精确提取结构模态参数是爆炸复合结构结合状态识别的重要基础，提出一种基于双树复小波变换（DTC-WT）和 Laplace 小波相关滤波相结合的爆炸复合结构模态参数识别方法。利用 DTCWT 的抗频带混叠特性，对多模态混叠振动响应信号进行模态分离，得到一组单模态分量；将 DTCWT 与 Laplace 小波相关滤波提取模态参数法相结合，实现爆炸复合结构的模态参数提取。将该方法应用于爆炸复合管的实验数据，精确提取了其固有频率和阻尼比，精度明显高于直接 Laplace 小波相关滤波法。将该方法应用于生产线上不同结合状态的爆炸复合管，有效提取了不同状态管道的模态参数。%Accurate extraction of modal parameters is an important basis for identification of explosion composite structures'interface state.A new modal parameter identification method for explosion composite structures based on dual-tree complex wavelet transformation(DTCWT)and Laplace wavelet correlation filtering was proposed.With the resistance band aliasing effects of DTCWT,a multi-modal vibration response signal was decomposed into a set of single modal signals,and then the modal parameters of the explosion composite structures were extracted with Laplace wavelet correlation filtering method from the single modal signals.The proposed method was validated using the test data of an explosion composite pipe,and then its natural frequencies and damping ratios were extracted accurately.Furthermore,the precision of the proposed method was better than that of Laplace wavelet correlation filtering method.The proposed method was applied to explosion composite pipes with different interface states on a production line,and their modal parameters were extracted effectively.
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