An Investigation on triaxial compression of flexible fiber packings

Guo, Yu; Li, Yanjie; Liu, Qingzhao; Jin, Hanhui; Xu, D.; Wassgren, Carl; Curtis, Jennifer

doi:10.1002/aic.16946

Cited by 15 publications

(6 citation statements)

References 30 publications

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“…In the present work, the ratio of cylinder diameter to fiber length is 1.33, which is slightly smaller than 1.5. In the triaxial compression tests of flexible fibers by Guo et al, 37 it was found that smaller compressive stresses and smaller solid volume fractions are obtained for the smaller sample, due to the effect of the larger void fractions close to the bounding walls. As the sample size increases, this wall‐boundary effect is reduced so that the compressive stress and solid volume fraction tend to converge.…”

Section: Modeling Uniaxial Compression Of Elastic Fibersmentioning

confidence: 97%

Discrete element method models of elastic and elastoplastic fiber assemblies

Guo

Liu

et al. 2021

AIChE Journal

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Geometry‐dependency and plasticity are considered in the contact force models for the discrete element method simulations of elastic and elastoplastic fiber assemblies subject to uniaxial compression. It is observed that the contact force models have a significant impact on compressive loads. A simplified normal contact force model leads to smaller loads at large solid volume fractions compared to the experimental results, while the present geometry‐dependent models give better predictions. Simulations with a simple Coulombic tangential contact force model (considering sliding friction only) significantly underestimate the loads, while a Mindlin tangential force model that considers static friction improves the predictions. For the modeling of the fibers that undergo large plastic deformations, plasticity should be considered for both the fiber bending and fiber–fiber normal contact in order to obtain correct simulation results. Elastic models for fiber–fiber contact and fiber bending deformation remarkably overpredict the loads for the plastic fibers.

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Section: Modeling Uniaxial Compression Of Elastic Fibersmentioning

confidence: 97%

Discrete element method models of elastic and elastoplastic fiber assemblies

Guo

Liu

et al. 2021

AIChE Journal

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“…Coordination number, defined as an average number of contacting neighbors per fiber, and energy per fiber started to rise at a smaller solid volume fraction for the longer fibers than for the short ones [ 3 ]. Fiber stiffness had an impact on the compression behaviors [ 6 , 7 , 8 , 9 ]. The pressure curves as a function of sample strain became steeper as the fiber stiffness increased [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…Fiber stiffness had an impact on the compression behaviors [ 6 , 7 , 8 , 9 ]. The pressure curves as a function of sample strain became steeper as the fiber stiffness increased [ 6 ]. The addition of a small fraction of stiffer fibers to a bed of very flexible fibers could significantly increase the bulk stiffness of fiber bed by orders of magnitude [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of Fiber Shape on Mechanical Properties of Fiber Assemblies

Guo

2023

Materials

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The effects of fiber shape on the mechanical responses of fiber assemblies under compression, tension, and shear deformations are numerically investigated using the discrete element method (DEM). Simulations of the compression of ring-shaped fibers are consistent with experimental results, verifying the discrete element method code. In the compressive tests of S-shaped fibers, pressure exhibits a nonmonotonic dependence on fiber curvature; while in the tensile tests, yield tensile stress generally decreases with increasing fiber curvature. In the shear tests, yield shear stress decreases with increasing fiber curvature for the S-shaped fibers, and the smallest yield shear stresses and the smallest coordination numbers are obtained for U-shaped and Z-shaped fibers. It is interesting to observe that for the assemblies of various fiber shapes, yield shear stress increases with increasing maximum Feret diameter of the fibers, which characterizes the largest dimension of a fiber between two parallel tangential lines. These novel observations of the effects of fiber shape provide some guidelines for material designs with the fibers.

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“…For example, the radius of curvature of adhesion-stabilized non-cross-linked fiber networks is of the order of the elastocapillary length LEC=EI/γ, where EI is the flexural rigidity or bending stiffness of the fibers and γ is the adhesion energy per unit length (Picu and Sengab, 2018). Similar approaches have been used to represent flexible fibers using sphero-cylindrical discrete elements in (Guo et al , 2018, 2020; Langston et al , 2015).…”

Section: Introductionmentioning

confidence: 99%

Fast and accurate computation of interactions between linear fiber segments

Pal

2021

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PurposeFiber networks represent a vast class of materials, which can be modeled by representing its microstructure using one-dimensional fiber embedded in three-dimensional space. Investigating the statics, dynamics and thermodynamics of such structures from computational first principles requires the efficient estimation of cohesive-repulsive energies and forces between interacting fiber segments. This study offers a fast, efficient and effective computational methodology to estimate such interactions which can be coupled with Hamiltonian mechanics to simulate the behavior of fibrous systems.Design/methodology/approachThis method preserves the uniformly continuous distribution of particles on the line segments and utilizes adaptive numerical integration of relevant distance-distribution functions to estimate the effective interaction energy and forces.FindingsThis method is found to be cheaper to compute and more accurate than the corresponding discrete scheme. This scheme is also versatile in the sense that any pair-wise interaction model can be used.Research limitations/implicationsThe scheme depends on the availability of a suitable pair-interaction potential, such as a Lennard-Jones potential or Morse potential. Additionally, it can only be used for systems which are purely fibrous in nature. For example, fiber composites with a non-fibrous matrix are not addressed.Practical implicationsPaper, woven and hair can be represented as purely fibrous at some relevant length scales and are thus excellent candidate systems for this scheme.Originality/valueThis paper presents a novel method which allows rapid and accurate implementation of an otherwise computationally expensive process.

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An Investigation on triaxial compression of flexible fiber packings

Cited by 15 publications

References 30 publications

Discrete element method models of elastic and elastoplastic fiber assemblies

Discrete element method models of elastic and elastoplastic fiber assemblies

Effects of Fiber Shape on Mechanical Properties of Fiber Assemblies

Fast and accurate computation of interactions between linear fiber segments

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