Home Mathematics Analysis of the embedded cell method in 2D for the numerical homogenization of metal-ceramic composite materials
Article
Licensed
Unlicensed Requires Authentication

Analysis of the embedded cell method in 2D for the numerical homogenization of metal-ceramic composite materials

  • ORCID logo EMAIL logo , ORCID logo and ORCID logo
Published/Copyright: April 28, 2024

Abstract

In this paper, we extend our analysis of the embedding cell method, an algorithm which has been developed for the numerical homogenization of metal-ceramic composite materials, from [W.-P. Düll, B. Hilder and G. Schneider, Analysis of the embedded cell method in 1D for the numerical homogenization of metal-ceramic composite materials, J. Appl. Anal. 24 2018, 1, 71–80]. We show the convergence of the iteration scheme of this algorithm and the coincidence of the material properties predicted by the limit with the effective material properties provided by the analytical homogenization theory for two-dimensional linear hyperelastic isotropic materials with constant shear modulus and slightly varying first Lamé parameter.

Award Identifier / Grant number: EXC 2075-390740016

Funding statement: The research is partially supported by the Deutsche Forschungsgemeinschaft DFG through the cluster of excellence “SimTech” under EXC 2075-390740016.

A Technical results

In the appendix we collect some technical results, which are needed in the previous sections.

A.1 Generalized approximation results

In this subsection, two generalized approximation results will be proven. The first one gives a finite power series representation for a solution of the tensile problem if λ is given by a power series in ε. The second one states that the solution can be represented as a power series in ε if λ = λ 0 + ε λ 1 , which is the case in our paper. Both proofs rely on the estimates provided by Theorem 1.

Theorem 6.

Let 0 < ε < ε 0 , μ μ 0 > 0 , m N and let λ ε be given by

λ ε = k = 0 m ε k λ k + 𝒪 ( ε m + 1 )

with λ 0 R + and λ k L ( Ω ) for k = 0 , , m , independent of ε. Then, for sufficiently small ε 0 there exist functions u k for k = 0 , , m , with u 0 W l and u k W 0 for k 1 such that for the solution u ε W l of

(A.1) Ω λ ε tr ( s u ε ) tr ( s v ) + 2 μ s u ε : s v d x = 0

for all v W 0 satisfies

(A.2) u ε - k = 0 m ε k u k = 𝒪 ( ε m + 1 )

with respect to the H 1 -norm.

Proof.

Let u 0 𝒲 l and u k 𝒲 0 , k = 1 , , m , respectively, be the unique weak solutions of

(A.3) Ω [ λ 0 tr ( s u 0 ) I + 2 μ 0 s u 0 ] : s v d x = 0 ,
(A.4) Ω [ λ 0 tr ( s u k ) I + 2 μ 0 s u k ] : s v d x = - i = 0 k - 1 Ω λ k - i tr ( s u i ) tr ( s v ) 𝑑 x

for all v 𝒲 0 . Then the solution u 0 is given by

(A.5) u 0 = ( - ν 0 l 0 0 l ) x + ( 1 2 ν 0 l 0 ) with  ν 0 = λ 0 λ 0 + 2 μ 0

and using Theorem 1, we have for u k , k = 1 , , m ,

u k H 1 ( Ω ) C i = 0 k - 1 Ω λ k - i tr ( s u i ) tr ( s v ) 𝑑 x 𝒲 0
C i = 0 k - 1 λ k - i L ( Ω ) u i H 1 ( Ω ) .

In particular, the λ k are independent of ε. Hence, there exist constants C k > 0 for k = 0 , , m independently of ε such that

(A.6) u k H 1 ( Ω ) C k .

Now, define

(A.7) u approx ε := k = 0 m ε k u k ,

which is an element of 𝒲 l . Then u approx ε satisfies

Ω λ ε tr ( s u approx ε ) tr ( s v ) + 2 μ s u approx ε : s v d x = - F ~ ( v ) + 𝒪 ( ε m + 1 )

for all v 𝒲 0 , where

F ~ ( v ) = i = 0 m i + j > m Ω ε i + j λ i tr ( s u j ) tr ( s v ) 𝑑 x .

Therefore, R := u ε - u approx ε solves

Ω λ ε tr ( s R ) tr ( s v ) + 2 μ s R : s v = F ~ ( v ) + 𝒪 ( ε m + 1 )

for all v 𝒲 0 and we can use Theorem 1 again to obtain

R H 1 ( Ω ) C F ~ 𝒲 0 + 𝒪 ( ε m + 1 )
= C sup v 𝒲 0 , v H 1 ( Ω ) = 1 | i = 0 m i + j > m Ω ε i + j λ i tr ( s u j ) tr ( s v ) 𝑑 x | + 𝒪 ( ε m + 1 )
ε m + 1 C i = 0 m i + j > m ε i + j - m - 1 λ i L ( Ω ) u j H 1 ( Ω ) + 𝒪 ( ε m + 1 )
ε m + 1 C i = 0 m i + j > m ε i + j - m - 1 λ i L ( Ω ) C j + 𝒪 ( ε m + 1 )
ε m + 1 C ~

for constants C , C ~ > 0 , independent of ε, which yields (A.2). ∎

Theorem 7.

There exists an ε 0 > 0 such that the solution u ε W l of

(A.8) Ω λ ε tr ( s u ε ) tr ( s v ) + 2 μ s u ε : s v d x = 0

for all v W 0 , where 0 < ε ε 0 , λ ε = λ 0 + ε λ pert , λ pert L ( Ω ) , λ 0 R + and μ μ 0 R + , has the representation

(A.9) u ε = k = 0 ε k u k ,

which converges absolutely in H 1 for ε [ 0 , ε 0 ) , u 0 W l and u k W 0 for k 1 . Furthermore, there exists a constant C > 0 independently of k , ε such that

(A.10) u k H 1 ( Ω ) C k λ pert L ( Ω ) k u 0 H 1 ( Ω )

for all k 0 .

Proof.

Inserting the ansatz (A.9) into (A.8) yields

Ω [ λ 0 tr ( s u 0 ) I + 2 μ s u 0 ] : s v d x = 0 ,
Ω [ λ 0 tr ( s u k ) I + 2 μ s u k ] : s v d x = - Ω λ pert tr ( s u k - 1 ) tr ( s v ) 𝑑 x

for k 1 and all v 𝒲 0 . Notice that u 0 𝒲 0 is given by (A.5). By Theorem 1 there exists a C > 0 being independent of ε > 0 such that

u k H 1 ( Ω ) C λ pert L ( Ω ) u k - 1 H 1 ( Ω ) .

By induction we obtain

u k H 1 ( Ω ) C k λ pert L ( Ω ) k u 0 H 1 ( Ω ) .

Hence, the series (A.9) converges absolutely for

ε < 1 C λ pert L ( Ω )

and since H 1 ( Ω ) is a Banach space, the series also converges in H 1 . Because the left-hand-side of equation (A.8) defines a continuous bilinear form in H 1 , it follows that (A.9) is a solution of (A.8) satisfying (A.10). ∎

A.2 Well-posedness of the embedded cell method

In this subsection, we prove that in the case of a slightly varying first Lamé parameter λ there exists a unique equivalent first Lamé parameter λ equiv + , which is independent of the choice of the tensile length l. This implies that in this case the embedded cell Algorithm 2 is well posed and the limit λ dummy is independent of l.

Lemma 6.

Let ε > 0 , λ ε L ( Ω ) with λ ε = λ 0 + ε λ pert , λ 0 > 0 , μ μ 0 > 0 and l > 0 . Then there exists an ε 0 > 0 such that for all ε [ 0 , ε 0 ) there exists a unique equivalent first Lamé parameter λ equiv R + , which satisfies (3.6).

Proof.

If there exists an equivalent first Lamé parameter, then, due to (2.15), (3.5) and (A.5), it has to satisfy (3.6). By analogous calculations as in the proof of Lemma 3 we obtain that under the assumptions of the lemma the tensile force F [ λ ε , μ , l ] has the expansion

F [ λ ε , μ , l ] = F 0 + ε F 1 + 𝒪 ( ε 2 )

with

F 0 = ( 1 - ν 0 ) l λ 0 + 2 μ l > 0 , F 1 = ( 1 - ν 0 ) 2 l Ω λ pert 𝑑 x .

Recalling that ν 0 = λ 0 λ 0 + 2 μ , we find that 2 μ l < F 0 < 4 μ l since λ 0 , μ > 0 . Therefore, for sufficiently small ε it holds that 2 μ l < F [ λ ε , μ , l ] < 4 μ l . Hence, for sufficiently small ε 0 > 0 and ε [ 0 , ε 0 ) equation (3.6) has a unique solution λ equiv with

λ equiv = ( F 0 + ε F 1 - 2 μ l ) ( 2 l - F 0 + ε F 1 2 μ ) - 1 + 𝒪 ( ε 2 ) = λ 0 + ε Ω λ pert 𝑑 x + 𝒪 ( ε 2 ) > 0 ,

which proves the lemma. ∎

Lemma 7.

Let ε > 0 , λ ε L ( Ω ) with λ ε = λ 0 + ε λ pert , λ 0 > 0 , μ μ 0 > 0 and l > 0 . Then the equivalent first Lamé parameter λ equiv does not depend on l.

Proof.

Let L : + H 1 ( Ω , 2 ) be the mapping which maps a given prescribed tensile length l to the corresponding weak solution u 𝒲 l of (2.3)–(2.6). Moreover, let F u : Range ( L ) be defined by

u Ω λ tr ( s u ) + 2 μ 2 u 2 d x .

Then F l : + with F l = F u L is linear and hence, there exists an a independent of l such that F l = a l . This yields

λ equiv = ( F l - 2 μ l ) ( 2 l - F l 2 μ ) - 1 = ( a - 2 μ ) ( 2 - a 2 μ ) - 1 ,

which is independent of l. ∎

Acknowledgements

The authors are grateful for discussions with Siegfried Schmauder and Alexander Mielke and thank the referees for useful comments.

References

[1] P. G. Ciarlet, Mathematical Elasticity. Vol. I, Stud. Math. Appl. 20, North-Holland, Amsterdam, 1994. Search in Google Scholar

[2] D. Cioranescu and P. Donato, An Introduction to Homogenization, Oxford Lecture Ser. Math. Appl. 17, Oxford University, Oxford, 1999. 10.1093/oso/9780198565543.001.0001Search in Google Scholar

[3] M. Dong and S. Schmauder, Modeling of metal matrix composites by a self-consistent embedded cell model, Acta Mater. 44 (1996), 2465–2478. 10.1016/1359-6454(95)00345-2Search in Google Scholar

[4] W.-P. Düll, B. Hilder and G. Schneider, Analysis of the embedded cell method in 1D for the numerical homogenization of metal-ceramic composite materials, J. Appl. Anal. 24 (2018), no. 1, 71–80. 10.1515/jaa-2018-0007Search in Google Scholar

[5] Z. Hashin, The elastic moduli of heterogeneous materials, Trans. ASME Ser. E. J. Appl. Mech. 29 (1962), 143–150. 10.1115/1.3636446Search in Google Scholar

[6] Z. Hashin and S. Shtrikman, A variational approach to the theory of the elastic behaviour of multiphase materials, J. Mech. Phys. Solids 11 (1963), 127–140. 10.1016/0022-5096(63)90060-7Search in Google Scholar

[7] V. V. Jikov, S. M. Kozlov and O. A. Oleĭnik, Homogenization of Differential Operators and Integral Functionals, Springer, Berlin, 1994. 10.1007/978-3-642-84659-5Search in Google Scholar

[8] V. Salit and D. Gross, On the convergence of the iterative self-consistent embedded cell model, Comput. Mater. Sci. 81 (2014), 199–204. 10.1016/j.commatsci.2013.08.014Search in Google Scholar

[9] S. Schmauder and L. Mishnaevsky, Micromechanics and Nanosimulation of Metals and Composites: Advanced Methods and Theoretical Concepts, Springer, Berlin, 2009. 10.1007/978-3-540-78678-8Search in Google Scholar

[10] L. Tartar, The General Theory of Homogenization, Lect. Notes Unione Mat. Ital. 7, Springer, Berlin, 2009. Search in Google Scholar

[11] R. Temam, Navier–Stokes Equations, AMS Chelsea, Providence, 2001. 10.1090/chel/343Search in Google Scholar

Received: 2023-10-13
Revised: 2024-04-03
Accepted: 2024-04-04
Published Online: 2024-04-28
Published in Print: 2025-06-01

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 20.3.2026 from https://www.degruyterbrill.com/document/doi/10.1515/jaa-2023-0124/html
Scroll to top button