Skip to main content
Top
Published in: Computational Mechanics 6/2016

30-09-2016 | Original Paper

On stochastic FEM based computational homogenization of magneto-active heterogeneous materials with random microstructure

Authors: Dmytro Pivovarov, Paul Steinmann

Published in: Computational Mechanics | Issue 6/2016

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In the current work we apply the stochastic version of the FEM to the homogenization of magneto-elastic heterogeneous materials with random microstructure. The main aim of this study is to capture accurately the discontinuities appearing at matrix-inclusion interfaces. We demonstrate and compare three different techniques proposed in the literature for the purely mechanical problem, i.e. global, local and enriched stochastic basis functions. Moreover, we demonstrate the implementation of the isoparametric concept in the enlarged physical-stochastic product space. The Gauss integration rule in this multidimensional space is discussed. In order to design a realistic stochastic Representative Volume Element we analyze actual scans obtained by electron microscopy and provide numerical studies of the micro particle distribution. The SFEM framework described in our previous work (Pivovarov and Steinmann in Comput Mech 57(1): 123–147, 2016) is extended to the case of the magneto-elastic materials. To this end, the magneto-elastic energy function is used, and the corresponding hyper-tensors of the magneto-elastic problem are introduced. In order to estimate the methods’ accuracy we performed a set of simulations for elastic and magneto-elastic problems using three different SFEM modifications. All results are compared with “brute-force” Monte-Carlo simulations used as reference solution.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Adhikari S (2011) A reduced spectral function approach for the stochastic finite element analysis. Comput Methods Appl Mech Eng 200(21–22):1804–1821MathSciNetCrossRefMATH Adhikari S (2011) A reduced spectral function approach for the stochastic finite element analysis. Comput Methods Appl Mech Eng 200(21–22):1804–1821MathSciNetCrossRefMATH
2.
go back to reference Alsayednoor J, Harrison P, Guo Z (2013) Large strain compressive response of 2-d periodic representative volume element for random foam microstructures. Mech Mater 66:7–20CrossRef Alsayednoor J, Harrison P, Guo Z (2013) Large strain compressive response of 2-d periodic representative volume element for random foam microstructures. Mech Mater 66:7–20CrossRef
3.
go back to reference Andrianov I, Danishevsky V, Tokarzewski S (2000) Quasifractional approximants in the theory of composite materials. Acta Appl Math 61(1–3):29–35MathSciNetCrossRefMATH Andrianov I, Danishevsky V, Tokarzewski S (2000) Quasifractional approximants in the theory of composite materials. Acta Appl Math 61(1–3):29–35MathSciNetCrossRefMATH
4.
go back to reference Andrianov I, Danishevs’kyy VV, Weichert D (2008) Simple estimation on effective transport properties of a random composite material with cylindrical fibres. Z Angew Math Phys 59(5):889–903MathSciNetCrossRefMATH Andrianov I, Danishevs’kyy VV, Weichert D (2008) Simple estimation on effective transport properties of a random composite material with cylindrical fibres. Z Angew Math Phys 59(5):889–903MathSciNetCrossRefMATH
5.
go back to reference Andrianov IV, Danishevs’kyy VV, Kholod EG (2012) Homogenization of viscoelastic composites with fibres of diamond-shaped cross-section. Acta Mech 223(5):1093–1100MathSciNetCrossRefMATH Andrianov IV, Danishevs’kyy VV, Kholod EG (2012) Homogenization of viscoelastic composites with fibres of diamond-shaped cross-section. Acta Mech 223(5):1093–1100MathSciNetCrossRefMATH
6.
go back to reference Andrianov IV, Danishevs’kyy VV, Weichert D (2002) Asymptotic determination of effective elastic properties of composite materials with fibrous square-shaped inclusions. Eur J Mech A/Solids 21(6):1019–1036CrossRefMATH Andrianov IV, Danishevs’kyy VV, Weichert D (2002) Asymptotic determination of effective elastic properties of composite materials with fibrous square-shaped inclusions. Eur J Mech A/Solids 21(6):1019–1036CrossRefMATH
9.
go back to reference Babuska I, Nobile F, Tempone R (2007) A stochastic collocation method for elliptic partial differential equations with random input data. SIAM J Numer Anal 45(3):1005–1034MathSciNetCrossRefMATH Babuska I, Nobile F, Tempone R (2007) A stochastic collocation method for elliptic partial differential equations with random input data. SIAM J Numer Anal 45(3):1005–1034MathSciNetCrossRefMATH
10.
go back to reference Belytschko T, Gracie R, Ventura G (2009) A review of extended/generalized finite element methods for material modeling. Modell Simul Mater Sci Eng 17(4):043,001CrossRef Belytschko T, Gracie R, Ventura G (2009) A review of extended/generalized finite element methods for material modeling. Modell Simul Mater Sci Eng 17(4):043,001CrossRef
11.
go back to reference Castaneda PP, Galipeau E (2011) Homogenization-based constitutive models for magnetorheological elastomers at finite strain. J Mech Phys Solids 59(2):194–215MathSciNetCrossRefMATH Castaneda PP, Galipeau E (2011) Homogenization-based constitutive models for magnetorheological elastomers at finite strain. J Mech Phys Solids 59(2):194–215MathSciNetCrossRefMATH
12.
go back to reference Chatzigeorgiou G, Javili A, Steinmann P (2013) Unified magnetomechanical homogenization framework with application to magnetorheological elastomers. Math Mech Solids 2012:193–211MathSciNetMATH Chatzigeorgiou G, Javili A, Steinmann P (2013) Unified magnetomechanical homogenization framework with application to magnetorheological elastomers. Math Mech Solids 2012:193–211MathSciNetMATH
13.
go back to reference Chevreuil M, Nouy A, Safatly E (2013) A multiscale method with patch for the solution of stochastic partial differential equations with localized uncertainties. Comput Methods Appl Mech Eng 255:255–274MathSciNetCrossRefMATH Chevreuil M, Nouy A, Safatly E (2013) A multiscale method with patch for the solution of stochastic partial differential equations with localized uncertainties. Comput Methods Appl Mech Eng 255:255–274MathSciNetCrossRefMATH
14.
go back to reference Cottereau R (2013) A stochastic-deterministic coupling method for multiscale problems. Application to numerical homogenization of random materials. In Procedia IUTAM. IUTAM Symposium on Multiscale Problems in Stochastic Mechanics, vol. 6, pp 35–43 Cottereau R (2013) A stochastic-deterministic coupling method for multiscale problems. Application to numerical homogenization of random materials. In Procedia IUTAM. IUTAM Symposium on Multiscale Problems in Stochastic Mechanics, vol. 6, pp 35–43
15.
go back to reference Cottereau R, Clouteau D, Ben Dhia H (2011) Localized modeling of uncertainty in the arlequin framework. In: Belyaev AK, Langley RS (eds) IUTAM Symposium on the Vibration Analysis of Structures with Uncertainties, IUTAM Bookseries. Springer, Netherlands, pp 457–468 Cottereau R, Clouteau D, Ben Dhia H (2011) Localized modeling of uncertainty in the arlequin framework. In: Belyaev AK, Langley RS (eds) IUTAM Symposium on the Vibration Analysis of Structures with Uncertainties, IUTAM Bookseries. Springer, Netherlands, pp 457–468
16.
go back to reference Deb MK, Babuska IM, Oden J (2001) Solution of stochastic partial differential equations using galerkin finite element techniques. Comput Methods Appl Mech Eng 190(48):6359–6372MathSciNetCrossRefMATH Deb MK, Babuska IM, Oden J (2001) Solution of stochastic partial differential equations using galerkin finite element techniques. Comput Methods Appl Mech Eng 190(48):6359–6372MathSciNetCrossRefMATH
17.
go back to reference Dimas LS, Giesa T, Buehler MJ (2014) Coupled continuum and discrete analysis of random heterogeneous materials: elasticity and fracture. J Mech Phys Solids 63:481–490MathSciNetCrossRef Dimas LS, Giesa T, Buehler MJ (2014) Coupled continuum and discrete analysis of random heterogeneous materials: elasticity and fracture. J Mech Phys Solids 63:481–490MathSciNetCrossRef
18.
go back to reference Dolbow J, Moes N, Belytschko, T.: Discontinuous enrichment in finite elements with a partition of unity method. Finite Elements in Analysis and Design 36, 235–260, (2000) Robert J. Melosh Medal Competition, Duke University, Durham NC, USA, March 1999 Dolbow J, Moes N, Belytschko, T.: Discontinuous enrichment in finite elements with a partition of unity method. Finite Elements in Analysis and Design 36, 235–260, (2000) Robert J. Melosh Medal Competition, Duke University, Durham NC, USA, March 1999
19.
go back to reference Ernst O, Powell C, Silvester D, Ullmann E (2009) Efficient solvers for a linear stochastic galerkin mixed formulation of diffusion problems with random data. SIAM J Sci Comput 31(2):1424–1447MathSciNetCrossRefMATH Ernst O, Powell C, Silvester D, Ullmann E (2009) Efficient solvers for a linear stochastic galerkin mixed formulation of diffusion problems with random data. SIAM J Sci Comput 31(2):1424–1447MathSciNetCrossRefMATH
20.
go back to reference Ernst OG, Mugler A, Starkloff HJ, Ullmann E (2012) On the convergence of generalized polynomial chaos expansions. ESAIM Math Model Numer Anal 46:317–339MathSciNetCrossRefMATH Ernst OG, Mugler A, Starkloff HJ, Ullmann E (2012) On the convergence of generalized polynomial chaos expansions. ESAIM Math Model Numer Anal 46:317–339MathSciNetCrossRefMATH
22.
go back to reference Fries TP, Belytschko T (2010) The extended/generalized finite element method: An overview of the method and its applications. Int J Numer Methods Eng 84(3):253–304MathSciNetMATH Fries TP, Belytschko T (2010) The extended/generalized finite element method: An overview of the method and its applications. Int J Numer Methods Eng 84(3):253–304MathSciNetMATH
23.
go back to reference Galipeau E, Castaneda PP (2012) The effect of particle shape and distribution on the macroscopic behavior of magnetoelastic composites. Int J Solids Struct 49(1):1–17CrossRef Galipeau E, Castaneda PP (2012) The effect of particle shape and distribution on the macroscopic behavior of magnetoelastic composites. Int J Solids Struct 49(1):1–17CrossRef
24.
go back to reference Galipeau E, Castaneda PP (2013) A finite-strain constitutive model for magnetorheological elastomers: magnetic torques and fiber rotations. J Mech Phys Solids 61(4):1065–1090MathSciNetCrossRef Galipeau E, Castaneda PP (2013) A finite-strain constitutive model for magnetorheological elastomers: magnetic torques and fiber rotations. J Mech Phys Solids 61(4):1065–1090MathSciNetCrossRef
25.
go back to reference Galipeau E, Rudykh S, deBotton G, Castaneda PP (2014) Magnetoactive elastomers with periodic and random microstructures. Int J Solids Struct 51(18):3012–3024CrossRef Galipeau E, Rudykh S, deBotton G, Castaneda PP (2014) Magnetoactive elastomers with periodic and random microstructures. Int J Solids Struct 51(18):3012–3024CrossRef
26.
go back to reference Ghanem RG, Spanos PD (2003) Stochastic finite elements: a spectral approach. Dover Publications, inc, New YorkMATH Ghanem RG, Spanos PD (2003) Stochastic finite elements: a spectral approach. Dover Publications, inc, New YorkMATH
27.
go back to reference Hadigol M, Doostan A, Matthies HG, Niekamp R (2014) Partitioned treatment of uncertainty in coupled domain problems: a separated representation approach. Comput Methods Appl Mech Eng 274:103–124MathSciNetCrossRefMATH Hadigol M, Doostan A, Matthies HG, Niekamp R (2014) Partitioned treatment of uncertainty in coupled domain problems: a separated representation approach. Comput Methods Appl Mech Eng 274:103–124MathSciNetCrossRefMATH
29.
go back to reference Hiriyur B, Waisman H, Deodatis G (2011) Uncertainty quantification in homogenization of heterogeneous microstructures modeled by xfem. Int J Numer Methods Eng 88(3):257–278MathSciNetCrossRefMATH Hiriyur B, Waisman H, Deodatis G (2011) Uncertainty quantification in homogenization of heterogeneous microstructures modeled by xfem. Int J Numer Methods Eng 88(3):257–278MathSciNetCrossRefMATH
30.
go back to reference Hughes T (2012) The finite element method: linear static and dynamic finite element analysis. Dover civil and mechanical engineering. Dover publications, Mineola Hughes T (2012) The finite element method: linear static and dynamic finite element analysis. Dover civil and mechanical engineering. Dover publications, Mineola
31.
go back to reference Javili A, Chatzigeorgiou G, Steinmann P (2013) Computational homogenization in magneto-mechanics. Int J Solids Struct 50(25–26):4197–4216CrossRef Javili A, Chatzigeorgiou G, Steinmann P (2013) Computational homogenization in magneto-mechanics. Int J Solids Struct 50(25–26):4197–4216CrossRef
32.
go back to reference Khoromskij B, Litvinenko A, Matthies H (2009) Application of hierarchical matrices for computing the karhunen-loeve expansion. Computing 84(1–2):49–67MathSciNetCrossRefMATH Khoromskij B, Litvinenko A, Matthies H (2009) Application of hierarchical matrices for computing the karhunen-loeve expansion. Computing 84(1–2):49–67MathSciNetCrossRefMATH
33.
go back to reference Kovetz A (2000) Electromagnetic Theory. Oxford science publications. Oxford University Press, OxfordMATH Kovetz A (2000) Electromagnetic Theory. Oxford science publications. Oxford University Press, OxfordMATH
34.
go back to reference Kucerova A, Sykora J, Rosic B, Matthies HG (2012) Acceleration of uncertainty updating in the description of transport processes in heterogeneous materials. J Comput Appl Math 236(18), 4862 – 4872. In FEMTEC 2011: 3rd international conference on computational methods in engineering and science, May 9–13, 2011 Kucerova A, Sykora J, Rosic B, Matthies HG (2012) Acceleration of uncertainty updating in the description of transport processes in heterogeneous materials. J Comput Appl Math 236(18), 4862 – 4872. In FEMTEC 2011: 3rd international conference on computational methods in engineering and science, May 9–13, 2011
35.
go back to reference Lang C, Doostan A, Maute K (2012) Extended stochastic fem for diffusion problems with uncertain material interfaces. Comput Mech 51(6):1031–1049MathSciNetCrossRefMATH Lang C, Doostan A, Maute K (2012) Extended stochastic fem for diffusion problems with uncertain material interfaces. Comput Mech 51(6):1031–1049MathSciNetCrossRefMATH
36.
go back to reference Lang C, Sharma A, Doostan A, Maute K (2015) Heaviside enriched extended stochastic fem for problems with uncertain material interfaces. Comput Mech 56(5):753–767MathSciNetCrossRefMATH Lang C, Sharma A, Doostan A, Maute K (2015) Heaviside enriched extended stochastic fem for problems with uncertain material interfaces. Comput Mech 56(5):753–767MathSciNetCrossRefMATH
37.
go back to reference Leclerc W, Karamian-Surville P, Vivet A (2013) An efficient stochastic and double-scale model to evaluate the effective elastic properties of 2d overlapping random fibre composites. Comput Mater Sci 69:481–493CrossRef Leclerc W, Karamian-Surville P, Vivet A (2013) An efficient stochastic and double-scale model to evaluate the effective elastic properties of 2d overlapping random fibre composites. Comput Mater Sci 69:481–493CrossRef
38.
go back to reference Legrain G, Cartraud P, Perreard I, Moes N (2011) An x-fem and level set computational approach for image-based modelling: application to homogenization. Int J Numer Methods Eng 86(7):915–934CrossRefMATH Legrain G, Cartraud P, Perreard I, Moes N (2011) An x-fem and level set computational approach for image-based modelling: application to homogenization. Int J Numer Methods Eng 86(7):915–934CrossRefMATH
39.
go back to reference Lucas V, Golinval JC, Paquay S, Nguyen VD, Noels L, Wu L (2015) A stochastic computational multiscale approach; application to MEMS resonators. Comput Methods Appl Mech Eng 294:141–167MathSciNetCrossRef Lucas V, Golinval JC, Paquay S, Nguyen VD, Noels L, Wu L (2015) A stochastic computational multiscale approach; application to MEMS resonators. Comput Methods Appl Mech Eng 294:141–167MathSciNetCrossRef
40.
go back to reference Ma J, Sahraee S, Wriggers P, De Lorenzis L (2015) Stochastic multiscale homogenization analysis of heterogeneous materials under finite deformations with full uncertainty in the microstructure. Comput Mech 55(5):819–835MathSciNetCrossRefMATH Ma J, Sahraee S, Wriggers P, De Lorenzis L (2015) Stochastic multiscale homogenization analysis of heterogeneous materials under finite deformations with full uncertainty in the microstructure. Comput Mech 55(5):819–835MathSciNetCrossRefMATH
41.
go back to reference Ma J, Zhang J, Li L, Wriggers P, Sahraee S (2014) Random homogenization analysis for heterogeneous materials with full randomness and correlation in microstructure based on finite element method and monte-carlo method. Comput Mech 54(6):1395–1414MathSciNetCrossRefMATH Ma J, Zhang J, Li L, Wriggers P, Sahraee S (2014) Random homogenization analysis for heterogeneous materials with full randomness and correlation in microstructure based on finite element method and monte-carlo method. Comput Mech 54(6):1395–1414MathSciNetCrossRefMATH
42.
go back to reference Melenk J, Babuska I (1996) The partition of unity finite element method: basic theory and applications. Comput Methods Appl Mech Eng 139:289–314MathSciNetCrossRefMATH Melenk J, Babuska I (1996) The partition of unity finite element method: basic theory and applications. Comput Methods Appl Mech Eng 139:289–314MathSciNetCrossRefMATH
43.
go back to reference Moes N, Cloirec M, Cartraud P, Remacle JF (2003) A computational approach to handle complex microstructure geometries. Comput Methods Appl Mech Eng 192(2830):3163–3177 Multiscale Computational Mechanics for Materials and StructuresCrossRefMATH Moes N, Cloirec M, Cartraud P, Remacle JF (2003) A computational approach to handle complex microstructure geometries. Comput Methods Appl Mech Eng 192(2830):3163–3177 Multiscale Computational Mechanics for Materials and StructuresCrossRefMATH
44.
go back to reference Moes N, Dolbow J, Belytschko T (1999) A finite element method for crack growth without remeshing. International Journal for Numerical Methods in Engineering 46(1):131–150CrossRefMATH Moes N, Dolbow J, Belytschko T (1999) A finite element method for crack growth without remeshing. International Journal for Numerical Methods in Engineering 46(1):131–150CrossRefMATH
45.
go back to reference Nouy A, Clement A (2010) Extended stochastic finite element method for the numerical simulation of heterogeneous materials with random material interfaces. Int J Numer Methods Eng 83(10):1312–1344MathSciNetCrossRefMATH Nouy A, Clement A (2010) Extended stochastic finite element method for the numerical simulation of heterogeneous materials with random material interfaces. Int J Numer Methods Eng 83(10):1312–1344MathSciNetCrossRefMATH
46.
go back to reference Nouy A, Clement A, Schoefs F, Moes N (2008) An extended stochastic finite element method for solving stochastic partial differential equations on random domains. Comput Methods Appl Mech Eng 197(51–52):4663–4682MathSciNetCrossRefMATH Nouy A, Clement A, Schoefs F, Moes N (2008) An extended stochastic finite element method for solving stochastic partial differential equations on random domains. Comput Methods Appl Mech Eng 197(51–52):4663–4682MathSciNetCrossRefMATH
47.
go back to reference Pajonk O, Rosic BV, Matthies HG (2013) Sampling-free linear bayesian updating of model state and parameters using a square root approach. Comput Geosci 55:70–83 Ensemble Kalman filter for data assimilationCrossRef Pajonk O, Rosic BV, Matthies HG (2013) Sampling-free linear bayesian updating of model state and parameters using a square root approach. Comput Geosci 55:70–83 Ensemble Kalman filter for data assimilationCrossRef
48.
go back to reference Papoulis A, Pillai SU (2001) Probability, random variables and stochastic processes. McGraw-Hill Education, New York Papoulis A, Pillai SU (2001) Probability, random variables and stochastic processes. McGraw-Hill Education, New York
49.
go back to reference Pivovarov D, Steinmann P (2016) Modified sfem for computational homogenization of heterogeneous materials with microstructural geometric uncertainties. Comput Mech 57(1):123–147MathSciNetCrossRefMATH Pivovarov D, Steinmann P (2016) Modified sfem for computational homogenization of heterogeneous materials with microstructural geometric uncertainties. Comput Mech 57(1):123–147MathSciNetCrossRefMATH
50.
go back to reference Rosic B, Matthies H (2008) Computational approaches to inelastic media with uncertain parameters. J Serbian Soc Comput Mech 2(1):28–43 Rosic B, Matthies H (2008) Computational approaches to inelastic media with uncertain parameters. J Serbian Soc Comput Mech 2(1):28–43
51.
go back to reference Rosic B, Matthies H, Zivkovic M (2011) Uncertainty quantification of inifinitesimal elastoplasticity. Sci Tech Rev 61(2):3–9 Rosic B, Matthies H, Zivkovic M (2011) Uncertainty quantification of inifinitesimal elastoplasticity. Sci Tech Rev 61(2):3–9
52.
go back to reference Rosic B, Matthies HG (2011) Plasticity described by uncertain parameters: A variational inequality approach. In: Proceedings of XI International Conference on Computational Plasticity, Fundamentals and Applications (COMPLAS), pp. 385–395 Rosic B, Matthies HG (2011) Plasticity described by uncertain parameters: A variational inequality approach. In: Proceedings of XI International Conference on Computational Plasticity, Fundamentals and Applications (COMPLAS), pp. 385–395
53.
go back to reference Rosic BV (2012) Variational formulations and functional approximation algorithms in stochastic plasticity of materials. Ph.D. thesis, Faculty of Engineering , Kragujevac Rosic BV (2012) Variational formulations and functional approximation algorithms in stochastic plasticity of materials. Ph.D. thesis, Faculty of Engineering , Kragujevac
54.
go back to reference Saad Y (2003) Iterative methods for sparse linear systems, 2nd edn. Society for Industrial and Applied Mathematics, PhiladelphiaCrossRefMATH Saad Y (2003) Iterative methods for sparse linear systems, 2nd edn. Society for Industrial and Applied Mathematics, PhiladelphiaCrossRefMATH
55.
go back to reference Sakata S, Ashida F (2011) Hierarchical stochastic homogenization analysis of a particle reinforced composite material considering non-uniform distribution of microscopic random quantities. Comput Mech 48(5):529–540MathSciNetCrossRefMATH Sakata S, Ashida F (2011) Hierarchical stochastic homogenization analysis of a particle reinforced composite material considering non-uniform distribution of microscopic random quantities. Comput Mech 48(5):529–540MathSciNetCrossRefMATH
56.
go back to reference Sakata S, Ashida F, Enya K (2012) A microscopic failure probability analysis of a unidirectional fiber reinforced composite material via a multiscale stochastic stress analysis for a microscopic random variation of an elastic property. Comput Mater Sci 62:35–46CrossRef Sakata S, Ashida F, Enya K (2012) A microscopic failure probability analysis of a unidirectional fiber reinforced composite material via a multiscale stochastic stress analysis for a microscopic random variation of an elastic property. Comput Mater Sci 62:35–46CrossRef
57.
go back to reference Sakata S, Ashida F, Kojima T (2008) Stochastic homogenization analysis on elastic properties of fiber reinforced composites using the equivalent inclusion method and perturbation method. Int J Solids Struct 45(2526):6553–6565CrossRefMATH Sakata S, Ashida F, Kojima T (2008) Stochastic homogenization analysis on elastic properties of fiber reinforced composites using the equivalent inclusion method and perturbation method. Int J Solids Struct 45(2526):6553–6565CrossRefMATH
58.
go back to reference Sakata S, Ashida F, Zako M (2008) Kriging-based approximate stochastic homogenization analysis for composite materials. Comput Methods Appl Mech Eng 197(2124):1953–1964CrossRefMATH Sakata S, Ashida F, Zako M (2008) Kriging-based approximate stochastic homogenization analysis for composite materials. Comput Methods Appl Mech Eng 197(2124):1953–1964CrossRefMATH
59.
go back to reference Savvas D, Stefanou G, Papadrakakis M, Deodatis G (2014) Homogenization of random heterogeneous media with inclusions of arbitrary shape modeled by xfem. Comput Mech 54(5):1221–1235MathSciNetCrossRefMATH Savvas D, Stefanou G, Papadrakakis M, Deodatis G (2014) Homogenization of random heterogeneous media with inclusions of arbitrary shape modeled by xfem. Comput Mech 54(5):1221–1235MathSciNetCrossRefMATH
60.
go back to reference Shynk JJ (2012) Probability, random variables, and random processes: theory and signal processing applications. Wiley-Interscience, HobokenMATH Shynk JJ (2012) Probability, random variables, and random processes: theory and signal processing applications. Wiley-Interscience, HobokenMATH
61.
go back to reference Spieler C, Kaestner M, Goldmann J, Brummund J, Ulbricht V (2013) Xfem modeling and homogenization of magnetoactive composites. Acta Mech 224(11):2453–2469MathSciNetCrossRefMATH Spieler C, Kaestner M, Goldmann J, Brummund J, Ulbricht V (2013) Xfem modeling and homogenization of magnetoactive composites. Acta Mech 224(11):2453–2469MathSciNetCrossRefMATH
62.
go back to reference Stefanou G (2009) The stochastic finite element method: past, present and future. Comput Methods Appl Mech Eng 198:1031–1051CrossRefMATH Stefanou G (2009) The stochastic finite element method: past, present and future. Comput Methods Appl Mech Eng 198:1031–1051CrossRefMATH
63.
go back to reference Stefanou G (2014) Simulation of heterogeneous two-phase media using random fields and level sets. Front Struct Civil Eng 9(2):114–120MathSciNetCrossRef Stefanou G (2014) Simulation of heterogeneous two-phase media using random fields and level sets. Front Struct Civil Eng 9(2):114–120MathSciNetCrossRef
64.
go back to reference Stefanou G, Nouy A, Clement A (2009) Identification of random shapes from images through polynomial chaos expansion of random level set functions. Int J Numer Methods Eng 79(2):127–155MathSciNetCrossRefMATH Stefanou G, Nouy A, Clement A (2009) Identification of random shapes from images through polynomial chaos expansion of random level set functions. Int J Numer Methods Eng 79(2):127–155MathSciNetCrossRefMATH
65.
go back to reference Stefanou G, Papadrakakis M (2004) Stochastic finite element analysis of shells with combined random material and geometric properties. Comput Methods Appl Mech Eng 193:139–160CrossRefMATH Stefanou G, Papadrakakis M (2004) Stochastic finite element analysis of shells with combined random material and geometric properties. Comput Methods Appl Mech Eng 193:139–160CrossRefMATH
66.
go back to reference Strouboulis T, Babuska I, Copps K (2000) The design and analysis of the generalized finite element method. Comput Methods Appl Mech Eng 181:43–69MathSciNetCrossRefMATH Strouboulis T, Babuska I, Copps K (2000) The design and analysis of the generalized finite element method. Comput Methods Appl Mech Eng 181:43–69MathSciNetCrossRefMATH
69.
go back to reference Ullmann E, Elman HC, Ernst OG (2012) Efficient iterative solvers for stochastic galerkin discretizations of log-transformed random diffusion problems. SIAM J Sci Comput 34(2):659–682MathSciNetCrossRefMATH Ullmann E, Elman HC, Ernst OG (2012) Efficient iterative solvers for stochastic galerkin discretizations of log-transformed random diffusion problems. SIAM J Sci Comput 34(2):659–682MathSciNetCrossRefMATH
70.
go back to reference Vondrejc J, Zeman J, Marek I (2012) Large-Scale Scientific Computing: 8th International Conference, LSSC 2011, Sozopol, Bulgaria, June 6-10, 2011, Revised Selected Papers, chap. Analysis of a Fast Fourier Transform Based Method for Modeling of Heterogeneous Materials, pp. 515–522. Springer Berlin Heidelberg, Berlin, Heidelberg Vondrejc J, Zeman J, Marek I (2012) Large-Scale Scientific Computing: 8th International Conference, LSSC 2011, Sozopol, Bulgaria, June 6-10, 2011, Revised Selected Papers, chap. Analysis of a Fast Fourier Transform Based Method for Modeling of Heterogeneous Materials, pp. 515–522. Springer Berlin Heidelberg, Berlin, Heidelberg
71.
go back to reference Vondrejc J, Zeman J, Marek I (2014) An fft-based galerkin method for homogenization of periodic media. Comput Math Appl 68(3):156–173MathSciNetCrossRef Vondrejc J, Zeman J, Marek I (2014) An fft-based galerkin method for homogenization of periodic media. Comput Math Appl 68(3):156–173MathSciNetCrossRef
72.
go back to reference Xu XF (2007) A multiscale stochastic finite element method on elliptic problems involving uncertainties. Comput Methods Appl Mech Eng 196:2723–2736MathSciNetCrossRefMATH Xu XF (2007) A multiscale stochastic finite element method on elliptic problems involving uncertainties. Comput Methods Appl Mech Eng 196:2723–2736MathSciNetCrossRefMATH
73.
go back to reference Zaccardi C, Chamoin L, Cottereau R, Ben Dhia H (2013) Error estimation and model adaptation for a stochastic-deterministic coupling method based on the arlequin framework. Int J Numer Methods Eng 96(2):87–109MathSciNetCrossRef Zaccardi C, Chamoin L, Cottereau R, Ben Dhia H (2013) Error estimation and model adaptation for a stochastic-deterministic coupling method based on the arlequin framework. Int J Numer Methods Eng 96(2):87–109MathSciNetCrossRef
74.
go back to reference Zienkiewicz O (1971) The finite element method in engineering science. McGraw-Hill, New YorkMATH Zienkiewicz O (1971) The finite element method in engineering science. McGraw-Hill, New YorkMATH
75.
go back to reference Zohdi T, Feucht M, Gross D, Wriggers P (1998) A description of macroscopic damage through microstructural relaxation. Int J Numer Methods Eng 43(3):493–506CrossRefMATH Zohdi T, Feucht M, Gross D, Wriggers P (1998) A description of macroscopic damage through microstructural relaxation. Int J Numer Methods Eng 43(3):493–506CrossRefMATH
Metadata
Title
On stochastic FEM based computational homogenization of magneto-active heterogeneous materials with random microstructure
Authors
Dmytro Pivovarov
Paul Steinmann
Publication date
30-09-2016
Publisher
Springer Berlin Heidelberg
Published in
Computational Mechanics / Issue 6/2016
Print ISSN: 0178-7675
Electronic ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-016-1329-4

Other articles of this Issue 6/2016

Computational Mechanics 6/2016 Go to the issue