各向异性结构损伤的导波密集阵列动态概率成像

The great demand for anisotropic composites in both military and civil aviation fields has posed serious challenges to the safety assessment and maintenance support in engineering applications. Therefore, the development of structural health monitoring (SHM) for aircraft structures is urgently needed. It has been proved that guided wave and dense array based imaging method is a very promising technology for damage monitoring of composite structures. However, the reliability of damage monitoring of this method is greatly reduced in practical engineering applications, due to the fact that the propagation characteristics of guided wave signals of dense array can be seriously affected by the complex time-varying conditions under service environment. Hence, this project combines guided wave and dense array based imaging method with dynamic probability modeling method, which is effective in dealing with time-varying problems. The uncertain influence caused by time-varying service environment on guided wave of composite structures is analyzed first. Then, the extraction method of array signal characteristics which are time-varying-independent and sensitive to damage is studied, so the time-varying influence can be suppressed. Based on the extracted characteristics, the guided wave and dense array based imaging method is optimized to solve the problem of aggravated anisotropy of wave velocity. Then a dynamic probability imaging method of anisotropic composites is proposed to realize reliable damage monitoring. At last, a functional demonstration system is built to verify and improve the engineering applicability of the proposed method, by using complex aircraft composite structures and typical aviation service environment. This research is of great significance to promote the practical engineering application of SHM technology for composite structures.

各向异性复合材料在军民航空领域的重大需求对其在工程应用中的安全评定和维护保障都提出了严峻挑战，迫切需要发展航空结构健康监测技术。导波密集阵列成像是一种很有前景的复合材料结构损伤监测方法，但在面向实际航空工程应用时，还存在阵列导波信号传播特性受复杂时变服役环境不确定性影响导致损伤监测可靠性大幅下降的瓶颈问题。本项目将动态概率建模这种有效处理时变问题的方法和导波密集阵列成像方法相结合，首先分析时变环境对各向异性结构阵列导波信号传播特性的不确定性影响规律；研究基于动态概率建模的时不变-损伤敏感阵列信号特征提取方法，抑制时变环境影响；在此基础上优化导波密集阵列成像方法，解决波速各向异性加剧问题，提出动态概率成像方法以实现损伤的可靠监测；最后结合复杂航空复合材料结构和典型服役环境搭建功能演示系统，开展方法的工程适用性验证优化。本项目的研究对于促进复合材料结构健康监测技术的实际工程应用具有重要意义。

复合材料结构的损伤监测对于保障该结构大量应用背景下的服役安全并降低维护成本，满足航空工程应用的安全性和经济性需求具有重大意义。本项目针对工程服役环境下结构损伤可靠监测难的瓶颈问题，在理清时变服役条件对导波不确定性影响的机理和规律的基础上，将动态概率建模方法同导波阵列成像方法相结合，提出了服役环境下基于导波密集阵列的动态概率成像方法研究，实现了时变条件下复合材料结构损伤的高可靠性诊断。项目的研究成果已被应用于航空航天实际结构的损伤监测，为结构的维护保障提供了关键技术支持，具有重要的应用价值。.项目已按计划完成全部研究内容，达到所有考核指标。项目实施期内，项目负责人成功晋升南京航空航天大学副高职称，入选第六届中国科协“青年人才托举工程”（科协资助），并获江苏省科学技术一等奖两项。项目研究成果共发表学术论文11篇，已投出学术论文1篇；授权国际发明专利2项、国家发明专利6项，已申请国家发明专利2项；作为分会场负责人协助中国航空学会举办大型学术会议1次，受邀参加国际/国内学术会议并做主题报告等3次；独立指导硕士生3名，协助团队教师指导硕、博士研究生7名。

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