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Applications of the RST Algorithm to Nonlinear Systems in Real-Time Hybrid Simulation

机译:RST算法在非线性系统中在实时混合仿真中的应用

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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.
机译:实时子结构测试(RST)算法是一种新开发的实时混合仿真(RTHS)集成方法,具有位移和速度的结构相关和显式公式。RST算法最有利的特征是线性无条件稳定,不需要迭代。为了充分评价RST方法在求解非线性系统动力学问题方面的性能,讨论了RST方法的稳定性、数值色散、能量耗散和过冲特性。稳定性分析表明,RST方法在应用于非线性系统时才具有条件稳定性。当瞬时非线性度增大时,刚度软化体系的稳定性上限增大,而刚度硬化体系的稳定性上限减小。同时,系统的初始阻尼比对稳定上限有负向影响,特别是对于瞬时刚度软化系统,阻尼比值越大,RST法的稳定性上限越大。精度分析表明,与其他两种成熟的算法相比,RST方法对非线性系统的周期误差和数值阻尼比相对较小。通过3个简化工程算例研究了RST方法的动力学性能,数值结果表明,该方法在求解线性和非线性系统的动力学问题时,具有比其他方法更理想的精度。

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