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Three-dimensional mesoscale modeling of concrete with convex aggregate based on motion simulation

机译:基于运动仿真的凸骨料混凝土三维Messcale建模

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Numerical simulation using a mesoscale model is an effective method to determine the complex mechanical behaviors of concrete. Establishing a numerical sample with a mesostructure close to realistic concrete is crucial for mesoscale simulation. This paper presents a heuristic packing algorithm for constructing 3D random aggregate models with high aggregate content. In the algorithm, the aggregate packing problem is considered as a problem of optimizing the potential energy of the mesoscale configuration. In the initial state, all aggregate particles are randomly placed inside the specimen container; then, the particles move in the container according to the proposed motion simulation strategy until a feasible spatial configuration is obtained. The framework is suitable for various types of aggregates, including spherical, ellipsoidal, polyhedral, and mixed-type aggregates, that have a support mapping representation. In this study, numerous samples with different types of aggregates were established, and the influence of the aggregate gradation on the packing density was examined. The results verified the efficiency and robustness of the proposed algorithm. (C) 2021 Elsevier Ltd. All rights reserved.
机译:使用Messcale模型的数值模拟是确定混凝土复杂机械行为的有效方法。用近距离逼真的混凝土建立数值样品对于Messcore仿真来说至关重要。本文介绍了一种启发式包装算法,用于构建具有高集合内容的3D随机聚合模型。在算法中,聚合包装问题被认为是优化Mescleale配置的势能的问题。在初始状态下,将所有骨料颗粒随机放置在样品容器内;然后,根据所提出的运动模拟策略在容器中移动在容器中,直到获得可行的空间配置。该框架适用于各种类型的聚集体,包括球形,椭圆形,多面体和混合型聚集体,其具有支持映射表示。在这项研究中,建立了许多具有不同类型聚集体的样品,检查了聚集体梯度对包装密度的影响。结果验证了所提出的算法的效率和鲁棒性。 (c)2021 elestvier有限公司保留所有权利。

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