Home > Research > Publications & Outputs > A new two-step modeling strategy for random mic...

Electronic data

  • Final-CST-final

    Rights statement: This is the author’s version of a work that was accepted for publication in Composites Science and Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Composites Science and Technology, 218, 2022 DOI: 10.1016/j.compscitech.2021.109122

    Accepted author manuscript, 2.17 MB, PDF document

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

Links

Text available via DOI:

View graph of relations

A new two-step modeling strategy for random micro-fiber reinforced composites with consideration of primary pores

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

A new two-step modeling strategy for random micro-fiber reinforced composites with consideration of primary pores. / Cai, H.; Ye, J.; Shi, J. et al.
In: Composites Science and Technology, Vol. 218, 109122, 08.02.2022.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Cai H, Ye J, Shi J, Wang Y, Shi Y, Huang B et al. A new two-step modeling strategy for random micro-fiber reinforced composites with consideration of primary pores. Composites Science and Technology. 2022 Feb 8;218:109122. Epub 2021 Nov 25. doi: 10.1016/j.compscitech.2021.109122

Author

Cai, H. ; Ye, J. ; Shi, J. et al. / A new two-step modeling strategy for random micro-fiber reinforced composites with consideration of primary pores. In: Composites Science and Technology. 2022 ; Vol. 218.

Bibtex

@article{ba3b18ec885c4df1ab7c7dafa38c9231,
title = "A new two-step modeling strategy for random micro-fiber reinforced composites with consideration of primary pores",
abstract = "This paper presents a novel procedure to evaluate mechanical properties of random micro-fiber reinforced composites with consideration of primary pores. To this end, micro-CT experiment is conducted first to detect micro-scale morphology of the constituent materials, including size of pores and arrangement of fibers, etc. On this basis, a two-step modeling strategy with consideration of primary pores is proposed. In the first step, the equivalent mechanical properties of the pore defects and the micro-fibers are determined by the 3D parametric finite volume directly averaging micromechanics (FVDAM), by which an equivalent ellipsoidal reinforcing phase composed of fibers and pores is constructed. In the second step, the equivalent pores and fibers are embedded into matrix materials to build an RVE of the composite to calculate the elastic modulus of the composite. In addition, the 3D parametric FVDAM is further extended to simulate plastic deformation of PEEK matrix under quasi-static tensile loading. The results obtained from the proposed two-step modeling strategy have a good agreement with the results from experiments. ",
keywords = "Mechanical properties (B), Pore defects, Representative volume element (C), Short-fibre composites (A), X-ray computed tomography (D), Computerized tomography, Defects, Fibers, Reinforcement, Mechanical property (B), Modelling strategies, Representative volume elements, Short fibre composites, Short-fiber composite (A), TWo-step model, X-ray computed tomography, Fiber reinforced plastics",
author = "H. Cai and J. Ye and J. Shi and Y. Wang and Y. Shi and B. Huang and Y. Xu and M. Saafi and Jianqiao Ye",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Composites Science and Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Composites Science and Technology, 218, 2022 DOI: 10.1016/j.compscitech.2021.109122",
year = "2022",
month = feb,
day = "8",
doi = "10.1016/j.compscitech.2021.109122",
language = "English",
volume = "218",
journal = "Composites Science and Technology",
issn = "0266-3538",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - A new two-step modeling strategy for random micro-fiber reinforced composites with consideration of primary pores

AU - Cai, H.

AU - Ye, J.

AU - Shi, J.

AU - Wang, Y.

AU - Shi, Y.

AU - Huang, B.

AU - Xu, Y.

AU - Saafi, M.

AU - Ye, Jianqiao

N1 - This is the author’s version of a work that was accepted for publication in Composites Science and Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Composites Science and Technology, 218, 2022 DOI: 10.1016/j.compscitech.2021.109122

PY - 2022/2/8

Y1 - 2022/2/8

N2 - This paper presents a novel procedure to evaluate mechanical properties of random micro-fiber reinforced composites with consideration of primary pores. To this end, micro-CT experiment is conducted first to detect micro-scale morphology of the constituent materials, including size of pores and arrangement of fibers, etc. On this basis, a two-step modeling strategy with consideration of primary pores is proposed. In the first step, the equivalent mechanical properties of the pore defects and the micro-fibers are determined by the 3D parametric finite volume directly averaging micromechanics (FVDAM), by which an equivalent ellipsoidal reinforcing phase composed of fibers and pores is constructed. In the second step, the equivalent pores and fibers are embedded into matrix materials to build an RVE of the composite to calculate the elastic modulus of the composite. In addition, the 3D parametric FVDAM is further extended to simulate plastic deformation of PEEK matrix under quasi-static tensile loading. The results obtained from the proposed two-step modeling strategy have a good agreement with the results from experiments.

AB - This paper presents a novel procedure to evaluate mechanical properties of random micro-fiber reinforced composites with consideration of primary pores. To this end, micro-CT experiment is conducted first to detect micro-scale morphology of the constituent materials, including size of pores and arrangement of fibers, etc. On this basis, a two-step modeling strategy with consideration of primary pores is proposed. In the first step, the equivalent mechanical properties of the pore defects and the micro-fibers are determined by the 3D parametric finite volume directly averaging micromechanics (FVDAM), by which an equivalent ellipsoidal reinforcing phase composed of fibers and pores is constructed. In the second step, the equivalent pores and fibers are embedded into matrix materials to build an RVE of the composite to calculate the elastic modulus of the composite. In addition, the 3D parametric FVDAM is further extended to simulate plastic deformation of PEEK matrix under quasi-static tensile loading. The results obtained from the proposed two-step modeling strategy have a good agreement with the results from experiments.

KW - Mechanical properties (B)

KW - Pore defects

KW - Representative volume element (C)

KW - Short-fibre composites (A)

KW - X-ray computed tomography (D)

KW - Computerized tomography

KW - Defects

KW - Fibers

KW - Reinforcement

KW - Mechanical property (B)

KW - Modelling strategies

KW - Representative volume elements

KW - Short fibre composites

KW - Short-fiber composite (A)

KW - TWo-step model

KW - X-ray computed tomography

KW - Fiber reinforced plastics

U2 - 10.1016/j.compscitech.2021.109122

DO - 10.1016/j.compscitech.2021.109122

M3 - Journal article

VL - 218

JO - Composites Science and Technology

JF - Composites Science and Technology

SN - 0266-3538

M1 - 109122

ER -