应用 Python-GPU 求解的实时混合试验方法研究

Research on real-time hybrid simulation by Python-GPU computing

摘要: 提出了基于 Python 和图形处理器（GPU）数值求解的实时混合试验系统。将土‐结相互作用系统作为试验模型，使用 Python‐GPU 代替 CPU 数值求解，对提出的实时混合试验系统进行了仿真与试验验证。研究结果表明，使用 Python‐GPU 对无条件稳定算法求解，积分步长 20 ms 时 GPU 实时求解模型自由度超过 24000，是同一台计算机CPU 求解规模的 7 倍左右，提升了实时混合试验的试验能力。

Abstract: This article establishes an RTHS framework based on Python and graphics processor unit （GPU） computation. Using a soil-structure interaction system as a testing model， the performance of the testing framework is verified by numerical simulation and experiment. The results show that using Python-GPU to speed the unconditionally stable algorithm allows a numerical sub‐structure with 24000 DOFs to be solved in a time step of 20 ms. Because the scale of GPU calculation is almost 7 times greater than that of CPU calculation in the same machine， the capability of RTHS is greatly extended.