Review of calibration strategies for discrete element model in quasi-static elastic deformation

Abstract

This study first reviewed theories of the mechanical response of structures under loading, and the discrete element method provides a route for studying mechanical response including elastic deformation and structure failure. However, the direct acquisition of the microscopic parameters from the governing equations of the discrete element method via experiments encounters challenges. One possible strategy to obtain these microscopic parameters is parameter calibration that are widely used by researchers. Secondly, the governing equations and failure criterion of the discrete element method are summarized, and the microscopic parameters that would be calibrated are pinpointed. Next, the principles of classical calibration methods of discrete element method are explicated in detail, alongside the validation and discussion of their properties. Lastly, this study examined the applicability of calibrated parameters and points out that the size ratio, porosity, maximum radius, and minimum radius of particles should be identical in both the geometric calibration model and that for applications.

Calibration and Verification of Discrete Element Parameters of Surface Soil in Camellia Oleifera Forest

“…The model accurately represents the viscoelastic characteristics between the particles through normal elastic force, which is determined using the amount of normal overlap and surface energy. The calculation method for normal elastic force is provided in Formulas ( 4) and (5).…”

“…The discrete element is a numerical simulation method that can treat the entire medium as a collection of several particle units. It is widely used in the fluidity of scattered materials, solid crushing, and machine-soil interactions [4,5]. Due to the complex soil characteristics, the finite element soil model is not very accurate, and can only simulate soil damage behavior, but cannot simulate the soil movement process.…”

Assessment of Contact Laws Accounting for Softening in 3D Rigid Concrete Particle Models

“…In the literature, there are several automatic contact calibration approaches based on the design of experiment method (DOE), machine learning methods (ML), or evolutionary approaches (GA) [42][43][44] that do not rely on the user experience. In this work, a simple trialand-error procedure that relies on the user experience with particle modelling was followed.…”