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周蕊, 李理, 田保林. 爆轰驱动多介质问题的Lagrange多分区自适应数值模拟研究. 力学学报, 2023, 55(11): 2675-2692. DOI: 10.6052/0459-1879-23-256
引用本文: 周蕊, 李理, 田保林. 爆轰驱动多介质问题的Lagrange多分区自适应数值模拟研究. 力学学报, 2023, 55(11): 2675-2692. DOI: 10.6052/0459-1879-23-256
Zhou Rui, Li Li, Tian Baolin. Multi-block Lagrangian adaptive mesh refinement numerical simulation on the multi-material problem under high-explosive detonation driving. Chinese Journal of Theoretical and Applied Mechanics, 2023, 55(11): 2675-2692. DOI: 10.6052/0459-1879-23-256
Citation: Zhou Rui, Li Li, Tian Baolin. Multi-block Lagrangian adaptive mesh refinement numerical simulation on the multi-material problem under high-explosive detonation driving. Chinese Journal of Theoretical and Applied Mechanics, 2023, 55(11): 2675-2692. DOI: 10.6052/0459-1879-23-256

爆轰驱动多介质问题的Lagrange多分区自适应数值模拟研究

MULTI-BLOCK LAGRANGIAN ADAPTIVE MESH REFINEMENT NUMERICAL SIMULATION ON THE MULTI-MATERIAL PROBLEM UNDER HIGH-EXPLOSIVE DETONATION DRIVING

  • 摘要: 凝聚炸药爆轰驱动惰性金属材料形成的多介质流动问题广泛存在于工程应用领域, Lagrange方法由于其物质界面的高保真特性一直在相关问题的数值模拟中发挥着不可替代的作用. 加密网格是提高爆轰驱动多介质问题模拟精度的常用途径之一. 然而, Lagrange框架下整体密网格计算常会遇到网格畸变、计算效率低等问题. 为此, 针对爆轰驱动多介质流动问题, 提出了一种Lagrange框架下的非结构网格多层自适应方法, 在保证所关心区域局部网格分辨率的前提下, 大幅缩减了整体计算规模, 提升了Lagrange计算的健壮性. 设计了非结构网格多层数据结构, 提出了多层网格分层存储、有效网格压至一层进行Lagrange计算的AMR策略, 同时还发展了自适应接触滑移耦合算法, 实现了AMR计算与多分区接触滑移计算的“紧耦合”. 相比于已有工作, 所提出的AMR方法既保持了非结构网格多层数据结构的灵活性优势, 又避免了Lagrange框架下多层网格分别计算带来的层间耦合困难, 同时因实现了与接触滑移的自适应耦合, 使得它能很好地适应多分区的多介质问题. 在一维、二维爆轰算例验证所提出方法正确性的前提下, 开展了拐角爆轰、多层炸药隔爆和有限尺寸弯道爆轰等复杂爆轰弹塑性多介质问题的数值模拟研究. 计算结果显示, 采用Lagrange非结构多层AMR数值模拟方法, 可以有效捕捉凝聚炸药爆轰与惰性金属材料相互作用过程中的波系结构, 可节省90%以上的网格规模. 该方法对复杂几何边界、复杂波系结构和多分区相互作用等问题具有良好的适应性, 为后续开展凝聚炸药爆轰约束问题的机理研究奠定了坚实的基础.

     

    Abstract: The multi-material problems under high-explosive detonation driving exist extensively in the engineering applications. Lagrangian method has been applied widely in the numerical simulation of these problems, because it can simulate the material interface with high fidelity. Refining mesh is one of the common ways to improve the simulated accuracy. However when the resolution is improved through the global mesh refinement, the robust and the efficiency of Lagrangian calculation become worse. It is very necessary to develop an unstructured multi-level adaptive mesh refinement (AMR) method based on the Lagrangian hydrocode for the multi-material and multi-block problems. In present study, a new AMR strategy is proposed, where an unstructured hierarchical data structure is designed. The multi-level meshes are stored in the unstructured hierarchical data structure, and then they are flattened onto the finest global unstructured mesh for the Lagrangian calculation. To adapt the multi-material and multi-block problems, an adaptive coupling algorithm with sliding interface is developed. This implementation preserves the benefits of an unstructured hierarchical data structure. It also avoids the complexity of time adaption and interlevel coupling using boundary conditions in moved Lagrangian mesh, when the solutions are obtained on every level of a refinement hierarchy. At the same time, this new AMR method can be well adapted to multi-block and multi-material problems. The correctness of the unstructured Lagrangian AMR method is verified by the 1D and 2D detonation problems. A series of multi-material problems under high-explosive detonation driving, including multi-material corner detonation, multi-block multi-material problem and detonation propagation in the small curved channel and so on, are simulated using the proposed unstructured AMR. The numerical results show excellent compatibility and performance for the different complex multi-material problems, and it can save more than 90% of the mesh number. The research is an important foundation for further research on the physics mechanism of detonation constraint problem.

     

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