Computationally Efficient Phase-field Simulation Studies Using RVE Sampling and Statistical Analysis
Computationally Efficient Phase-field Simulation Studies Using RVE Sampling and Statistical Analysis
复制标题
DOI：
10.1016/j.commatsci.2018.02.005
复制
发表时间：
2017-12
影响因子：
3.3
通讯作者：
Christian Schwarze;R. D. Kamachali;Markus Kuhbachb;C. Miessen;M. Tegeler;L. Barrales-Mora;I. Steinbach;G. Gottstein
中科院分区：
文献类型：
--
作者：
Christian Schwarze;R. D. Kamachali;Markus Kuhbachb;C. Miessen;M. Tegeler;L. Barrales-Mora;I. Steinbach;G. Gottstein
针对大规模相场模拟，研究了精度和计算成本之间的权衡，作为模拟盒的大小和数量的函数。为此，对参考模拟盒进行了增量分区。我们考虑了模型 Al-Li 系统中从生长阶段到早熟的 δ Prime 扩散控制沉淀。模拟结果表明，模拟盒的分解可以成为一种有价值的计算技术，可以加速模拟，而不会严重损失准确性。在当前的案例研究中，发现沉淀物密度是关键控制参数。对于预设的精度，事实证明，参考域的大规模模拟可以被较小模拟的组合所取代。这缩短了所需的仿真时间并显着提高了仿真的内存使用率，从而大大提高了相场应用大规模并行计算的效率。
The trade-off between accuracy and computational cost as a function of the size and number of simulation boxes was studied for large-scale phase-field simulations. For this purpose, a reference simulation box was incrementally partitioned. We have considered diffusion-controlled precipitation of delta prime in a model Al-Li system from the growth stage until early ripening. The results of the simulations show that decomposition of simulation box can be a valuable computational technique to accelerate simulations without substantial loss of accuracy. In the current case study, the precipitate density was found to be the key controlling parameter. For a pre-set accuracy, it turned out that large-scale simulations of the reference domain can be replaced by a combination of smaller simulations. This shortens the required simulation time and improves the memory usage of the simulation considerably, and thus substantially increases the efficiency of massive parallel computation for phase-field applications.