Study of Smartphone Based Bridge Structural Dynamic Parameter Identification and Uncertainty Assessment Method
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摘要: 针对桥梁结构的安全运维，结构动力参数的识别是评估结构健康状况的关键步骤。然而，传统的结构动力参数识别技术依赖于昂贵且操作复杂的传感器设备和数据采集系统，且需要由专业团队和经验丰富的技术人员进行操作与分析，这些技术壁垒限制了桥梁结构健康监测与维护技术的普及。针对上述技术难题，本研究提出了一种基于智能手机的桥梁结构动力参数识别及不确定性评估方法，并在一座人行天桥上进行了应用验证试验和对比测试。结果证明，本研究提出的方法在识别精度和稳定性方面表现优异，为实际工程应用提供了坚实的理论支撑。Abstract: The identification of structural dynamic parameters is crucial for ensuring the safe maintenance of bridge structures. However, traditional techniques for parameter identification rely on expensive and complex sensor equipment and data acquisition systems, which require sspecialized teams and experienced technicians for operation and analysis. These technological barriers hinder the widespread adoption of bridge structure health monitoring and maintenance techniques. To address these challenges, this study proposes a method for identifying bridge structural dynamic parameters and evaluating uncertainty using smartphones. The proposed method was experimentally validated and compared to a pedestrian overpass, demonstrating exceptional performance in terms of accuracy and stability. These results provide robust theoretical support for practical engineering applications.
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图 5 991B型拾振器监测信号的IMF分量
Figure 5. IMF component of the 991B vibration pickup monitoring signal
图 7 991B型拾振器监测信号的Hilbert谱
Figure 7. Hilbert spectrum of the 991B vibration pickup monitoring signals
图 9 991B型拾振器和智能手机监测信号在不同方法下的频率聚类结果
Figure 9. Frequency clustering results of 991B vibration pickup and smartphone monitoring signals under different methods
图 10 991B型拾振器和智能手机监测信号的频谱图
Figure 10. Frequency spectrum of 991B vibration pickup and the smartphone monitoring signal
表 1 智能手机主要技术指标
Table 1. Main technical indicators of smartphones
序号 项目 技术参数 ① 处理器 高通骁龙8gen3，台积电4 nm制程，最高主频为3.3 GHz ② 内存 LPDDR5X内存，最高传输速率 8533 Mbps③ 惯性传感器 品牌：瑞声科技AMA600；
全温零偏（−40 ℃到+85 ℃） 3$ \text{σ} $：1 mg；
零偏不稳定性（Allan） @25 ℃：20 μg；
速度随机游走：0.03 m·s/$ \sqrt{h} $；
标称因素非线性：100 ppm④ 加速度灵敏度$ \dfrac{V\cdot {s}^{2}}{m} $或$ \dfrac{V\cdot s}{m} $ 0.015 ⑤ 加速度最大量程/(m·s−2) 98 ⑥ 通频带（Hz，$ {}_{{-3}}^{\text{+1}}\text{ dB} $） 0～50 ⑦ 加速度分辨率/(m·s−2) 0.01～0.02 
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表 2 991B型拾振器主要技术指标
Table 2. Main technical indicators of 991B vibration pickup
序号 项目 技术参数 ① 加速度灵敏度$ \dfrac{V\cdot {s}^{2}}{m} $或$ \dfrac{V\cdot s}{m} $ 0.3 ② 加速度最大量程/(m·s−2) 15 ③ 通频带（Hz，$ {}_{\text{-3}}^{\text{+1}}\text{dB} $） 0.125～80 ④ 输出负荷电阻$ /\text{kΩ} $ 1000 加速度分辨率/(m·s−2) 5×10−6
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