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On-line Modal Parameter Monitoring of Bridges Exploiting Multi-core Capacity by Recursive Stochastic Subspace Identification Method

机译:通过递增随机子空间识别方法对多核容量利用多核容量的桥梁在线模态参数监测

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On-line modal parameter monitoring of structures like bridges has compelling practical significance. This paper describes an example of applying recursive stochastic subspace identification methods to the monitoring of bridge modal parameters. The usual recursive stochastic subspace identification algorithm tailored to modal analysis is first presented in details. Then the algorithm is adapted to exploit the power of the multi-core capacity of today's computers so as to improve the speed and effectiveness of the original algorithm. The results of the experiments based on the real data of Donghai Bridge have confirmed the above positive effects of the modified recursive stochastic subspace identification algorithm.
机译:在线模态参数监控结构等桥梁具有令人信服的实际意义。本文介绍了将递归随机子空间识别方法应用于桥梁模态参数的监测的示例。通常介绍了模态分析的常用递归随机子空间识别算法。然后,该算法适用于利用当今计算机的多核容量的功率,以提高原始算法的速度和有效性。基于东海大桥实际数据的实验结果证实了改进的递归随机子空间识别算法的上述正效应。

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