Poisson's Ratio of a Hyperelastic Foam Under Quasi-static and Dynamic Loading
Abstract
Poisson's ratio is a material constant representing compressibility of material volume. However, when soft, hyperelastic materials such as silicone foam are subjected to large deformation into densification, the Poisson's ratio may rather significantly change, which warrants careful consideration in modeling and simulation of impact/shock mitigation scenarios where foams are used as isolators. The evolution of Poisson's ratio of silicone foam materials has not yet been characterized, particularly under dynamic loading. In this study, radial and axial measurements of specimen strain are conducted simultaneously during quasi-static and dynamic compression tests to determine the Poisson's ratio of silicone foam. The Poisson's ratio of silicone foam exhibited a transition from compressible to nearly incompressible at a threshold strain that coincided with the onset of densification in the material. Poisson's ratio as a function of engineering strain was different at quasi-static and dynamic rates. Here, the Poisson's ratio behavior is presented and can be used to improve constitutive modeling of silicone foams subjected to a broad range of mechanical loading.
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1457403
- Report Number(s):
- SAND-2018-1802J
Journal ID: ISSN 0734-743X; PII: S0734743X1830160X
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- International Journal of Impact Engineering
- Additional Journal Information:
- Journal Volume: 123; Journal Issue: 2019; Journal ID: ISSN 0734-743X
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; 42 ENGINEERING; Poisson's ratio; Soft material; Kolsky bar; Hyperelastic; Foam
Citation Formats
Sanborn, Brett, and Song, Bo. Poisson's Ratio of a Hyperelastic Foam Under Quasi-static and Dynamic Loading. United States: N. p., 2018.
Web. doi:10.1016/j.ijimpeng.2018.06.001.
Sanborn, Brett, & Song, Bo. Poisson's Ratio of a Hyperelastic Foam Under Quasi-static and Dynamic Loading. United States. https://doi.org/10.1016/j.ijimpeng.2018.06.001
Sanborn, Brett, and Song, Bo. Sun .
"Poisson's Ratio of a Hyperelastic Foam Under Quasi-static and Dynamic Loading". United States. https://doi.org/10.1016/j.ijimpeng.2018.06.001. https://www.osti.gov/servlets/purl/1457403.
@article{osti_1457403,
title = {Poisson's Ratio of a Hyperelastic Foam Under Quasi-static and Dynamic Loading},
author = {Sanborn, Brett and Song, Bo},
abstractNote = {Poisson's ratio is a material constant representing compressibility of material volume. However, when soft, hyperelastic materials such as silicone foam are subjected to large deformation into densification, the Poisson's ratio may rather significantly change, which warrants careful consideration in modeling and simulation of impact/shock mitigation scenarios where foams are used as isolators. The evolution of Poisson's ratio of silicone foam materials has not yet been characterized, particularly under dynamic loading. In this study, radial and axial measurements of specimen strain are conducted simultaneously during quasi-static and dynamic compression tests to determine the Poisson's ratio of silicone foam. The Poisson's ratio of silicone foam exhibited a transition from compressible to nearly incompressible at a threshold strain that coincided with the onset of densification in the material. Poisson's ratio as a function of engineering strain was different at quasi-static and dynamic rates. Here, the Poisson's ratio behavior is presented and can be used to improve constitutive modeling of silicone foams subjected to a broad range of mechanical loading.},
doi = {10.1016/j.ijimpeng.2018.06.001},
journal = {International Journal of Impact Engineering},
number = 2019,
volume = 123,
place = {United States},
year = {Sun Jun 03 00:00:00 EDT 2018},
month = {Sun Jun 03 00:00:00 EDT 2018}
}
Web of Science
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