Damage detection in large composite stiffened panels based on a novel SHM building block philosophy
Damage detection in large composite stiffened panels based on a novel SHM building block philosophy
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DOI：
10.1088/1361-665x/abe4b4
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发表时间：
2021-04
影响因子：
4.1
通讯作者：
Nan Yue;Z. S. Khodaei;M. H. Aliabadi
中科院分区：
文献类型：
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作者：
Nan Yue;Z. S. Khodaei;M. H. Aliabadi
提出了一种基于导波的结构健康监测（GWSHM）的结构健康监测（SHM）积木式（BB）方法，用于温度变化条件下大型复合材料加筋板的结构健康监测。所提出的方法遵循类似的理念，通过进行SHM分析和相关的测试，在不同层次的结构复杂性，通过BB的复合材料结构的工业实体化，开始与小试样和结构元件和细节（单纵梁），最后子组件（大型加筋复合板）的进展。每一级都建立在以前较不复杂的各级所获得的知识的基础上。利用简单试件和单纵梁板在大范围温度变化下收集的原始参考数据库，通过离群值分析实现了大型壁板中多个几乎不可见的冲击损伤（BVID）的检测。这种方法使数据利用率从较低级别的结构在拟议的BB测试计划，以更高级别的结构，从而减少了大型和复杂的结构所需的测试的数量。检测到的损伤，然后本地化提出的两步多损伤定位方法，首先确认的存在下的损伤和缩小了受损的部分，然后提供了一个增强的损伤成像精确的位置估计。在25 °C-50 °C的温度范围内，在机身平板中实现了真阳性率为0.909、假阳性率为0.111的损伤检测以及准确的多损伤定位。
This paper proposes a structural health monitoring (SHM) building block (BB) approach for guided wave based structural health monitoring (GWSHM) of large composite stiffened panel subjected to varying temperature conditions. The proposed approach follows a similar philosophy to industrial substantiation of composite structures through BB by conducting SHM analysis and associated tests at different levels of structural complexity, beginning with small coupon specimens and progressing through structural elements and details (mono-stringer) and finally sub-components (large stiffened composited panel). Each level builds on the knowledge gained at previous, less complex levels. The detection of multiple barely visible impact damage (BVID) in the large panels is achieved by outlier analysis using a reference pristine database gathered from simple coupons and mono-stringer panels under a wide range of temperature variation. This approach enables the data utilisation from lower-level structure in the proposed BB test scheme to higher-level structures and hence reduce the number of tests required for large and complex structures. The detected damage is then localised by a proposed two-step multi-damage localisation method, which first confirms the presence of the damage and narrows down the damaged section then provides an enhanced damage imaging for precise location estimation. Damage detection with a true positive rate of 0.909 and a false positive rate of 0.111 as well as accurate multiple damage localisation are achieved in the flat fuselage panels for a temperature range of 25 °C–50 °C.