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。
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.
作者
董晓辉
唐贞云
李振宝
杜修力
DONG Xiao-hui;TANG Zhen-yun;LI Zhen-bao;DU Xiu-li(The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education,Beijing University of Technology,Beijing 100124,China;Hebei Key Laboratory of Earthquake Disaster Prevention and Risk Assessment,Sanhe 065201,China)
出处
《振动工程学报》
EI
CSCD
北大核心
2023年第2期517-525,共9页
Journal of Vibration Engineering
基金
国家自然科学基金面上项目(51978016)
河北省地震灾害防御与风险评价重点实验室开放基金资助项目(FZ213104)。
关键词
实时混合试验
图形处理器
PYTHON
数值积分算法
求解效率
real-time hybrid simulation
graphics processing unit
Python
numerical integration algorithm
calculation efficiency
