基于扩展卡尔曼估计算法的地震模拟振动台模型识别

赵博宇;丁 勇;吴 斌

振动与冲击 ›› 2014, Vol. 33 ›› Issue (12) : 145-150.

PDF(2236 KB)
PDF(2236 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (12) : 145-150.
论文

基于扩展卡尔曼估计算法的地震模拟振动台模型识别

  • 赵博宇,丁 勇,吴 斌
作者信息 +

The identification of shaking table model based on extended Kalman estimator

  • ZHAO Bo-yu, DING Yong, WU Bin
Author information +
文章历史 +

摘要

由于地震模拟振动台的长期使用和多次维护,其实际工作中的模型往往难以建立,而地震模拟振动台模型的修正对于估计实验结构底部剪力有重要作用。为此本文利用扩展卡尔曼估计算法识别了哈尔滨工业大学地震模拟振动台模型。首先,对一单自由度结构进行仿真,通过测量位移测响应,将结构参数准确的识别。随后,对抗震实验室振动台进行了3次空台加载,通过测量振动台台面位移,利用扩展的卡尔曼估计算法,识别地震模拟振动台的模型,更新了其质量,阻尼和刚度。由识别参数重构计算得到的台面加速度与加速度传感器实测台面加速度吻合良好,由此表明振动台模型参数估计准确。通过此次研究既可以有效的认识不同构建形式的振动台模型,同样也可用于确定某些难以测得参数的复杂结构的模型。

Abstract

The model of long-time used shaking table is difficult to establish. An exact shaking table model is significant for calculating the structural base shear. The shaking table model at Harbin Institute of Technology is successfully identified based on extended Kalman estimator in this paper. The proposed method is first validated numerically with the simulation of a single degree of freedom structure subject to earthquake excitation. The model of shaking table at Harbin Institute of Technology was identified experimentally with three shaking table tests. The comparison of the calculated and measured acceleration results validated the proposed method can exactly identify the model of shaking table. This research can effectively identify different kinds of shaking table model. Also, it can be used to determine the structural parameters which are difficult to measure.

关键词

模型更新 / 结构参数识别 / 地震模拟振动台 / 扩展卡尔曼滤波估计

Key words

model updating / structural parameter identification / shaking table test / extended Kalman estimator

引用本文

导出引用
赵博宇;丁 勇;吴 斌. 基于扩展卡尔曼估计算法的地震模拟振动台模型识别[J]. 振动与冲击, 2014, 33(12): 145-150
ZHAO Bo-yu;DING Yong;WU Bin. The identification of shaking table model based on extended Kalman estimator[J]. Journal of Vibration and Shock, 2014, 33(12): 145-150

PDF(2236 KB)

Accesses

Citation

Detail

段落导航
相关文章

/