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Constrained optimization framework for interface-aware sub-scale dynamics discrete closure model for multimaterial cells in Lagrangian cell-centered hydrodynamics

机译:拉格朗日居中流体动力学中多国单元的接口感知子级动力学离散闭合模型的约束优化框架

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We present the new discrete optimization-based interface-aware sub-scale dynamics (IA-SSD) closure model for multimaterial cells for Lagrangian cell-centered hydrodynamics. For the multimaterial cell, the kinematic and thermodynamic properties (e.g., velocity, density, pressure and internal energy) will typically vary between the materials. The discrete closure model is responsible for an accurate update of the thermodynamic states of the individual material components in the multimaterial cell, and for determining the nodal forces that move the vertices of the cell. The IA-SSD closure model consists of two stages - a bulk stage followed by a sub-scale stage. During the bulk stage, the total change in the volume of the cell, total force applied to the cell, and total work done on the cell are distributed between the materials to update their volume, velocity and total energy. This distribution is performed using volume fractions of the materials. During the second stage, sub-scale interactions of the materials inside the multimaterial cell are taken into account. At this stage, information about the topology of the materials inside the multimaterial cell is used, allowing the orientations of internal interfaces to be included in the model. Each material interacts in a pair-wise fashion with the materials with which it has a common boundary. The interactions are based on the solution of the acoustic Riemann problem between each pair of materials and are limited using physically justified constraints: positivity of volume, positivity of internal energy, and controlled rate of pressure relaxation. To determine the values of the limiter coefficients, a constrained-optimization framework is employed using a quadratic objective function with linear constraints. It is a first-of-its kind application of constrained optimization to develop discrete closure models in a more rigorous fashion. The pair-wise interaction between materials is essentially one dimensional in the direction that is normal to interface. For this reason, we demonstrate in this paper the performance of our new model on one dimensional numerical examples. (C) 2018 Elsevier Ltd. All rights reserved.
机译:我们介绍了用于拉格朗日以细胞形式的流体动力学的多国电池的新型离散优化的界面感知子级动力学(IA-SSD)闭合模型。对于多国电池,运动学和热力学性质(例如,速度,密度,压力和内部能量)通常在材料之间变化。离散闭合模型负责准确更新多国内电池中各个材料部件的热力学状态,并确定移动电池顶点的节点力。 IA-SSD闭合模型由两个阶段组成 - 散装阶段,然后是亚级阶段。在堆积期间,细胞体积的总变化,施加到细胞的总力,以及在细胞上完成的总工作分布在材料之间以更新其体积,速度和总能量。使用材料的体积分数进行该分布。在第二阶段,考虑多国内电池内部材料的亚级相互作用。在此阶段,使用关于多国电池内部材料拓扑的信息,允许在模型中包括内部接口的方向。每个材料以配对方式相互作用,其中具有共同边界的材料。相互作用基于每对材料之间的声学​​Riemann问题的解决方案,并且使用物理上合理的约束有限:体积的积极性,内部能量的积极性,压力松弛的受控速率。为了确定限制器系数的值,使用具有线性约束的二次目标函数来采用约束优化框架。它是一种熟悉的优化应用,以更严格的方式开发离散的闭合模型。材料之间的一对相互作用在正常到界面的方向上基本上是一维。因此,我们在本文中展示了我们在一维数值示例上的新模型的性能。 (c)2018年elestvier有限公司保留所有权利。

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