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Unified treatment of microscopic boundary conditions in computational homogenization method for multiphysics problems

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(1)

Computational & Multiscale

Mechanics of Materials (CM3),

University of Liège, Belgium

CM3

www.ltas-cm3.ulg.ac.be

Unified treatment of microscopic boundary

conditions in computational homogenization method

for multiphysics problems

Van Dung Nguyen

*

, Ling Wu, Lina Homsi, Ludovic Noels

(2)

CM3

September 2016 EMMC15 2

Computational homogenization scheme for micro-structured materials

– Two boundary value problems (BVP) are concurrently solved

• Macroscale BVP • Microscale BVP

– Representative Volume Elements (RVE) extracted from material microstructure – An appropriate boundary condition

– Constitutive laws (a priori known or can be another lower-scale BVP)

– Separation of length scales:

Macroscale Strains

Solve microscale BVP

Stresses &

(3)

Introduction

Computational homogenization scheme for micro-structured materials

– Multiphysics problems can be considered

• Mechanical (Michel et al. 1999, Feyel & Chaboche 2000, …)

• Thermal (Ozdemir et al. 2008, Monteiro et al. 2008, … )

• Thermo-mechanical (Ozdemir et al. 2008, Temizer et al. 2011, …)

• Electro-mechanical (Schröder & Keip 2012, Keip et al. 2014, ...)

• Magneto-mechanical (Javiliet al. 2013, …)

• Electro-magneto-mechanical (Schröderet al. 2015, …)

• Etc. Macroscale Strains Solve microscale BVP Stresses & tangent operators

(4)

CM3

September 2016 EMMC15 4

Computational homogenization scheme for micro-structured materials

– Macroscale BVP

• Formulation depending on homogenization scheme (e.g. first-order, second-order classical Cauchy, Mindlin strain gradient)

– Microscale BVP

• Classical continuum mechanics for the mechanical part

• Conventional steady balance laws for other physical phenomena (thermal, electrical, magnetic) • Fully-coupled constitutive laws are a priori known

Macroscale Strains

Solve microscale BVP

Stresses &

(5)

Introduction

Computational homogenization scheme for micro-structured materials

– Macro-micro transition

• The deformed state of the microscopic BVP is conducted by macroscopic kinematic variables • Macro-micro kinematic equivalence is assumed through volumetric integrals over the RVE • The microscopic boundary condition is given so that macro-micro transition is a priori satisfied

(LDBC, PBC, MKBC, Mixed BC, etc.) Macroscale Strains Solve microscale BVP Stresses & tangent operators -Deformation gradient -Temperature -Temperature gradient -Electrical field -etc.

(6)

CM3

September 2016 EMMC15 6

Computational homogenization scheme for micro-structured materials

– Macro-micro transition

• The deformed state of the microscopic BVP is conducted by macroscopic kinematic variables • Macro-micro kinematic equivalence is assumed through volumetric integrals over the RVE • The microscopic boundary condition is given so that macro-micro transition is a priori satisfied

(LDBC, PBC, MKBC, Mixed BC, etc.)

– Micro-macro transition

• Macroscopic stress quantities and their tangent operators are upscaled based on generalized energy equivalence statements (Hill-Mandel principle)

 An efficient method to compute tangent operators is necessary

Macroscale Strains Solve microscale BVP Stresses & tangent operators -Deformation gradient -Temperature -Temperature gradient -Electrical field -etc. -First PK stress -Thermal flux -Heat capacity -Electric displacement -etc.

(7)

Outline

Microscale BVP in multiphysics

General method to compute tangent operators

Finite element resolution of microscale BVP

Numerical examples

(8)

CM3

September 2016 EMMC15 8

Strong form

– Mechanical field

– Extra-fields

(9)

Microscale BVP in multiphysics

Strong form

– Mechanical field

– Extra-fields

– Fully-coupled constitutive law

Generalized representation

– Field

– Field gradients

(10)

CM3

September 2016 EMMC15 10

Generalized representation

– Strong form

– Fully-coupled constitutive law

• consists of all field components appearing in the constitutive relations • Microscopic tangent operators

(11)

Macroscale Strains

Microscale BVP in multiphysics

Generalized representation

– Strong form

– Fully-coupled constitutive law

• consists of all field components appearing in the constitutive relations • Microscopic tangent operators

Two-scale procedure

Solve microscale BVP Stresses & tangent operators

Microscopic

Generalized

(12)

CM3

September 2016 EMMC15 12

Microscopic boundary condition

– For an arbitrary field k

• First-order:

– Kinematical equivalence

Homogenous part

Fluctuation part

(13)

Microscale BVP in multiphysics

Microscopic boundary condition

– For an arbitrary field k

• First-order:

– Kinematical equivalence

• Satisfied a priori by choosing the boundary condition – LDBC

– PBC

– Interpolation-based PBC (IPBC)

Homogenous part

Fluctuation part

(14)

CM3

September 2016 EMMC15 14

Microscopic boundary condition

– Field equivalence of field k

(15)

Microscale BVP in multiphysics

Micro-macro transition

– Based on the generalized Hill-Mandel principle

– Homogenized stresses

– Quantities other than homogenized stresses (thermo-elastic heating, damage …)

– Homogenized tangent operators

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CM3

September 2016 EMMC15 16

Homogenized tangent operator is estimated at the converged solution

– Homogenized stresses

– Homogenized tangent operators

macroscopic kinematic variable applied to the microscale BVP microscopic unknowns of element e

(17)

General method to compute tangent operators

Homogenized tangent operator is estimated at the converged solution

– Homogenized stresses

– Homogenized tangent operators

– After assembling

• Matrix D can be easily estimated

macroscopic kinematic variable applied to the microscale BVP microscopic unknowns of element e

Need to estimate:

(18)

CM3

September 2016 EMMC15 18

Microscopic boundary condition in FE discretization

– Constraint matrices (C and S) depend on the BC type (LDBC, PBC, IPBC, MKBC, etc.)

macroscopic kinematic variable applied to the microscale BVP microscopic unknowns

(19)

Finite element resolution of microscale BVP

Microscopic boundary condition in FE discretization

– Constraint matrices (C and S) depend on the BC type (LDBC, PBC, IPBC, MKBC, etc.)

Microscopic equilibrium equations with Lagrange multipliers

– Multiplier elimination

• Considering as unknowns only

macroscopic kinematic variable applied to the microscale BVP microscopic unknowns

(20)

CM3

September 2016 EMMC15 20

Microscopic equilibrium equations with Lagrange multipliers

– Linearized system

can be obtained by considering

• Iterative loop

until

(21)

Finite element resolution of microscale BVP

Microscopic equilibrium equations with Lagrange multipliers

– Linearized system

can be obtained by considering the linearized system at the converged solution

• Multiple right hand side system

(22)

CM3

September 2016 EMMC15 22

Microscopic equilibrium equations with Lagrange multipliers

– Linearized system

can be obtained by considering the linearized system at the converged solution

• Multiple right hand side system

• Obtained by using the microscopic stiffness matrix

If the direct solver (e.g. LU) is used to solve the microscale BVP, matrix

is

already factorized. This multiple RHS system then reconsiders this factorized

matrix  computational time is largely reduced

(23)

Finite element resolution of microscale BVP

Microscopic boundary condition in FE discretization

– Constraint matrices (C and S) depend on the BC type (LDBC, PBC, IPBC, MKBC, etc.)

Microscopic equilibrium equations with constraint elimination method

– Total unknowns is decomposed into

• Internal part • Dependent part • Independent part • Direct constraint part

– True unknowns

macroscopic kinematic variable applied to the microscale BVP microscopic unknowns

(24)

CM3

September 2016 EMMC15 24

We can have a similar result with the constraint elimination method

can be obtained by considering the linearized system at the converged solution

• Multiple right hand side system

(25)

Finite element resolution of microscale BVP

We can have a similar result with the constraint elimination method

can be obtained by considering the linearized system at the converged solution

• Multiple right hand side system

• Obtained by using the microscopic stiffness matrix

(26)

CM3

September 2016 EMMC15 26

Computation efficiency

– Linear elastic material

– A unit cell consisting of a spherical void of radius

– RVE dimensions ranging from to

1 2 3 4

10-2 100 102 104

Number of unit cells

C omput atio n ti m e (s)

CONDEN [Miehe & Koch 2002 ] DISP-ELIM

(27)

Numerical examples

Fully-coupled thermo-elastoplastic problem

(28)

CM3

September 2016 EMMC15 28

Fully-coupled thermo-elastoplastic problem

– Geometry

– Fully-coupled thermo-elastoplastic law

• Thermal softening ( )

• Mechanical heating characterized by the Taylor-Quinney factor

(29)

Numerical examples

Fully-coupled thermo-elastoplastic problem

0 5 10 15 20 0 1 2 3 4 5 -Vertical displacement (mm) H oriz on tal r ea ct ion f orce (k N ) PBC

Coons-Lagrange (Nguyen et al. 2012) Coons-Cubic Spline (Nguyen et al. 2012)

(30)

CM3

September 2016 EMMC15 30

An arbitrary kind of microscopic boundary condition can be applied in multi-scale

computational homogenization analyses

The macroscopic tangent operators can be directly estimated without any

significant computational cost

The capability of the proposed procedure is demonstrated in the microscopic

analyses as well as in a fully-coupled thermo-mechanical two-scale problem

(31)

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