Computational homogenization of elastic–plastic composites
This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative vol...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Khdir, Y.K. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013transfer abstract |
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| Umfang: |
7 |
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| Übergeordnetes Werk: |
Enthalten in: One pot synthesis of poly(5-hydroxyl-1,4-naphthoquinone) stabilized gold nanoparticles using the monomer as the reducing agent for nonenzymatic electrochemical detection of glucose - Cooray, M.C. Dilusha ELSEVIER, 2015, New York, NY [u.a.] |
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| Übergeordnetes Werk: |
volume:50 ; year:2013 ; number:18 ; day:15 ; month:08 ; pages:2829-2835 ; extent:7 |
| Links: |
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| DOI / URN: |
10.1016/j.ijsolstr.2013.03.019 |
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ELV039106756 |
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| 520 | |a This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. | ||
| 520 | |a This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. | ||
| 650 | 7 | |a Representative volume element |2 Elsevier | |
| 650 | 7 | |a Computational homogenization |2 Elsevier | |
| 650 | 7 | |a Finite element modeling |2 Elsevier | |
| 650 | 7 | |a Elastic–plastic composites |2 Elsevier | |
| 700 | 1 | |a Kanit, T. |4 oth | |
| 700 | 1 | |a Zaïri, F. |4 oth | |
| 700 | 1 | |a Naït-Abdelaziz, M. |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Cooray, M.C. Dilusha ELSEVIER |t One pot synthesis of poly(5-hydroxyl-1,4-naphthoquinone) stabilized gold nanoparticles using the monomer as the reducing agent for nonenzymatic electrochemical detection of glucose |d 2015 |g New York, NY [u.a.] |w (DE-627)ELV023913754 |
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10.1016/j.ijsolstr.2013.03.019 doi GBVA2013021000018.pica (DE-627)ELV039106756 (ELSEVIER)S0020-7683(13)00128-5 DE-627 ger DE-627 rakwb eng 530 530 DE-600 540 VZ 610 VZ 540 VZ 35.10 bkl Khdir, Y.K. verfasserin aut Computational homogenization of elastic–plastic composites 2013transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. Representative volume element Elsevier Computational homogenization Elsevier Finite element modeling Elsevier Elastic–plastic composites Elsevier Kanit, T. oth Zaïri, F. oth Naït-Abdelaziz, M. oth Enthalten in Elsevier Cooray, M.C. Dilusha ELSEVIER One pot synthesis of poly(5-hydroxyl-1,4-naphthoquinone) stabilized gold nanoparticles using the monomer as the reducing agent for nonenzymatic electrochemical detection of glucose 2015 New York, NY [u.a.] (DE-627)ELV023913754 volume:50 year:2013 number:18 day:15 month:08 pages:2829-2835 extent:7 https://doi.org/10.1016/j.ijsolstr.2013.03.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_70 35.10 Physikalische Chemie: Allgemeines VZ AR 50 2013 18 15 0815 2829-2835 7 045F 530 |
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10.1016/j.ijsolstr.2013.03.019 doi GBVA2013021000018.pica (DE-627)ELV039106756 (ELSEVIER)S0020-7683(13)00128-5 DE-627 ger DE-627 rakwb eng 530 530 DE-600 540 VZ 610 VZ 540 VZ 35.10 bkl Khdir, Y.K. verfasserin aut Computational homogenization of elastic–plastic composites 2013transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. Representative volume element Elsevier Computational homogenization Elsevier Finite element modeling Elsevier Elastic–plastic composites Elsevier Kanit, T. oth Zaïri, F. oth Naït-Abdelaziz, M. oth Enthalten in Elsevier Cooray, M.C. Dilusha ELSEVIER One pot synthesis of poly(5-hydroxyl-1,4-naphthoquinone) stabilized gold nanoparticles using the monomer as the reducing agent for nonenzymatic electrochemical detection of glucose 2015 New York, NY [u.a.] (DE-627)ELV023913754 volume:50 year:2013 number:18 day:15 month:08 pages:2829-2835 extent:7 https://doi.org/10.1016/j.ijsolstr.2013.03.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_70 35.10 Physikalische Chemie: Allgemeines VZ AR 50 2013 18 15 0815 2829-2835 7 045F 530 |
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10.1016/j.ijsolstr.2013.03.019 doi GBVA2013021000018.pica (DE-627)ELV039106756 (ELSEVIER)S0020-7683(13)00128-5 DE-627 ger DE-627 rakwb eng 530 530 DE-600 540 VZ 610 VZ 540 VZ 35.10 bkl Khdir, Y.K. verfasserin aut Computational homogenization of elastic–plastic composites 2013transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. Representative volume element Elsevier Computational homogenization Elsevier Finite element modeling Elsevier Elastic–plastic composites Elsevier Kanit, T. oth Zaïri, F. oth Naït-Abdelaziz, M. oth Enthalten in Elsevier Cooray, M.C. Dilusha ELSEVIER One pot synthesis of poly(5-hydroxyl-1,4-naphthoquinone) stabilized gold nanoparticles using the monomer as the reducing agent for nonenzymatic electrochemical detection of glucose 2015 New York, NY [u.a.] (DE-627)ELV023913754 volume:50 year:2013 number:18 day:15 month:08 pages:2829-2835 extent:7 https://doi.org/10.1016/j.ijsolstr.2013.03.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_70 35.10 Physikalische Chemie: Allgemeines VZ AR 50 2013 18 15 0815 2829-2835 7 045F 530 |
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10.1016/j.ijsolstr.2013.03.019 doi GBVA2013021000018.pica (DE-627)ELV039106756 (ELSEVIER)S0020-7683(13)00128-5 DE-627 ger DE-627 rakwb eng 530 530 DE-600 540 VZ 610 VZ 540 VZ 35.10 bkl Khdir, Y.K. verfasserin aut Computational homogenization of elastic–plastic composites 2013transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. Representative volume element Elsevier Computational homogenization Elsevier Finite element modeling Elsevier Elastic–plastic composites Elsevier Kanit, T. oth Zaïri, F. oth Naït-Abdelaziz, M. oth Enthalten in Elsevier Cooray, M.C. Dilusha ELSEVIER One pot synthesis of poly(5-hydroxyl-1,4-naphthoquinone) stabilized gold nanoparticles using the monomer as the reducing agent for nonenzymatic electrochemical detection of glucose 2015 New York, NY [u.a.] (DE-627)ELV023913754 volume:50 year:2013 number:18 day:15 month:08 pages:2829-2835 extent:7 https://doi.org/10.1016/j.ijsolstr.2013.03.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_70 35.10 Physikalische Chemie: Allgemeines VZ AR 50 2013 18 15 0815 2829-2835 7 045F 530 |
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10.1016/j.ijsolstr.2013.03.019 doi GBVA2013021000018.pica (DE-627)ELV039106756 (ELSEVIER)S0020-7683(13)00128-5 DE-627 ger DE-627 rakwb eng 530 530 DE-600 540 VZ 610 VZ 540 VZ 35.10 bkl Khdir, Y.K. verfasserin aut Computational homogenization of elastic–plastic composites 2013transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. Representative volume element Elsevier Computational homogenization Elsevier Finite element modeling Elsevier Elastic–plastic composites Elsevier Kanit, T. oth Zaïri, F. oth Naït-Abdelaziz, M. oth Enthalten in Elsevier Cooray, M.C. Dilusha ELSEVIER One pot synthesis of poly(5-hydroxyl-1,4-naphthoquinone) stabilized gold nanoparticles using the monomer as the reducing agent for nonenzymatic electrochemical detection of glucose 2015 New York, NY [u.a.] (DE-627)ELV023913754 volume:50 year:2013 number:18 day:15 month:08 pages:2829-2835 extent:7 https://doi.org/10.1016/j.ijsolstr.2013.03.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_70 35.10 Physikalische Chemie: Allgemeines VZ AR 50 2013 18 15 0815 2829-2835 7 045F 530 |
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English |
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Enthalten in One pot synthesis of poly(5-hydroxyl-1,4-naphthoquinone) stabilized gold nanoparticles using the monomer as the reducing agent for nonenzymatic electrochemical detection of glucose New York, NY [u.a.] volume:50 year:2013 number:18 day:15 month:08 pages:2829-2835 extent:7 |
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Enthalten in One pot synthesis of poly(5-hydroxyl-1,4-naphthoquinone) stabilized gold nanoparticles using the monomer as the reducing agent for nonenzymatic electrochemical detection of glucose New York, NY [u.a.] volume:50 year:2013 number:18 day:15 month:08 pages:2829-2835 extent:7 |
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One pot synthesis of poly(5-hydroxyl-1,4-naphthoquinone) stabilized gold nanoparticles using the monomer as the reducing agent for nonenzymatic electrochemical detection of glucose |
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This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. |
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This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. |
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This work describes a computational homogenization methodology to estimate the effective elastic–plastic response of random two-phase composite media. It is based on finite element simulations using three-dimensional cubic cells of different size but smaller than the deterministic representative volume element (DRVE) of the microstructure. We propose to extend the approach developed in the case of elastic heterogeneous media by Drugan and Willis (1996) and Kanit et al. (2003) to elastic–plastic composites. A specific polymer blend, made of two phases with highly contrasted properties, is selected to illustrate this approach; it consists of a random dispersion of elastic rubber spheres in an elastic–plastic glassy polymer matrix. It is found that the effective elastic–plastic response of this particulate composite can be accurately determined by computing a sufficient number of small subvolumes of fixed size extracted from the DRVE and containing different realizations of the random microstructure. In addition, the response of an individual subvolume is found anisotropic whereas the average of all subvolumes leads to recover the isotropic character of the DRVE. The necessary realization number to reach acceptable precision is given for two examples of particle volume fractions. |
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