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PUBLICATIONS

Validating Predictive Models with Outdoor Data

Published

Author(s)

Christopher C. White, Donald L. Hunston, Li Piin Sung, Hsiang C. Hsueh, Adam L. Pintar, Deborah S. Jacobs

Abstract

The NIST service life prediction program has demonstrated success in producing validated predictions for the property change resulting from outdoor exposure for a range of polymer systems including Epoxy, Polyethylene, Polyester, Polyethylene terephthalate, and Polyurethane elastomers. These predictions, based on ASTM 1850, have included uncertainty calculations. In each of these systems, a predictive model grounded in laboratory exposure data is validated with outdoor exposure data. Two complications in the widespread adoption of these methods is that requirement that the formulations are designed to degrade prematurely commercially viable systems to produce these predictions in a reasonable amount of time and the limited availability of the exposure equipment. Both considerations can be addressed with the development of commercially viable exposure equipment. The efforts to incorporate this new equipment into the ASTM 1850 protocols will be detailed.
Citation
Natural and Artifical Ageing of Polymers
Volume
9
Publisher Info
GUS, Pfinztal, -1
Pub Type
Book Chapters

Keywords

Predictive model, service life prediction, polymer, sealant
Polymers, Modeling and computational material science and Building materials

Citation

White, C. , Hunston, D. , Sung, L. , Hsueh, H. , Pintar, A. and Jacobs, D. (2019), Validating Predictive Models with Outdoor Data, Natural and Artifical Ageing of Polymers, GUS, Pfinztal, -1 (Accessed October 27, 2025)

Issues

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Created October 16, 2019, Updated August 25, 2020
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