Determination of the minimum size of a statistical representative volume element from a fibre-reinforced composite based on point pattern statistics

被引：5
|
作者：
Zangenberg, J. [1 ,2 ]
Brondsted, P. [2 ]
机构：
[1] LM Wind Power Blades, Composite Mech, DK-6000 Kolding, Denmark
[2] Tech Univ Denmark, Dept Wind Energy, Sect Composites & Mat Mech, DK-4000 Roskilde, Denmark
来源：
SCRIPTA MATERIALIA | 2013年 / 68卷 / 07期
关键词：
2-D quantitative analysis; Scanning electron microscopy (SEM); Fibre-reinforced composites; Glass fibre; Monte Carlo simulation;
D O I：
10.1016/j.scriptamat.2012.11.032
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
In a previous study, Trias et al. [1] determined the minimum size of a statistical representative volume element (SRVE) of a unidirectional fibre-reinforced composite primarily based on numerical analyses of the stress/strain field. In continuation of this, the present study determines the minimum size of an SRVE based on a statistical analysis on the spatial statistics of the fibre packing patterns found in genuine laminates, and those generated numerically using a microstructure generator. (C) 2012 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：503 / 505
页数：3
相关论文
共 18 条
  • [1] A two-scale method for matrix cracking probability in fibre-reinforced composites based on a statistical representative volume element
    Trias, Daniel
    Costa, Josep
    Fiedler, Bodo
    Hobbiebrunken, Thomas
    Hurtado, Jorge. E.
    COMPOSITES SCIENCE AND TECHNOLOGY, 2006, 66 (11-12) : 1766 - 1777
  • [2] Determination of the critical size of a statistical representative volume element (SRVE) for carbon reinforced polymers
    Trias, D.
    Costa, J.
    Turon, A.
    Hurtado, J. E.
    ACTA MATERIALIA, 2006, 54 (13) : 3471 - 3484
  • [3] On the minimum size of Representative Volume Element: An n-point probability approach
    Lydzba, D.
    Rozanski, A.
    HARMONISING ROCK ENGINEERING AND THE ENVIRONMENT, 2012, : 2107 - 2112
  • [4] Determination of cohesive parameters for fibre-reinforced composite interfaces based on finite element analysis and machine learning
    Yuan, Mingqing
    Zhao, Haitao
    Liu, Shen
    Ren, Hantao
    Zhang, Boming
    Sun, Xinyang
    Chen, Ji'an
    JOURNAL OF COMPOSITE MATERIALS, 2022, 56 (27) : 4113 - 4122
  • [5] Determination of the size of the representative volume element for random composites: statistical and numerical approach
    Kanit, T
    Forest, S
    Galliet, I
    Mounoury, V
    Jeulin, D
    INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 2003, 40 (13-14) : 3647 - 3679
  • [6] Determination of void statistics and statistical representative volume elements in carbon fiber-reinforced thermoplastic prepregs
    Zhang, Danning
    Heider, Dirk
    Gillespie, John W., Jr.
    JOURNAL OF THERMOPLASTIC COMPOSITE MATERIALS, 2017, 30 (08) : 1103 - 1119
  • [7] Determination of the representative volume element model critical size for carbon fiber reinforced polymer composites
    Bai, Wenjun
    Gong, Zuer
    Li, Yuan
    Liu, Jinxiang
    COMPOSITES SCIENCE AND TECHNOLOGY, 2023, 234
  • [8] Wang tiling aided statistical determination of the Representative Volume Element size of random heterogeneous materials
    Doškář, Martin (martin.doskar@fsv.cvut.cz), 1600, Elsevier Ltd (70):
  • [9] Wang tiling aided statistical determination of the Representative Volume Element size of random heterogeneous materials
    Doskar, Martin
    Zeman, Jan
    Jaruskova, Daniela
    Novak, Jan
    EUROPEAN JOURNAL OF MECHANICS A-SOLIDS, 2018, 70 : 280 - 295
  • [10] Determination of a Representative Volume Element Based on the Variability of Mechanical Properties with Sample Size in Bread
    Ramirez, Cristian
    Young, Ashley
    James, Bryony
    Aguilera, Jose M.
    JOURNAL OF FOOD SCIENCE, 2010, 75 (08) : E516 - E521
12