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Modeling the viscoplastic behavior of a semicrystalline polymer

Journal Article · · International Journal of Solids and Structures
 [1];  [2];  [3]
  1. Texas A & M Univ., College Station, TX (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. University of Michigan-Dearborn, MI (United States)
  3. Texas A & M Univ., College Station, TX (United States)

In this study, a complex constitutive relation is identified using inverse modeling with the nominal mechanical response as sole experimental input. The methodology is illustrated for a semicrystalline thermoplastic in the presence of strain localization at finite deformations. The experimental database includes cylindrical tensile bars, compression pins and round notched bars loaded at strain rates spanning up to five decades and temperatures below and above Tg. The data is organized into a calibration set and a validation set. The response of tensile specimens is determined using finite element analyses and a two-phase constitutive relation for semicrystalline polymers that accounts for temperature- and rate-sensitive plastic flow, pressure-sensitivity, small-strain softening and large-strain orientational hardening of the amorphous phase, along with the evolution of crystallinity. The large number of constitutive parameters is identified using an optimization tool coupled with the finite element solver and the calibration set from experiments. The methodology is shown to be successful in predicting the response of round notched bars and replicating the effects of temperature and strain rate on the severity of necking in tensile bars. The proposed model identification strategy is both simple and effective in comparison with other elaborate methods that attempt to access intrinsic behavior directly from high-fidelity experimental measurements.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); Qatar National Research Fund (QNRF)
Grant/Contract Number:
NA0003525
OSTI ID:
1887397
Report Number(s):
SAND2022-11379J; 709312
Journal Information:
International Journal of Solids and Structures, Journal Name: International Journal of Solids and Structures Vol. 254-255; ISSN 0020-7683
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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