2009
DOI: 10.1016/j.compositesb.2009.06.004
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A modified micromechanical curved beam analytical model to predict the tension modulus of 2D plain weave fabric composites

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Cited by 20 publications
(12 citation statements)
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“…This difference between the properties in the warp and weft directions is well recognized for most of the composites with woven fibers and has been reported in the literature. [18][19][20][21] Digital image correlation (DIC) method was used to measure the true strain in the gauge length.…”
Section: Gfrementioning
confidence: 99%
“…This difference between the properties in the warp and weft directions is well recognized for most of the composites with woven fibers and has been reported in the literature. [18][19][20][21] Digital image correlation (DIC) method was used to measure the true strain in the gauge length.…”
Section: Gfrementioning
confidence: 99%
“…Textile composites are commonly used in engineering structures (especially in aerospace structures) due to the superior specific stiffness and strength, as well as excellent damage resistance and processing property. [1][2][3][4][5][6] Because of this, there is a growing interest in assessing mechanical properties and failure mechanism for plain weave fabric (PWF) composites using experimental, theoretical and numerical methods. [7][8][9][10][11][12][13] Koohbor et al 14 conducted an experimental investigation to examine the multi-scale deformation and failure mechanisms of PWF composites under uniaxial tension using digital image correlation.…”
Section: Introductionmentioning
confidence: 99%
“…owing to the superior specific stiffness and strength as well as excellent damage resistance and processing property [1][2][3][4][5][6] . Recently, with potential for the wider applications of plain weave fabric (PWF) composite structures, there is growing interest in assessing mechanical properties and failure mechanism for PWF composites using experimental, theoretical and numerical methods [7][8][9][10][11][12][13] .…”
Section: Introductionmentioning
confidence: 99%