Bonded Particle Model Calibration Using Design of Experiments and Multi-Objective Optimization
Conference contribution, 2016
The bonded particle model (BPM) is one of the common approaches for modelling rock materials in DEM. In
order to assure good breakage characteristics, the model needs to be calibrated against experimental data.
Yoon (2007) presented an approach based on Design of Experiments (DoE) in two stages and an
optimization method for minimizing the error between the simulation based response surface models and
experimental data. Further work needs to be done in this area in order to achieve a standardized procedure.
Hence, in this study the calibration approach is expanded to 3D DEM and multi-objective optimization
considering rock strength characteristics, breakage behaviour and computational economy. A DoE simulation
plan has been applied in two stages: the first with the purpose of statistical parametrical screening and the
second for design augmentation and response modelling. The Brazilian tensile strength test is used as the
loading condition in both simulations and laboratory experiments. The optimization results suggest that the
proposed framework is a successful approach for DEM calibration and that there is a clear trade-off between
calibration accuracy and computational economy.