991) 43–77.10.1137/0728003Search in Google Scholar
[8] K.Eriksson, C.Johnson: Adaptive finite element methods for parabolic problems. ii: Optimal error estimates in l∞l2 and l∞l∞. SIAM J. Numer. Anal.32 (1995) 706–740.10.1137/0732033Search in Google Scholar
[9] K.Eriksson, C.Johnson: Adaptive finite element methods for parabolic problems. iv: Nonlinear problems. SIAM J. Numer. Anal.32 (1995) 1729–1749.10.1137/0732078Search in Google Scholar
[10] K.Eriksson, C.Johnson: Adaptive finite element methods for parabolic problems. v: Long-time integration. SIAM J. Numer. Anal.32 (1995) 1750–1763.10.1137/0732079Search in Google Scholar
[11] D.Danilov, B.Nestler: Phase-field simulations of solidification in binary and ternary systems using a finite element method (2004).Search in Google Scholar
[12] N.Provatas, N.Goldenfeld, J.Dantzig: Adaptive mesh refinement computation of solidification microstructures using dynamic data structures. J. Comput. Phys.148 (1999) 265–290.10.1006/jcph.1998.6122Search in Google Scholar
[13] R.Kobayashi: A numerical approach to three-dimensional dendritic solidification. Experimental Mathematics (1994) 3.10.1080/10586458.1994.10504577Search in Google Scholar
[14] R.Dautray, J.-L.Lions: Evolution Problems I, volume 5 of Mathematical Analysis and Numerical Mathods for Science and Technology. Springer-Verlag (1995).Search in Google Scholar
[15] M.Stiemer: Finite element simulation of relaxed models for liquid-solid phase transition. In ENUMATH2007, Numerical Mathematics and advanced applications. Springer-Verlag (2007).Search in Google Scholar
[16] H.Blum, R.Rannacher: On mixed finite element methods in plate bending analysis. I: The first Herrmann scheme. Comput. Mech.6 (1990) 221–236.10.1007/BF00350239Search in Google Scholar
[17] W.Bangerth, R.Hartmann, G.Kanschat: deal.ii differential equations analysis library, technical reference.Search in Google Scholar
[18] W.Bangerth, R.Hartmann, G.Kanschat: deal.ii – a general-purpose objectoriented finite element library. ACM Transactions on Mathematical Software33 (2007).10.1145/1268776.1268779Search in Google Scholar
[19] O.C.Zienkiewicz, J.Z.Zhu: A simple error estimator and adaptive procedure for practical engineering analysis. Int. J. Numer. Methods Eng.24 (1987) 337–357.10.1002/nme.1620240206Search in Google Scholar
© 2010, Carl Hanser Verlag, München
Articles in the same Issue
- Contents
- Contents
- Editorial
- Second Symposium on Phase-Field Modelling in Materials Science
- Basic
- Phase-field modeling of surface diffusion
- Elastic and plastic effects on solid-state transformations: A phase field study
- Elastic interactions in phase-field crystal models: numerics and postprocessing
- Phase-field modeling of solute trapping: comparative analysis of parabolic and hyperbolic models
- Multi-phase field study of the equilibrium state of multi-junctions
- Numerical study on the evolution of stress distribution in cellular microstructures
- Effect of surface charges on the polarization distribution in ferroelectric nanotubes
- Efficient and reliable finite element techniques for phase field models
- Applied
- Phase-field simulation of microstructure formation in technical magnesium alloys
- Phase-field modelling of gas porosity formation during the solidification of aluminium
- Application of the phase-field method in predicting gas bubble microstructure evolution in nuclear fuels
- Simulation of reaction-diffusion phenomena occurring between Ir coating and Ni–Al alloy substrate using phase-field model
- Phase-field simulation of γ(A1) + γ′(L12) + γ′′(D022) three-phase microstructure formation in Ni-base superalloys
- Phase field modelling of austenite formation from ultrafine ferrite–carbide aggregates in Fe–C
- Phase field simulation of austenite grain growth in the HAZ of microalloyed linepipe steel
- Dual-scale phase-field simulation of grain growth upon reheating of a microalloyed line pipe steel
- Phase field simulation of grain growth with grain boundary segregation
- Notification
- DGM News
Articles in the same Issue
- Contents
- Contents
- Editorial
- Second Symposium on Phase-Field Modelling in Materials Science
- Basic
- Phase-field modeling of surface diffusion
- Elastic and plastic effects on solid-state transformations: A phase field study
- Elastic interactions in phase-field crystal models: numerics and postprocessing
- Phase-field modeling of solute trapping: comparative analysis of parabolic and hyperbolic models
- Multi-phase field study of the equilibrium state of multi-junctions
- Numerical study on the evolution of stress distribution in cellular microstructures
- Effect of surface charges on the polarization distribution in ferroelectric nanotubes
- Efficient and reliable finite element techniques for phase field models
- Applied
- Phase-field simulation of microstructure formation in technical magnesium alloys
- Phase-field modelling of gas porosity formation during the solidification of aluminium
- Application of the phase-field method in predicting gas bubble microstructure evolution in nuclear fuels
- Simulation of reaction-diffusion phenomena occurring between Ir coating and Ni–Al alloy substrate using phase-field model
- Phase-field simulation of γ(A1) + γ′(L12) + γ′′(D022) three-phase microstructure formation in Ni-base superalloys
- Phase field modelling of austenite formation from ultrafine ferrite–carbide aggregates in Fe–C
- Phase field simulation of austenite grain growth in the HAZ of microalloyed linepipe steel
- Dual-scale phase-field simulation of grain growth upon reheating of a microalloyed line pipe steel
- Phase field simulation of grain growth with grain boundary segregation
- Notification
- DGM News