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Calibration and Validation of Granular Continuum Models from Particle Data : Bridging the Micro-macro
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To calibrate and/or validate granular continuum models from experimental or numerical data, micro-macro transition methods are required to obtain continuum fields (such as density, momentum, stress) from particle data (positions, velocities, forces). This is especially challenging for non-uniform and dynamic situations. This book reviews recent advances in this field and describes how to obtain continuum fields from particle level data. After reviewing several methods it focuses of one method, coarse-graining, and demonstrates the power of this method via various examples of granular continuum models, e.g. for shallow and segregating flows.
- Presents the coarse-graining method to overcome accurate result challenges by applying a local smoothing kernel with a well-defined smoothing length that automatically generates fields satisfying the continuum equations
- Presents a very flexible solution that can be extended to complex situations, such as two-phase flows and situations with complex external boundaries
- Shows readers how to apply such methods to calibrate and validate some of the most common granular flow models