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Realistic and Efficient 2D Crack Simulation

机译:现实有效的2D裂纹模拟

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摘要

Although numerical algorithms for 2D crack simulation have been studied in Modeling and Simulation (M&S) and computer graphics for decades, realism and computational efficiency are still major challenges. In this paper, we introduce a high-fidelity, scalable, adaptive and efficient/runtime 2D crack/fracture simulation system by applying the mathematically elegant Peano-Cesaro triangular meshing/remeshing technique to model the generation of shards/fragments. The recursive fractal sweep associated with the Peano-Cesaro triangulation provides efficient local multiresolution refinement to any level-of-detail. The generated binary decomposition tree also provides efficient neighbor retrieval mechanism used for mesh element splitting and merging with minimal memory requirements essential for realistic 2D fragment formation. Upon load impact/contact/penetration, a number of factors including impact angle, impact energy, and material properties are all taken into account to produce the criteria of crack initialization, propagation, and termination leading to realistic fractal-like rubble/fragments formation. The aforementioned parameters are used as variables of probabilistic models of cracks/shards formation, making the proposed solution highly adaptive by allowing machine learning mechanisms learn the optimal values for the variables/parameters based on prior benchmark data generated by off-line physics based simulation solutions that produce accurate fractures/shards though at highly nonreal time paste. Crack/fracture simulation has been conducted on various load impacts with different initial locations at various impulse scales. The simulation results demonstrate that the proposed system has the capability to realistically and efficiently simulate 2D crack phenomena (such as window shattering and shards generation) with diverse potentials in military and civil M&S applications such as training and mission planning.
机译:尽管在建模和仿真(M&S)和计算机图形学中已经研究了2D裂纹模拟的数值算法,但数十年来,现实主义和计算效率仍然是主要的挑战。在本文中,我们通过应用数学优雅的PEANO-CESARO三角形/次闭合技术来模拟碎片/碎片的产生来介绍高保真,可扩展,自适应和高效/运行时2D裂缝/裂缝仿真系统。与PEANO-CESARO三角测量相关的递归分形扫描为任何细节水平提供有效的局部多分辨率细化。生成的二进制分解树还提供用于网格元素分割和合并的有效邻居检索机制,并以最小的存储器要求合并,对于现实的2D片段形成。负载冲击/接触/穿透时,全部考虑到包括冲击角,冲击能量和材料特性的许多因素,以产生裂缝初始化,传播和终端的标准,导致现实的分形状瓦砾/片段形成。上述参数用作裂缝/碎片形成的概率模型的变量,使得通过允许机器学习机制基于基于离线物理学的仿真解决方案生成的现有基准数据来学习变量/参数的最佳值,使得提出的解决方案高度自适应在高度非终端时间浆料,产生准确的骨折/碎片。在各种脉冲尺度下具有不同初始位置的各种负载影响,已经进行了裂缝/裂缝模拟。仿真结果表明,所提出的系统具有现实和有效地模拟2D裂缝现象(如窗扇破碎和分片),在军事和民用M&S应用中具有不同的潜力,如培训和使命规划。

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