个人信息Personal Information
讲师
硕士生导师
主要任职:Lecturer
其他任职:水工研究所副所长;水利水电教工党支部副书记
性别:女
毕业院校:同济大学
学位:博士
所在单位:水利工程系
学科:水工结构工程
办公地点:辽宁省大连市高新园区凌工路2号大连理工大学综合实验3号楼215室
联系方式:ytang@dlut.edu.cn
电子邮箱:ytang@dlut.edu.cn
Applications of the RST Algorithm to Nonlinear Systems in Real-Time Hybrid Simulation
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论文类型:期刊论文
发表时间:2020-08-11
发表刊物:MATHEMATICAL PROBLEMS IN ENGINEERING
收录刊物:SCIE
卷号:2020
ISSN号:1024-123X
摘要:Real-time substructure testing (RST) algorithm is a newly developed integration method for real-time hybrid simulation (RTHS) which has structure-dependent and explicit formulations for both displacement and velocity. The most favourable characteristics of the RST algorithm is unconditionally stable for linear and no iterations are needed. In order to fully evaluate the performance of the RST method in solving dynamic problems for nonlinear systems, stability, numerical dispersion, energy dissipation, and overshooting properties are discussed. Stability analysis shows that the RST method is only conditionally stable when applied to nonlinear systems. The upper stability limit increases for stiffness-softening systems with an increasing value of the instantaneous degree of nonlinearity while decreases for stiffness-hardening systems when the instantaneous degree of nonlinearity becomes larger. Meanwhile, the initial damping ratio of the system has a negative impact on the upper stability limit especially for instantaneous stiffness softening systems, and a larger value of the damping ratio will significantly decrease the upper stability limit of the RST method. It is shown in the accuracy analysis that the RST method has relatively smaller period errors and numerical damping ratios for nonlinear systems when compared with other two well-developed algorithms. Three simplified engineering cases are presented to investigate the dynamic performance of the RST method, and the numerical results indicate that this method has a more desirable accuracy than other methods in solving dynamic problems for both linear and nonliner systems.