面向CFRP构件的复合式电阻抗成像无损检测方法研究

项目名称： 面向CFRP构件的复合式电阻抗成像无损检测方法研究

项目编号： No.61301244

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 范文茹

作者单位： 中国民航大学

项目金额： 26万元

中文摘要： 碳纤维增强复合材料（Carbon Fiber Reinforced Polymer，CFRP）广泛应用于航空航天领域，实现其结构健康监测对提高适航审定的损伤容限探测水平、降低检测成本具有重要意义。本项目针对飞机CFRP构件，利用碳纤维的自传感特点及结构损伤的电学敏感特性，提出一种基于复合式电阻抗成像的新型无损检测方法。该方法具有非侵入、无辐射、成本低及响应快速等优点，为实现CFRP构件结构健康无损监测、预估残余寿命及损伤扩展等提供新手段。本项目利用CFRP电学特性，研究复合式电阻抗探测方法及可视化手段，通过建立介质分布与测量数据间的映射模型，优化设计电极结构及激励测量模式；研究基于开放式和聚焦式电极结构的图像重建算法，获取结构损伤可视化信息；融合两种测量方法，开展非线性参数辨识方法研究，提取损伤相关特征参数；最后通过构建数字化测量系统，实现CFRP损伤试样在线、可视化、动态、无损检测。

中文关键词： 碳纤维复合材料；各向异性；电阻抗成像；图像重建；

英文摘要： Since carbon fiber reinforced polymer (CFRP) composites are widely used in the aerospace field, it is significant to improve detection level for damage tolerance during the process of airworthiness certification and reduce testing costs by adopting health monitoring technology. As the reinforcement carbon fiber has self-conductivity and the structural damage of CFRP has sensitive electrical characteristics, a new compound electrical impedance tomography method is proposed for aircraft CFRP composites. This new method has advantages of non-invasion, non-radiation, low cost and fast response, etc. so that it can provide a new way for monitoring structural health, estimating the condition of residual life and observing damage propagation. Based on the complex electrical properties of CFRP, the measurement and imaging mechanism of the combined imaging sensor will be studied, and the optimization of the sensor parameters and excitation/detection scheme will be completed accordingly. Then, image reconstruction algorithms for both open and focused modes of electrical impedance tomography will be further discussed, obtaining the visual information of structural damages. By fusing the two different measurements, nonlinear parameter discerning method will be explored to extract the characteristic parameters for structural

英文关键词： Carbon Fiber Reinforced Polymer；anisotropic；electrical impedance tomography；image reconstruction；