Experimental study of the polycarbonate behaviour during complex loadings and comparison with the Boyce, Parks and Argon model predictions

Dreistadt, Cynthia; Bonnet, Anne Sophie; Chévrier, P.; Lipiński, P.

doi:10.1016/j.matdes.2008.11.028

Cited by 42 publications

(38 citation statements)

References 27 publications

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“…Experimental data show that for all strains (even large strains well into the hardening range) the modulus upon reloading is essentially the same as that during the original loading. [31] However, a model based on Eqn. (6) predicts something quite different.…”

Section: Fielding-larson-cates (Flc) Modelmentioning

confidence: 99%

Stochastic model prediction of nonlinear creep in glassy polymers

Medvedev

Caruthers

2015

Polymer

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Nonlinear creep is one of the generic features of the deformation response of glassy polymers, where a rich set of strain vs time responses is observed that depend upon the applied stress and the thermal history used to form the glass. Although existing constitutive models may be able to describe some aspects of nonlinear creep, these models are unable to provide a unified description of the diverse nonlinear creep behaviors exhibited by glassy polymer, where predicting the effects of thermal history has proved especially challenging. In this paper the ability of a recently developed Stochastic Constitutive Model (SCM) to describe nonlinear creep is critically examined, where it is demonstrated that the SCM qualitatively captures all of the major features of nonlinear creep of glassy polymers, including the tertiary creep. In particular the SCM predicts how the duration of the secondary creep and the range of the tertiary creep depend on the aging time prior to deformation. The SCM predicts the existence of Stage IV creep, which comes after the tertiary creep -where examination of nonlinear creep data clearly indicate the presence of Stage IV creep, although heretofore not recognized in the experimental data. The SCM unifies the description of nonlinear creep, and provides a detailed mesoscopic picture of the processes that underlie both strain controlled and stress controlled experiments.

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Section: Fielding-larson-cates (Flc) Modelmentioning

confidence: 99%

Stochastic model prediction of nonlinear creep in glassy polymers

Medvedev

Caruthers

2015

Polymer

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“…Zari et al [9] conducted uniaxial tensile tests on rubber toughened PMMA which indicated that the damage process is due to the generation of nucleation sites for shear bands and this process has a significant influence in mechanical behavior at large strains. More recently, Dreistadt et al [10] investigated the influence of relaxation time and repeated unloadings to different stress levels on bisphenol A polycarbonate. Constitutive models of glassy polymers are frequently based on macromolecular network theory originally designed for rubber elasticity.…”

Section: Introductionmentioning

confidence: 99%

“…Even though the BPA model is capable of capturing monotonie loading accurately, Dreistadt et al [10] showed that the BPA model cannot correctly reproduce unloading and a long-term recovery. In the present paper, we will introduce an extension of the eight-chain BPA model that improves the model predictions during nonmonotonic loading.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the Long-Term Behavior of Glassy Polymers

Holopainen¹,

Wallin

2012

Journal of Engineering Materials and Technology

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The constitutive model for glassy polymers proposed by Arruda and Boy ce (BPA model) is reviewed and compared to experimental data for long-term loading. The BPA model has previously been shown to capture monotonie loading accurately, but for unloading and long-term behavior, the response of the BPA model is found to deviate from experimental data. In the present paper, we suggest an efficient extension that significantly improves the predictive capability of the BPA model during unloading and long-term recovery. The new, extended BPA model {EBPA model) is calibrated to experimental data of polycarbonate (PC) in various loading-unloading situations and deformation states. The numerical treatment of the BPA model associated with the finite element analysis is also discussed. As a consequence of the anisotropic hardening, the plastic spin enters the model. In order to handle the plastic spin in a finite element formulation, an algorithmic plastic spin is introduced. In conjunction with the backward Euler integration scheme use of the algorithmic plastic spin leads to a set of algebraic equations that provides the updated state. Numerical examples reveal that the proposed numerical algorithm is robust and well suited for finite element simulations.

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“…Understanding the deformation behavior under different loading can offer the designer of HDPE products reliable data relevant to practical applications. The study of the loading history is important in engineering design because the mechanical properties and deformation mechanism may be heavily dependent on the applied loading types [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Cyclic Behavior of High Density Polyethylene (HDPE)

Düşünceli¹,

Aydemir²,

Terzi³

2010

AIP Conference Proceedings

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This article presents the mechanical behavior of high density polyethylene (HDPE). Samples were prepared by extracting extruded HDPE pipe. Cyclic and strain rate jump behavior of HDPE were studied under uniaxial tensile loading conditions. The strain jump tests indicated that mechanical behavior of HDPE has deformation memory. Further, it was found that increasing cycle number on cyclic loading test increased strain accumulation amount and HDPE exhibited ratcheting behavior at on loading-unloading-reloading at constant stress level.

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Experimental study of the polycarbonate behaviour during complex loadings and comparison with the Boyce, Parks and Argon model predictions

Cited by 42 publications

References 27 publications

Stochastic model prediction of nonlinear creep in glassy polymers

Stochastic model prediction of nonlinear creep in glassy polymers

Modeling of the Long-Term Behavior of Glassy Polymers

Cyclic Behavior of High Density Polyethylene (HDPE)

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