期刊
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
卷 46, 期 1, 页码 111-128出版社
SPRINGER
DOI: 10.1007/s00158-011-0747-3
关键词
Paper foils; Parameter identification; Artificial neural networks
资金
- Politecnico (Technical University) of Milan
- Tetra Pak Company
In this paper two procedures are developed for the identification of the parameters contained in an orthotropic elastic-plastic-hardening model for free standing foils, particularly of paper and paperboard. The experimental data considered are provided by cruciform tests and digital image correlation. A simplified version of the constitutive model proposed by Xia et al. (Int J Solids Struct 39:4053-4071, 2002) is adopted. The inverse analysis is comparatively performed by the following alternative computational methodologies: (a) mathematical programming by a trust-region algorithm; (b) proper orthogonal decomposition and artificial neural network. The second procedure rests on preparatory once-for-all computations and turns out to be applicable economically and routinely in industrial environments.
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