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Identification of continuous granular flow models
Conference proceeding   Open access   Peer reviewed

Identification of continuous granular flow models

2ND INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES 2013 (IC-MSQUARE 2013), v 490(1), 12206
01 Jan 2014
url
https://doi.org/10.1088/1742-6596/490/1/012206View
Published, Version of Record (VoR) Open

Abstract

Mathematics Mathematics, Applied Physical Sciences Physics Physics, Mathematical Physics, Multidisciplinary Science & Technology
Granular materials may exhibit different pattern forming behaviors, depending on the average energy per grain. Various granular flow PDE models exist, each capturing different behaviors of the physical phenomenon. In the present work we investigate the model and parameter identification problem of different continuous granular flow models as an encapsulated optimization problem. The identification problem is then split in a series of inverse problems. For the discrimination of the different models, the Fisher information matrix is used and different optimality criteria are discussed. Basic concepts of algorithmic differentiation (AD), which is used for the computation of the sensitivity matrix, are also given. The PDEs are discretized by the finite element method.

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Web of Science research areas
Mathematics, Applied
Physics, Mathematical
Physics, Multidisciplinary
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