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基于导波传播模型的MUSIC损伤识别算法
引用本文:左浩,许才彬,杨志勃.基于导波传播模型的MUSIC损伤识别算法[J].航空学报,2021,42(6):225143-225143.
作者姓名:左浩  许才彬  杨志勃
作者单位:1. 长安大学 工程机械学院, 西安 710064;2. 重庆大学 航空航天学院, 重庆 400044;3. 西安交通大学 机械工程学院, 西安 710049
基金项目:国家自然科学基金(51905041,52005058,51875433);陕西省自然科学基础研究计划资助项目(2020 JQ-362);国家重点研发计划(2020YFB2010800);中央高校基本科研业务费专项资金(300102259303)
摘    要:针对结构健康监测领域的损伤近场定位问题,提出了适用于复合材料结构损伤识别的近场二维多重信号分类(MUSIC)损伤识别算法。该损伤识别算法将导波传播模型引入近场二维MUSIC损伤识别模型,构造损伤散射信号与实验差信号的互相关矩阵,通过信号子空间与噪声子空间正交特性构造近场二维MUSIC空间谱。通过数值仿真和实验验证了所提出的损伤识别算法能够有效地识别复合材料结构损伤位置信息,具有很高的定位精度和分辨率。针对飞机垂直尾翼的加强筋结构对导波传播特性影响较大的问题,提出了分区域监测的损伤检测策略,并利用基于导波传播模型的二维MUSIC空间谱损伤识别算法成功地识别飞机垂直尾翼结构损伤,实现了复杂复合材料结构损伤识别的工程验证。

关 键 词:复合材料结构  损伤识别  多重信号分类算法  导波传播  飞机垂直尾翼  
收稿时间:2020-12-23
修稿时间:2021-02-21

MUSIC damage identification algorithm based on guided wave model
ZUO Hao,XU Caibin,YANG Zhibo.MUSIC damage identification algorithm based on guided wave model[J].Acta Aeronautica et Astronautica Sinica,2021,42(6):225143-225143.
Authors:ZUO Hao  XU Caibin  YANG Zhibo
Institution:1. School of Construction and Machinery, Chang'an University, Xi'an 710064, China;2. College of Aerospace Engineering, Chongqing University, Chongqing 400044, China;3. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China
Abstract:This paper presents a new two-dimensional near-field Multiple Signal Classification (MUSIC) damage identification algorithm for damage location of composite structures in structural health monitoring. The wave propagation model is introduced into the proposed MUSIC damage model. The cross-correlation function of residual signals received by experiment and scattered signals received by damage scattering model are developed for spatial spectrum estimation MUSIC algorithm. The spatial spectrum estimation MUSIC algorithm is employed for damage identification of composite structures due to the orthogonality of signal and noise. The numerical example and experiments are employed to demonstrate the validity of proposed MUSIC damage identification algorithm for damage identification with high accuracy and resolution. The proposed damage identification algorithm is further verified for damage identification of aircraft vertical tail. The stiffeners of aircraft vertical tail have great influence on propagation characteristics of guided waves, so the regional damage monitoring strategy is proposed. The experimental results demonstrate the proposed damage identification algorithm is appropriate for complex composite structure.
Keywords:composite structures  damage identification  multiple signal classification  guided wave  aircraft vertical tail  
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