Constitutive modeling of nonlinear compressive behavior of fiber reinforced polymer composites

Chen, Guangwei; Xiao-juan, Suo

doi:10.1002/pc.25358

Cited by 7 publications

(5 citation statements)

References 29 publications

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“…[4][5][6][7] Current modeling approaches address only one of these two aspects, either the local fluctuation of the material parameters of linear-elastic material behavior is investigated, or a modeling approach for the nonlinear material behavior is performed considering homogenization methods. [8][9][10][11] A common approach for an elasto-plastic material model is the multiplicative decomposition of the deformation gradient as introduced by Lee 12 and Mandel. 13 Based on this approach, Simo et al derived the framework of the finite strain elasto-plasticity by combining the multiplicative decomposition of the deformation gradient with hyperelastic strain-energy density functions.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, due to the spatial distribution and probabilistic characteristics of the reinforcing elements the material properties vary also over the spatial coordinates 4‐7 . Current modeling approaches address only one of these two aspects, either the local fluctuation of the material parameters of linear‐elastic material behavior is investigated, or a modeling approach for the nonlinear material behavior is performed considering homogenization methods 8‐11 . A common approach for an elasto‐plastic material model is the multiplicative decomposition of the deformation gradient as introduced by Lee 12 and Mandel 13 .…”

Section: Introductionmentioning

confidence: 99%

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Correlation analysis of the elastic‐ideal plastic material behavior of short fiber‐reinforced composites

Rauter

2022

Numerical Meth Engineering

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For the numerical simulation of short fiber-reinforced composites and the correct analysis of the deformation information about the plastic behavior and its spatial distribution is essential. When using purely deterministic modeling approaches information of the probabilistic microstructure is not included in the simulation process. One possible approach for the integration of stochastic information is the use of random fields, which requires information about the correlation structure of all material input parameters. In this study the correlation structure for finite strain elasto-plastic material behavior of short fiber-reinforced composites is analyzed. This approach combines the use of already established procedures for linear-elastic material behavior with a homogenization method for plasticity. The obtained results reveal a complex correlation structure, which is approximated with triangle and exponential correlation functions influenced by the window size. Due to the dependence of the hyperelastic and plastic material parameters on the fiber volume fraction, the strainenergy density function coefficients are cross-correlated with the yield strength of the composite. Subsequently, in a subsequent part of this study numerical simulations of tensile tests are conducted that cover the elastic and plastic domain and include spatially distributed material properties.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Correlation analysis of the elastic‐ideal plastic material behavior of short fiber‐reinforced composites

Rauter

2022

Numerical Meth Engineering

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“…[3,4] The compression process exists both during service time and in thermal forming process, and the stress response of the material during such processes would greatly influence the functional performance and dimensional accuracy of end products respectively. [5] For natural fiber reinforced plastic composite, the poor flowability makes compression molding to be the best forming technique for manufacturing products of irregular structure. [6,7] During the compression molding process the high compression force could force the composite melt to fill the cavity of the mold.…”

Section: Introductionmentioning

confidence: 99%

Effect of compression parameters on stress relaxation behavior of bamboo fiber reinforced polypropylene composites

Jiang

Zeng

2022

Polymer Composites

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A self‐made thermal mechanical analyzer was manufactured to characterized the compression and bending stress relaxation behavior for bamboo fiber reinforced polypropylene composite with different bamboo fiber and coupling agent concentration. The effects of bamboo fiber concentration, interfacial strength, load controlling method, compression speed, and temperature on composite stress relaxation parameters were investigated. The obtained results show that two‐stage relaxation process could be observed for both compression and bending test while shearing relaxation process was a single exponential decay. The relaxation time for slow exponential relaxation process was two orders of magnitude to that for fast relaxation process and the force decay amplitude on the first linear stage was about 3.5 times as much as that on the second exponential decay stage. Both the filling of bamboo fiber and coupling agent could increase the stress relaxation time but higher temperature would promote the movement of polymer chains and lengthen the stress relaxation time. The insights obtained from the experiments and fitting results can offer valuable reference to precisely controlling of dimensional accuracy and production efficiency for the composite products of irregular structure.

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“…Beside this random fields are widely used, e.g. for geosystems [12], thin-walled composite cylinders [13], three-dimensional concrete microstructures [14],and the representation of the continuous mode conversion observed by the propagation of guided ultrasonic waves in thin-walled structures made of fiber-reinforced composite [15]. A first application of random fields in the context of nonlinear behavior for isotropic material is provided by Zheng et al [16].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of the Elastic-Ideal Plastic Material Behavior of Short Fiber-Reinforced Composites Including Its Spatial Distribution with an Experimental Validation

Rauter¹

2022

Preprint

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For the numerical simulation of components made of short fiber-reinforced composites the correct prediction of the deformation including the elastic and plastic behavior and its spatial distribution is essential. When using purely deterministic modeling approaches the information of the probabilistic microstructure is not included in the simulation process. One possible approach for the integration of stochastic information is the use of random fields. In this study numerical simulations of tensile test specimens are conducted utilizing a finite deformation elastic-ideal plastic material model. A selection of the material parameters covering the elastic and plastic domain are represented by cross-correlated second-order Gaussian random fields to incorporate the probabilistic nature of the material parameters. To validate the modeling approach tensile tests until failure are carried out experimentally, that confirm the assumption of spatially distributed material behavior in both the elastic and plastic domain. Since the correlation lengths of the random fields cannot be determined by pure analytic treatments, additionally numerical simulations are performed for different values of the correlation length. The numerical simulations endorse the influence of the correlation length on the overall behavior. For a correlation length of 5mm a good conformity with the experimental results is obtained. Therefore, it is concluded, that the presented modeling approach is suitable to predict the elastic and plastic deformation of a set of tensile test specimens made of short fiber-reinforced composite sufficiently.

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Constitutive modeling of nonlinear compressive behavior of fiber reinforced polymer composites

Cited by 7 publications

References 29 publications

Correlation analysis of the elastic‐ideal plastic material behavior of short fiber‐reinforced composites

Correlation analysis of the elastic‐ideal plastic material behavior of short fiber‐reinforced composites

Effect of compression parameters on stress relaxation behavior of bamboo fiber reinforced polypropylene composites

Numerical Simulation of the Elastic-Ideal Plastic Material Behavior of Short Fiber-Reinforced Composites Including Its Spatial Distribution with an Experimental Validation

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