一种基于优化拟合策略的桥梁阻尼比与振型识别方法
By optimizing the fitting strategy and combining empirical wavelet transform and Hilbert transform, the influence of local amplitude fluctuations is weakened, and high-precision identification of bridge damping ratio and mode shape is achieved. This solves the problem of insufficient identification accuracy in traditional methods and improves the robustness of bridge health monitoring.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING UNIV
- Filing Date
- 2025-02-28
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional bridge damping ratio and mode shape identification methods are sensitive to noise and have difficulty accurately separating vehicle and bridge vibration signals, resulting in insufficient identification accuracy and robustness, especially in vehicle-bridge coupled systems.
An optimization-based fitting strategy is adopted, combining empirical wavelet transform and Hilbert transform. By extracting the envelope of the target modal acceleration components of the bridge, the influence of local instantaneous amplitude fluctuations is weakened by analyzing the symmetry of the envelope. The damping ratio and undamped mode shape are extracted by fitting using the least squares method.
It improves the accuracy and robustness of bridge damping ratio and mode shape identification, and realizes the extraction of undamped disturbance mode shapes of bridges without direct calculation of damping ratio and frequency, thus improving the accuracy and robustness of the identification results.
Smart Images
Figure CN120067657B_ABST