基于总体经验模态分解的桥梁动态位移重构
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TH825; TP277; U446.2

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四川省科技资助项目(2018GZ0008)


Bridge Dynamic Displacement Refactoring Based on Ensemble Empirical Mode Decomposition
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    摘要:

    针对微机电系统(micro?electro?mechanical?systems,简称MEMS)加速度传感器输出信号通过传统二次积分变换为位移信号时精度较低的问题,根据桥梁振动信号的特点,提出了一种基于总体经验模态分解和时域积分相结合的桥梁动态位移重构方法。通过桥梁模拟信号的仿真和振动测试台的验证,分析比较了4种桥梁动态位移重构方法。提出的方法可有效消除低频积分漂移和高频环境噪声对积分过程造成的影响,具有更好的自适应性和鲁棒性。通过在公路高架桥梁进行现场试验,验证了方法的有效性。

    Abstract:

    Aiming at the shortcoming of less precision in transforming measured micro-electro-mechanical-systems(MEMS) accelerometer output signal to elevation signal through the traditional quadratic integration, according to the characteristics of vibration signals of the bridge, a bridge dynamic displacement reconstruction method is proposed based on the combination of ensemble empirical mode decomposition and time domain integration. Through the simulation of the bridge analog signal and the verification of the vibration test bench, the four dynamic displacement refactoring methods of the bridge are analyzed and compared. The proposed method can effectively eliminate the influence of low frequency integral drift and high frequency ambient noise on the integration process. Furthermore, this algorithm has better adaptability and robustness. The effectiveness of the method is verified by field experiments on highway elevated bridges.

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  • 在线发布日期: 2021-06-25
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