Sébastien H. E. Volcy, Luc Sibille, Bruno Chareyre, Christophe Dano, Hamid Hosseini-Sadrabadi
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引用次数: 0
Abstract
An adaptive discretization method is introduced to develop numerical models for boundary value problems using the Discrete Element Method. This method involves discretizing a domain, with smaller particles in regions of interest—where the material undergoes large displacements and irreversible deformations—while continuously increasing particle sizes elsewhere, as distance from these regions of interest increases. While maintaining uniform mechanical properties within the whole simulation domain through appropriate scaling of contact model parameters, this approach presents the main benefit to substantially reduce the number of particles in the model, thereby lowering computational costs, without making the numerical method itself more cumbersome. This method is applied and assessed in the context of modeling a Cone Penetration Test within a calibration chamber.
期刊介绍:
Although many phenomena observed in granular materials are still not yet fully understood, important contributions have been made to further our understanding using modern tools from statistical mechanics, micro-mechanics, and computational science.
These modern tools apply to disordered systems, phase transitions, instabilities or intermittent behavior and the performance of discrete particle simulations.
>> Until now, however, many of these results were only to be found scattered throughout the literature. Physicists are often unaware of the theories and results published by engineers or other fields - and vice versa.
The journal Granular Matter thus serves as an interdisciplinary platform of communication among researchers of various disciplines who are involved in the basic research on granular media. It helps to establish a common language and gather articles under one single roof that up to now have been spread over many journals in a variety of fields. Notwithstanding, highly applied or technical work is beyond the scope of this journal.