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CPU-accelerated explicit discontinuous deformation analysis and its application to landslide analysis

机译:CPU加速显式不连续变形分析及其在滑坡分析中的应用

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An explicit discontinuous deformation analysis (DDA) that uses an explicit time integration procedure and an explicit calculation of interaction forces between blocks is proposed to overcome the limitations of conventional implicit DDA in simulating large-scale problems. The advantages of the explicit DDA are that (1) the global equilibrium equations are unnecessary to be assembled and the solving for unknowns of every block can be performed independently and conveniently, thereby reducing the computational effort and memory requirement; (2) the open-close iteration process is avoided because the interaction forces between blocks are calculated explicitly according to the initial information at the start of the current time step. The efficient parallel computing is very appropriate for the explicit ODA. To further improve its computational efficiency, the explicit DDA is paralleled based on OpenMP. The accuracy of the explicit DDA is verified through several numerical examples with analytical solutions, experimental data or field observation. Further, the computational efficiency is demonstrated by a series of models and the parallel speedup factor on 6 OpenMP threads is approximately 4.2. Conclusively, the explicit DDA is promising for analyzing blocky systems in large scale. (C) 2019 Elsevier Inc. All rights reserved.
机译:为了克服传统隐式DDA在模拟大型问题中的局限性,提出了使用显式时间积分程序和显式计算块之间相互作用力的显式不连续变形分析(DDA)。显式DDA的优点是:(1)不需要组装全局平衡方程,并且可以独立且方便地执行每个块的未知数求解,从而减少了计算量和内存需求; (2)避免了开闭迭代过程,因为块之间的相互作用力是根据当前时间步开始时的初始信息显式计算的。有效的并行计算非常适合显式ODA。为了进一步提高其计算效率,显式DDA基于OpenMP进行了并行处理。通过几个具有解析解,实验数据或现场观察的数值示例,验证了显式DDA的准确性。此外,通过一系列模型证明了计算效率,并且在6个OpenMP线程上的并行加速因子约为4.2。总之,显式DDA有望用于大规模分析块状系统。 (C)2019 Elsevier Inc.保留所有权利。

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