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针对人工编程数值建模进行缺陷识别反问题求解存在编程复杂、分析效率低的局限性,提出了采用通用有限元数值计算软件Ansys结合共轭梯度算法进行二次开发对复合材料内壁不规则缺陷进行红外诊断定量识别的方法,并引入了相对敏感系数的概念用于比较评估试件检测状态对缺陷边界形状定量识别的影响。通过相对敏感系数分析发现,不同检测状态下内壁不规则缺陷的可检测性并不相同,采用检测面达到最大温差时刻点的瞬态检测比稳态检测更具优越性。数值试验验证了Ansys二次开发红外诊断识别的可行性和相对敏感系数比较评估的有效性。
In order to overcome the limitation of complex programming and low efficiency in solving inverse problems of artificial programming numerical modeling, this paper proposed a new method to carry out the secondary development of the irregular inner defects of composite materials by using the general finite element numerical calculation software Ansys combined with conjugate gradient algorithm Infrared diagnostic method of quantitative identification, and introduced the concept of relative sensitivity coefficient for the comparative assessment of the test state of the defect boundary shape quantitative identification of the impact. Through the analysis of relative sensitivity coefficient, it is found that the detectability of irregular inner wall defects under different test conditions is different. The transient detection using the detection surface at the point of maximum temperature difference has more advantages than the steady state detection. Numerical experiments verify the feasibility of the Ansys secondary development of infrared diagnostic identification and comparative evaluation of the relative sensitivity coefficient.