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UNCONDITIONALLY STABLE EXPLICIT INTEGRATION ALGORITHMS WITH CONTROLLABLE NUMERICAL DAMPING FOR REAL-TIME HYBRID SIMULATION

机译:无条件稳定的显式集成算法,具有用于实时混合模拟的可控数值阻尼

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Integration algorithms are typically utilized in structural dynamics to obtain solutions for temporally discretized equations of motion. Recent development of real-time structural testing brings more challenges to researchers in terms of integration algorithm. An explicit integration algorithm is more favorable in real-time structural testing because of its computational efficiency. However, most existing explicit integration algorithms do not possess numerical damping to suppress any spurious participation of high-frequency modes due to numerical and experimental errors. This paper presents a family of unconditionally stable explicit integration algorithms with numerical damping that can be adjusted based on application. The property of the new explicit integration algorithm is analyzed in terms of stability and accuracy for single-degree-of-freedom (SDOF) systems. The new algorithms are demonstrated to be able to introduce comparable numerical damping with the well established HHT α-method when the integration parameters are selected properly.
机译:集成算法通常用于结构动力学,以获得用于时间离散的运动方程的解决方案。在集成算法方面,实时结构测试的最新发展为研究人员带来了更多挑战。由于其计算效率,明确的集成算法在实时结构测试中更有利于。然而,大多数现有的显式集成算法不具有数值阻尼,以抑制由于数值和实验误差引起的高频模式的任何虚假参与。本文介绍了一个无条件稳定的显式积分算法,具有可以根据应用调整的数值阻尼。在单级自由度(SDOF)系统的稳定性和准确性方面分析了新的显式积分算法的性质。对新算法进行说明,能够在正确选择积分参数时与已建立的HHTα方法引入类似的数值阻尼。

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