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为了有效地提取梁式桥的损伤特征,提出了一种将提升小波变换与互相关函数幅值向量相结合的损伤识别的方法。首先利用提升小波变换将车载作用下梁桥结构的加速度响应分解到单阶模态上,再对提升重构后得到的第一阶响应进行互相关处理,利用提出的损伤指标来进行损伤定位。通过数值仿真和模拟实验,验证了方法的有效性,讨论了噪声及测点稀疏对识别结果的影响,结果表明该方法具有良好的噪声鲁棒性。另外,在综合考虑经济性和识别结果准确性的情况下,给出了合理的测点布置方式。
In order to extract the damage characteristics of beam bridge effectively, a method of damage identification based on lifting wavelet transform and amplitude vector of cross-correlation function is proposed. Firstly, the acceleration response of the bridge structure under vehicle load is decomposed into single-order modal using lifting wavelet transform. The first-order response obtained after lifting and reconstruction is cross-correlated, and the damage index is used to locate the damage. The effectiveness of the method is verified by numerical simulation and simulation experiments. The influence of noise and sparseness of measurement points on the recognition results is discussed. The results show that the proposed method has good noise robustness. In addition, given the economy and the accuracy of recognition results, a reasonable arrangement of measuring points is given.