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Data‐driven nonlocal model for fragmentation in the crushing of solids
International Journal for Numerical and Analytical Methods in Geomechanics ( IF 3.4 ) Pub Date : 2024-05-20 , DOI: 10.1002/nag.3763
Stewart A. Silling 1
Affiliation  

A technique is proposed for reproducing particle size distributions in three‐dimensional simulations of the crushing and comminution of solid materials. The method is designed to produce realistic distributions over a wide range of loading conditions, especially for small fragments. In contrast to most existing methods, the new model does not explicitly treat the small‐scale process of fracture. Instead, it uses measured fragment distributions from laboratory tests as the basic material property that is incorporated into the algorithm, providing a data‐driven approach. The algorithm is implemented within a nonlocal peridynamic solver, which simulates the underlying continuum mechanics and contact interactions between fragments after they are formed. The technique is illustrated in reproducing fragmentation data from drop weight testing on sandstone samples.

中文翻译:


数据驱动的固体破碎中的碎片非局部模型



提出了一种在固体材料破碎和粉碎的三维模拟中再现粒度分布的技术。该方法旨在在各种负载条件下产生真实的分布,特别是对于小碎片。与大多数现有方法相比,新模型没有明确处理小规模断裂过程。相反,它使用实验室测试中测量的碎片分布作为纳入算法的基本材料属性,提供数据驱动的方法。该算法在非局部近场动力学求解器中实现,该求解器模拟底层连续介质力学以及碎片形成后之间的接触相互作用。该技术通过再现砂岩样品落重测试的碎裂数据进行了说明。
更新日期:2024-05-20
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