Research on Structural Damage Identification Methods Based on Wavelet Transform and Improved Particle Swarm Optimization Algorithm

针对结构的损伤识别问题，本文提出基于小波变换–改进粒子群算法的方法来识别结构损伤。首先利用小波系数的奇异性来快速确定结构的损伤位置，然后利用改进粒子群算法计算结构损伤位置的目标函数最优解，从而识别结构损伤程度。为了研究小波变换–改进粒子群算法的有效性，考虑了不同损伤程度的数值模拟与试验，从而对小波变换–改进粒子群算法识别结构损伤的有效性作出评价。研究表明小波变换–改进粒子群算法在识别结构损伤时有很高的识别效率与精度，且具有良好的运行稳定性。To address the problem of structural damage identification, a method based on wavelet transform-improved particle swarm optimization algorithm is proposed. Firstly, the singularity of wavelet coefficients is utilized to quickly determine the damage location of the structure. Subsequently, the improved particle swarm optimization algorithm is employed to calculate the optimal solution of the objective function at the damaged location, thereby identifying the degree of structural damage. To investigate the effectiveness of the wavelet transform-improved particle swarm optimization algorithm, numerical simulations and experiments with different damage levels are conducted to evaluate its performance in structural damage identification. The study demonstrates that the wavelet transform-improved particle swarm optimization algorithm exhibits high identification efficiency and accuracy, along with good operational stability, in identifying structural damage.