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Stability analysis of substructure shake table testing using two families of model-based integration algorithms

机译:使用两个基于模型的集成算法系列对子结构振动台测试的稳定性分析

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In implementing a substructure shake table testing (SSTT), the complete structure is divided into the experimental and the analytical substructures, which are driven by shake table and numerically simulated in a computer, respectively. A number of unconditionally stable and explicit integration algorithms referred to as model-based algorithms with highly computational efficiency have been developed to meet the requirement of real-time in conducting SSTT. This study aims to comprehensively investigate the stability of the SSTT system using two recently proposed model-based integration algorithms with controllable numerical energy dissipation, i.e., Kolay-Ricles-alpha (KR-alpha) algorithms and modified KR-alpha (MKR-alpha) algorithms. The SSTT system for the 2-degree-of-freedom (2-DOF) structures are firstly formulated. In order to take the contribution of the experimental substructure into consideration, the dynamic condensation is adopted to calculate the integration parameters for the analytical substructure. The discrete transfer function of the 2-DOF-SSTT system are derived. The influences of the mass ratio, the frequency ratio and the time step on the stability of the SSTT system are comprehensively investigated by using the discrete control theory. The results show that for larger values of the mass ratio, the frequency ratio and the time step have negative impact on the stability of the SSTT system. In addition, a subfamily of the MKR-alpha algorithms along with the dynamic condensation can always ensure the SSTT system stable.
机译:在执行子结构振动台测试(SSTT)时,将整个结构分为实验和分析子结构,分别由振动表驱动和在计算机中进行数值模拟。为了满足进行SSTT实时性的要求,已经开发了许多无条件稳定和显式的集成算法,称为具有高计算效率的基于模型的算法。这项研究旨在使用两种最近提出的具有可控制的数值能量耗散的基于模型的集成算法,即Kolay-Ricles-alpha(KR-alpha)算法和改进的KR-alpha(MKR-alpha),来全面研究SSTT系统的稳定性。算法。首先制定了用于2自由度(2-DOF)结构的SSTT系统。为了考虑实验子结构的贡献,采用动态缩合计算分析子结构的积分参数。推导了2-DOF-SSTT系统的离散传递函数。利用离散控制理论,综合研究了质量比,频率比和时间步长对SSTT系统稳定性的影响。结果表明,对于较大的质量比值,频率比和时间步长会对SSTT系统的稳定性产生负面影响。此外,MKR-alpha算法的一个子族以及动态缩合可以始终确保SSTT系统的稳定性。

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