Deterministic vs. robust design optimization using DEM-based metamodels

In design optimization of bulk handling equipment (BHE) we generally focus on the mean performance of the equipment. However, granular materials behave stochastic due to irregularities in particle shape and size which leads to stochastic performance of the equipment. To include the stochastic performance we propose robust metamodel-based...

Application of DEM-based metamodels in bulk handling equipment design: Methodology and DEM case study

Developments in discrete element modelling (DEM) enable detailed modelling of granular flows in bulk handling equipment (BHE) but due to the computational expense of DEM, wide use in analysing equipment performance is not yet feasible. Metamodels are a viable option to effectively use DEM in analysing BHE performance. Metamodels are able to...

Including stochastics in metamodel-based DEM model calibration

In calibration of model parameters for discrete element method (DEM) based models the focus lies on matching the mean key performance indicator (KPI) values from laboratory experiments to those from simulation results. However, due to the stochastic nature of granular processes experimental results can show large variances. To include...

Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach

Background: Risk-based breast cancer (BC) screening raises new questions regarding information provision and risk communication. This study aimed to: 1) investigate women’s beliefs and knowledge (i.e., mental models) regarding BC risk and (risk-based) BC screening in view of implications for information development; 2) develop novel...