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Truncated integration for simultaneous simulation of sintering using a separated representation. (English) Zbl 1269.74211

Summary: Recent developments of multidimensional solvers using separated representation make it possible to account for the multidimensionality of mechanical models in materials science when doing numerical simulations. This paper aims to extend the separated representation to inseparable equations using an efficient integration scheme. It focuses on the dependence of constitutive equations on material coefficients. Although these coefficients can be optimized using few experimental results, they are not very well known because of the natural variability of material properties. Therefore, the mechanical state can be viewed as a function depending not only on time and space variables but also on material coefficients. This is illustrated in this paper by a sensitivity analysis of the response of a sintering model with respect to variations of material coefficients. The considered variations are defined around an optimized value of coefficients adjusted by experimental results. The proposed method is an incremental method using an extension of the integration scheme developed for the Hyper Reduction method. During the incremental solution, before the adaptation of the representation, an assumed separation representation is used as a reduced-order model. We claim that a truncated integration scheme enables to forecast the reduced-state variables related to the assumed separated representation. The fact that the integrals involved in the formulation can not be written as a sum of products of one-dimensional integrals, this approach reduces the extent of the integration domain.

MSC:

74S30 Other numerical methods in solid mechanics (MSC2010)
74F05 Thermal effects in solid mechanics
Full Text: DOI

References:

[1] Besson J, Abouaf M (1991) Behaviour of cylindrical hip containers. Int J Solids Struct 691–702
[2] 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 139:153–176 · Zbl 1195.76337 · doi:10.1016/j.jnnfm.2006.07.007
[3] 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 representations. J Non-Newton Fluid Mech 144:98–121 · Zbl 1196.76047 · doi:10.1016/j.jnnfm.2007.03.009
[4] Chinesta F, Ammar A, Joyot P (2008) The nanometric and micrometric scales of the structure and mechanics of materials revisited: an introduction to the challenges of fully deterministic numerical descriptions. Int J Multiscale Comput Eng 6:191–213 · doi:10.1615/IntJMultCompEng.v6.i3.20
[5] 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 15:639–652 · doi:10.1088/0965-0393/15/6/004
[6] 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 17:1–14
[7] Pruliere E, Ammar A, El Kissi N, Chinesta F (2009) Multiscale modelling of flows involving short fibersuspensions. Arch Comput Methods Eng, State Art Rev 16:1–30 · Zbl 1170.76333 · doi:10.1007/s11831-008-9027-9
[8] Germain P, Nguyen QS, Suquet P (1983) Continuum thermodynamics. J Appl Mech 50:1010–1020 · Zbl 0536.73004 · doi:10.1115/1.3167184
[9] Lemaitre J, Chaboche J-L (1985) Mecanique des materiaux solides. Dunod, Paris. English version published by Cambridge University Press, Cambridge, 1st edn (1990)
[10] Sansour C, Kollmann FG (1997) On theory and numerics of large viscoplastic deformation. Comput Methods Appl Mech Eng 146:351–369 · Zbl 0898.73024 · doi:10.1016/S0045-7825(96)01235-2
[11] Gonzalez D, Ammar A, Chinesta F, Cueto E (2009) Recent advances on the use of separated representations. Int J Numer Methods Eng
[12] Ryckelynck D (2005) A priori hypereduction method: an adaptive approach. Int J Comput Phys 202:346–366 · Zbl 1288.65178 · doi:10.1016/j.jcp.2004.07.015
[13] Ryckelynck D (2009) Hyper reduction of mechanical models involving internal variables. Int J Numer Methods Eng 77(1):75–89 · Zbl 1195.74299 · doi:10.1002/nme.2406
[14] Vanieck P, Jaak J, Featherstone WE (2003) Truncation of spherical convolution integrals with an isotropic kernel. Stud Geophys Geod 47:455–465 · doi:10.1023/A:1024747114871
[15] Babuska I, Rheinbolt WC (1978) A posteriori error estimates for adaptive finite element comptation. Numer Methods Eng 12:1597–1615 · Zbl 0396.65068 · doi:10.1002/nme.1620121010
[16] Song J, Gelin JC, Barrire T, Liu B (2006) Experiments and numerical modelling of solid state sintering for 316l stainless steel components. J Mater Process Technol 352–355
[17] Gasik M, Zhang B (2000) A constitutive model and FE simulation for the sintering process of powder compacts. Comput Mater Sci 93–101
[18] Bordia RK, Zuo R, Guillon O, Salamone SM, Redel J (2006) Anisotropic constitutive laws for sintering bodies. Acta Mater 111–118
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