Calibration and Validation of Granular Continuum Models from Particle Data

Calibration and Validation of Granular Continuum Models from Particle Data: Bridging the Micro-Macro Gap explains how to calibrate and/or validate granular continuum models from experimental or numerical data using micro-macro transition methods that are required to obtain continuum fields (such as density, momentum and stress) from particle data (positions, velocities and 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 on coarse-graining, demonstrating the power of this particular method via various examples.

• 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
• Provides 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 calibrate and validate some of the most common granular flow models