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首页> 外文期刊>Journal of aerospace engineering >Enhanced EMD-RDT Method for Output-Only Ambient Modal Identification of Structures
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Enhanced EMD-RDT Method for Output-Only Ambient Modal Identification of Structures

机译：增强的EMD-RDT方法仅用于结构的环境模态识别

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摘要

An enhanced approach of empirical mode decomposition based random decrement technique (EMD-RDT) is proposed for output-only modal parameter identification of structures using ambient vibration measurements. In the conventional EMD-RDT method, modal parameters are identified for each mode through Hilbert transform or least-square fitting from the free-decay modal responses, which are produced by EMD and RDT sequentially. The identification process is time consuming, and many uncertainties are involved. The novel enhancements of the proposed method lie in two aspects: computation efficiency and uncertainty treatment. On one hand, a novel decomposition method is proposed to separate the mode shape and the modal coordinates from the free-decay modal responses, thus making the identification process more efficient. On the other hand, a bootstrap approach is employed to quantify the uncertainties of modal parameters by providing surrogate estimates to generate useful statistics. Examples using both simulated data from a six degrees-of-freedom (six-DOF) system and experimental data from a three-story shear building structure are presented to demonstrate the proposed method, of which the effectiveness and the efficiency are confirmed by the identified results. (c) 2019 American Society of Civil Engineers.
机译：提出了一种基于经验模态分解的随机减量技术（EMD-RDT）的增强方法，用于使用环境振动测量来识别结构的仅输出模态参数。在常规的EMD-RDT方法中，通过Hilbert变换或最小二乘拟合从EMD和RDT依次产生的自由衰减模态响应中为每个模式识别模态参数。识别过程很耗时，并且涉及许多不确定因素。该方法的新颖之处在于两个方面：计算效率和不确定性处理。一方面，提出了一种从自由衰减模态响应中分离出模态形状和模态坐标的分解方法，从而使识别过程更加有效。另一方面，通过提供替代估计以生成有用的统计数据，采用自举方法来量化模态参数的不确定性。给出了使用来自六自由度（六自由度）系统的模拟数据和来自三层剪力建筑结构的实验数据的示例，以说明所提出的方法，其有效性和效率通过所确定的方法得到了证实。结果。 （c）2019美国土木工程师学会。

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