基于牛顿迭代算法的离线迭代混合试验研究
Research on Offline Iterative Hybrid Testing Based on Newton Iterative Algorithm
陈旺 1吴斌 2叶慧聪 1王贞2
作者信息
- 1. 武汉理工大学土木工程与建筑学院,武汉 430070
- 2. 武汉理工大学土木工程与建筑学院,武汉 430070;武汉理工大学三亚科教创新园,三亚 572000
- 折叠
摘要
离线迭代混合试验无需数值计算和试验加载在线交互,从而回避了时滞补偿问题,但在很多非线性情况下收敛困难,据此提出基于牛顿迭代算法的离线迭代实时混合试验方法,以提高试验的稳定性和迭代效率.数值仿真试验表明,不同工况下牛顿迭代混合试验收敛过程呈整体式收敛,且迭代收敛次数远低于不动点迭代方法;迭代混合试验收敛速度与结构固有频率有关,结构固有频率越小,收敛速度越快.
Abstract
In an offline iterative hybrid testing,the numerical calculation and test loading are performed independently in different time periods,thus avoiding the delay compensation problem.But it is difficult to converge in many nonlinear cases.Therefore,an offline iterative real-time hybrid testing method based on Newton iterative algorithm was proposed to improve the stability and iteration efficiency of the test.The numerical simulation results show that the convergence process of Newton iterative hybrid testing is much more efficient than fixed-point iteration under different working condi-tions.The convergence rate of the iterative hybrid testing is related to the inherent frequency of the structure,and the smaller the inherent frequency of the structure,the faster the convergence rate.
关键词
离线迭代混合试验/牛顿迭代算法/粘滞阻尼器/收敛性问题Key words
offline iterative hybrid testing/Newton iteration/nonlinear viscous damping/convergence引用本文复制引用
出版年
2024
NETL
NSTL
万方数据