Non-contact Acoustic Detection Technology for Bridge Structural Damage Based on High Frequency Vibration Signal Reconstruction Algorithm

To improve the accuracy of bridge damage location detection results, a non-contact acoustic detection technology for bridge structural damage based on high-frequency vibration signal reconstruction algorithm is proposed. Based on orthogonal complement pyramid decomposition and waveform feature parameters, the signal is subjected to series orthogonal subspace decomposition and reconstruction. After denoising, a linear mixed model is constructed using a high-frequency vibration signal reconstruction algorithm. By utilizing the reconstructed signal features and combining them with the propagation characteristics of sound waves, a coupling relationship between displacement and wave direction is established. And in the bending wave mode, the frequency is classified by integrating the displacement order derivative, and the damage is located by superimposing the wave state, achieving non-contact acoustic detection of bridge structural damage. The experimental results show that the non-contact acoustic detection of bridge structure damage using the method designed in this paper has good accuracy and practical application value.