基于加速度响应监测的桥址地震动辨识研究

陈太聪,洪辉煌

振动与冲击 ›› 2021, Vol. 40 ›› Issue (7) : 89-94.

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振动与冲击 ›› 2021, Vol. 40 ›› Issue (7) : 89-94.
论文

基于加速度响应监测的桥址地震动辨识研究

  • 陈太聪,洪辉煌
作者信息 +

Ground motion identification of bridge site based on acceleration response monitoring

  • CHEN Taicong, HONG Huihuang
Author information +
文章历史 +

摘要

在桥梁结构的健康监测实践中,利用结构动态响应进行桥址地震动辨识,对于结构安全评估具有重要意义。根据桥址场地特征,确定非平稳地震动模型和相关方差函数。建立地震动辨识问题的数学模型,基于极大似然估计原理推导得到实际地震动时程的递进识别算法,其中加速度响应的灵敏度对应离散化的脉冲响应函数。以某三跨刚构桥受横向地震为数值算例,从传感器数量与观测噪声影响两方面,考察方法辨识效果。结果表明,辨识方法对传感器数量要求不高,抗噪性能好。开展结构模型振动台试验,进一步检验了方法效果。

Abstract

In health monitoring practice of bridge structures, using structural dynamic responses to identify bridge-site’s ground motion is very important for structural safety evaluation. Here, firstly, according to characteristics of bridge site, a non-stationary random process model was chosen to describe ground motion, and the corresponding variance function was derived. Then, a mathematical model was established for the ground motion identification problem. Based on the principle of maximum likelihood estimation, a progressive identification algorithm of real ground motion time history was deduced, in which the sensitivity of acceleration response corresponded to the discretized impulse response function. Taking a 3-span rigid frame bridge subjected to lateral earthquake as a numerical example, the identification effect of the proposed method was examined from two aspects of number of sensors and influence of observation noise. The results showed that the proposed identification method does not require a large number of sensors and has good anti-noise performance. Finally, shaking table tests of structural model was conducted to further verify the effectiveness of the proposed method.

关键词

健康监测 / 地震动辨识 / 加速度响应 / 极大似然估计

Key words

health monitoring / ground motion identification / acceleration response / maximum likelihood estimation

引用本文

导出引用
陈太聪,洪辉煌. 基于加速度响应监测的桥址地震动辨识研究[J]. 振动与冲击, 2021, 40(7): 89-94
CHEN Taicong, HONG Huihuang. Ground motion identification of bridge site based on acceleration response monitoring[J]. Journal of Vibration and Shock, 2021, 40(7): 89-94

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