The proper generalized decomposition: a powerful tool for model reduction
Source abstract
Abstract
One of my best scientific meetings was with Paco Chinesta some years ago. This close partnership has started when he visited Grenoble. He asked me: Can you solve quickly Fokker-Planck equation describing microscopic behaviour of complex fluids?. This question was the beginning of a discovery in the world of the kinetic theory microscopic descriptions. It was also the starting point of the development of efficient numerical techniques reducing simulation costs. Smooth Particle Hydrodynamic was the first release of our attempts. POD and other derived techniques using ‘a priori’ model reduction was the second release. Finally a development of a powerful technique was the main achievement of these works, now known as Proper Generalized Decomposition (PGD). With Paco, we established many collaborations with highly recognized scientists, allowing the proposal of new numerical strategies. Among them I would mention Elias Cueto, Antonio Falco, Etienne Pruliere, David Ryckelynck and many others that deserve my acknowledgments. In this paper I’m going to present first the general framework related to the purpose of a fine microscopic description. Then, some details of one of the developed numerical techniques (the PGD) will be presented. Finally, many examples in the kinetic theory description will be addressed for illustrating the possibilities of this powerful technique for solving problems never until now solved.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Rheology and Fluid Dynamics Studies · Model Reduction and Neural Networks · Probabilistic and Robust Engineering Design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (39)
Show source-provided references
1. Advani SG, Tucker CL III (1990) Closure approximations for three-dimensional structure tensors. J Rheol 34:367–38610.1122/1.550133 ↗
2. Ammar A, Chinesta F (2008) Circumventing curse of dimensionality in the solution of highly multidimensional models encountered in quantum mechanics using meshfree finite sums decomposition. Lectures Notes on Computational Science and Engineering, Springer, 65:1–1710.1007/978-3-540-79994-8_1 ↗
3. Ammar A, Chinesta F, Ryckelynck D (2006) Deterministic particle approach of multi-bead-spring polymer models. European Journal of Computational Mechanics 15/5:481–49410.3166/remn.15.481-494 ↗
4. Ammar A, Clermont J-R (2005) A finite flement approach in stream-tube method for solving fluid and solid mechanics problem. Mech Res Commun 32:65–7310.1016/j.mechrescom.2004.04.002 ↗
5. Ammar A, Mokdad B, Chinesta F, Keunings R (2006) A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids. J Non-Newton Fluid Mech 139:153–17610.1016/j.jnnfm.2006.07.007 ↗
6. Ammar A, Mokdad B, Chinesta F, Keunings R (2007) A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids. Part II: transient simulation using space-time separated representation. J Non-Newton Fluid Mech 144:98–12110.1016/j.jnnfm.2007.03.009 ↗
7. Ammar A, Poitou A (2002) Polymer flow induced crystallization. Case of viscoelastic polymer with molecular variables. Méc Ind 3/6:525–53410.1016/S1296-2139(02)01198-3 ↗
8. Ammar A, Pruliere E, Chinesta F, Laso M (2009) Reduced numerical modeling of flows involving liquid-crystalline polymeres. J Non-Newton Fluid Mech 160:140–15610.1016/j.jnnfm.2009.03.013 ↗
9. Ammar A, Ryckelynck D, Chinesta F, Keunings R (2006) On the reduction of kinetic theory models related to finitely extensible dumbbells. J Non-Newton Fluid Mech 134:136–14710.1016/j.jnnfm.2006.01.007 ↗
10. Bird RB, Crutiss CF, Armstrong RC, Hassager O (1987) Dynamic of polymeric liquid, Volume 2: Kinetic theory. Wiley.
11. Chaubal CV, Srinivasan A, Egecioglu O, Leal LG (1997) Smoothed particle hydrodynamics techniques for the solution of kinetic theory problems. J Non-Newton Fluid Mech 70:125–15410.1016/S0377-0257(97)01542-5 ↗
12. Chauviere C, Lozinski A (2004) Simulation of dilute polymer solutions using a Fokker-Planck equation. Comput Fluids 33:687–69610.1016/j.compfluid.2003.02.002 ↗
13. Chine A, Ammar A, Normandin M, Clermont J-R (2007) A numerical approach for polymer flow predictions in two-dimensional geometries involving crystallization processes. Int J Form Process 10/4:447–47010.3166/ijfp.10.447-470 ↗
14. Chiba K, Ammar A, Chinesta F (2005) On the fiber orientation in steady recirculating flows involving short fibers suspensions. Rheol Acta 44:406–41710.1007/s00397-004-0422-3 ↗
15. Chinesta F, Ammar A, Falco A, Laso M (2007) On the reduction of stochastic kinetic theory models of complex fluids. Model Simul Mater Sci Eng 15:639–65210.1088/0965-0393/15/6/004 ↗
16. Chinesta F, Ammar A, Lemarchand F, Beauchene P, Boust F (2008) Alleviating mesh constraints: model reduction, parallel time integration and high resolution homogenization. Comput Methods Appl Mech Eng 197/5:400–41310.1016/j.cma.2007.07.022 ↗
17. De Gennes PG (1971) Reptation of a polymer chain in the presence of fixed obstacles. J Chem Phys 55:572–57910.1063/1.1675789 ↗
18. Doi M, Edwards SF (1989) The theory of polymer dynamic. Oxford Press, London
19. Fang J, Kroger M, Öttinger HC (2000) A thermodynamically admissible reptation model for fast flows of entangled polymers. II. Model predictions for shear and extensional flows. J Rheol 40:1293–131810.1122/1.1308522 ↗
20. Hernandez Cifre JG, Barenbrug T, Schiber J, Van den Brule B (2003) Brownian dynamics simulation of reversible polymer networks under shear using a non-interacting dumbbell model. J Non-Newton Fluid Mech 113:73–9610.1016/S0377-0257(03)00063-6 ↗
21. Hulsen MA, van Heel APG, van den Brule BHAA (1997) Simulation of viscoelastic flows using Brownian configuration fields. J Non-Newton Fluid Mech 70:79–10110.1016/S0377-0257(96)01503-0 ↗
22. Jeffrey GB (1922) The motion of ellipsoidal particles immersed in viscous fluid. Proc R Soc London, Ser A 102:161–17910.1098/rspa.1922.0078 ↗
23. Keunings R (1997) On the Peterlin approximation for finitely extensible dumbells. J Non-Newton Fluid Mech 68:85–10010.1016/S0377-0257(96)01497-8 ↗
24. Keunings R (2004) Micro-macro methods for the multiscale simulation of viscoelastic flow using molecular models of kinetic theory. In: Binding DM, Walters K (Eds) Rheology reviews. British Society of Rheology, 67–98
25. Kroger M, Ammar A, Chinesta F (2008) Consistent closure schemes for statistical models of anisotropic fluids. J Non-Newton Fluid Mech 149:40–5510.1016/j.jnnfm.2007.05.007 ↗
26. Larson RG, Öttinger HC (1991) Effect of molecular elasticity on out-of-plane orientation in shearing flows of liquid-crystalline polymers. Macromolecules 24:6270–628210.1021/ma00023a033 ↗
27. Lozinski A, Chauviere C (2003) A fast solver for Fokker-Planck equation applied to viscoelastic flows calculations: 2D FENE model. J Comput Phys 189:607–62510.1016/S0021-9991(03)00248-1 ↗
28. Ma A, Chinesta F, Ammar A, Mackley M (2008) Rheological modelling of untreated carbon nanotube suspensions in simple steady shear flows. J Rheol 52(6):1311–133010.1122/1.2982932 ↗
29. Ma A, Chinesta F, Mackley M, Ammar A (2008) The Rheological modelling of carbon nanotube (CNT) suspensions in steady shear flows. Int J Mater Form 1:83–8810.1007/s12289-008-0372-x ↗
30. Mokdad B, Pruliere E, Ammar A, Chinesta F (2007) On the simulation of kinetic theory models of complex fluids using the Fokker-Planck approach. Appl Rheol 17/2:26494
31. Öttinger HC (1996) Stochastic processes in polymeric fluids: tools and examples for developing simulation algorithms. Springer, Berlin10.1007/978-3-642-58290-5 ↗
32. Öttinger HC, Laso M (1992) Smart polymers in finite element calculation. Int Congr. on Rheology, Brussel, Belguim10.1016/B978-0-444-89007-8.50110-6 ↗
33. Poitou A, Ammar A, Marco Y, Chevalier L, Chaouche M (2003) Crystallization of polymers under strain: from molecular properties to macroscopic models. Comput Methods Appl Mech Eng 192(28):3245–326410.1016/S0045-7825(03)00349-9 ↗
34. Pruliere E, Ammar A, Chinesta F, El Kissi N (2009) Recirculating flows involving short fiber suspensions: numerical difficulties and efficient advanced micro-macro solvers. Arch Comput Methods Eng, State Art Rev 16/1:1–30
35. Ryckelynck D (2005) A priori hyperreduction method: an adaptive approach. J Comput Phys 202:346–36610.1016/j.jcp.2004.07.015 ↗
36. Ryckelynck D, Chinesta F, Cueto E, Ammar A (2006) On the “A Priori” model reduction: overview and recent developments. Arch Comput Methods Eng, State Art Rev 13/1:91–12810.1007/BF02905932 ↗
37. Somasi M, Khomami B, Woo NJ, Hur JS, Shaqfeh ESG (2002) Brownian dynamics simulations of bead-rod and bead-spring chains: numerical algorithms and coarse-graining issues. J Non-Newton Fluid Mech 108:227–25510.1016/S0377-0257(02)00132-5 ↗
38. Venkiteswaran G, Junk M (2005) A QMC approach for high dimensional Fokker-Planck equations modelling polymeric liquids. Math Comput Simul 68:43–5610.1016/j.matcom.2004.09.002 ↗
39. Wiest JM, Tanner RI (1989) Rheology of bead-nonlinear spring chain macromolecules. J Rheol 33(2):281–31610.1122/1.550060 ↗