A semi-explicit integration algorithm with controllable numerical damping for real-time hybrid simulation

被引:0
|
作者
Lai, Zhenfeng [1 ,3 ]
Liu, Yanhui [1 ,2 ]
Tan, Ping [1 ,2 ]
Peng, Jinqiang [1 ,3 ]
Zhou, Fulin [1 ,2 ]
机构
[1] Guangzhou Univ, Earthquake Engn Res & Test Ctr EERTC, Guangzhou 510006, Peoples R China
[2] Minist Educ, Key Lab Earthquake Resistance Earthquake Mitigat &, Guangzhou 510006, Peoples R China
[3] Guangdong Prov Key Lab Earthquake Engn & Appl Tech, Guangzhou 510006, Peoples R China
基金
中国国家自然科学基金;
关键词
Semi-explicit; Integration algorithms; Real-time hybrid simulation; Numerical damping; Spectral radius; Stability and accuracy; STRUCTURAL DYNAMICS; DISSIPATION; STABILITY; FAMILY;
D O I
10.1016/j.istruc.2025.108606
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Real-time hybrid simulation (RTHS) is a cost-effective experimental method for evaluating the dynamic behavior of structures. In the numerical computation component of RTHS, the use of efficient, accurate, and stable integration algorithms is critical for its effective execution. This study presents a single-step semi-explicit integration algorithm SSE-alpha, designed to enhance the precision and robustness of numerical computations in RTHS. The numerical properties of the proposed algorithm, including stability, accuracy, and overshoot behavior, are evaluated. The results show that the SSE-alpha algorithm offers flexible and controllable numerical damping, offering unconditional stability for both linear and softened nonlinear systems. This algorithm features second-order accuracy and can effectively reduce or eliminate overshoot through parameter adjustment. The comparative analysis with the G-alpha, WBZ-alpha, and MKR-alpha algorithms demonstrates that the proposed algorithm exhibits superior stability, precision, computational efficiency, and numerical damping characteristics. Finally, the effectiveness and stability of the SSE-alpha algorithm are confirmed through its application to different structural systems in RTHS. This algorithm ensures improved real-time computational accuracy and stability for the assessment of structural systems, including critical infrastructure under seismic loading, contributing to advancements in structural dynamics.
引用
收藏
页数:18
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