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Cited by 255

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Modeling and validation of the large deformation inelastic response of amorphous polymers over a wide range of temperatures and strain rates

Open access
Richeton, J., Ahzi, S., Vecchio, K.S., Jiang, F.C., Makradi, A.·2007·International Journal of Solids and Structures

Abstract

Abstract A robust physically consistent three-dimensional constitutive model is developed to describe the finite mechanical response of amorphous polymers over a wide range of temperatures and strain rates, including the rubbery region and for impact loading rates. This thermomechanical model is based on an elastic–viscoplastic rheological approach, wherein the effects of temperature, strain rate, and hydrostatic pressure are accounted for. Intramolecular, as well as intermolecular, interactions under large elastic–inelastic behavior are considered for the mechanisms of deformation and hardening. For a wide range of temperatures and strain rates, our simulated results for poly(methyl methacrylate) (PMMA) and polycarbonate (PC) are in good agreement with experimental observations.

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Crossref · 10.1016/j.ijsolstr.2007.05.018

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Metadata

Authors
Richeton, J., Ahzi, S., Vecchio, K. S., Jiang, F. C., & Makradi, A.
Venue
International Journal of Solids and Structures
Publisher
Elsevier BV
Published
2007-12
Volume
44
Issue
24
Pages
7938-7954
ISSN
0020-7683 (ISSN-L)
OpenAlex
W2087257051
Cited by
255
References
31
FWCI
5.30
Type
journal article
Language
en
Open access
bronze

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The paper
Richeton, J., Ahzi, S., Vecchio, K. S., Jiang, F. C., & Makradi, A. (2007). Modeling and validation of the large deformation inelastic response of amorphous polymers over a wide range of temperatures and strain rates. International Journal of Solids and Structures. https://doi.org/10.1016/j.ijsolstr.2007.05.018

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.