Probability of the presence of damage estimated from an active sensor network in a composite panel of multiple stiffeners
Probability of the presence of damage estimated from an active sensor network in a composite panel of multiple stiffeners
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DOI：
10.1016/j.compscitech.2008.11.005
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发表时间：
2009-10-01
影响因子：
9.1
通讯作者：
Su, Zhongqing
中科院分区：
文献类型：
--
作者：
Wang, Dong;Ye, Lin;Su, Zhongqing
五个加劲肋的复合材料面板中的穿透厚度孔的形式的人工损伤识别使用基于导波的损伤诊断算法，这是基于使用从主动传感器网络的兰姆波信号的相关系数估计的监测区域中的损伤的存在的概率。在不定义单个波分量的细节特征的情况下，该诊断算法集中于由于损伤的存在而引起的波信号的校准变化。估计了监测区域内每个网格出现损坏的概率。随后识别由具有阈值以上的损伤存在的概率值的网格组成的区域用于损伤识别。研究了传感路径网络和单个传感路径影响区形状对复合材料板损伤识别的影响。结果表明，诊断算法，计算效率高，易于自动化处理，可用于识别高度复杂的结构中的损伤。(c)爱思唯尔有限公司版权所有。
Artificial damage in the form of a through-thickness hole in a composite panel of five stiffeners is identified using a guided wave-based damage diagnostic algorithm, which is based on the probability of the presence of damage in the monitoring area estimated using correlation coefficients of Lamb wave signals from an active sensor network. Without defining the detail features of individual wave components, this diagnostic algorithm focuses on the calibrated changes in wave signals due to the presence of damage. The probability of the presence of damage at each grid in the monitoring area is estimated. The area consisting of grids with probability values for the presence of damage above a threshold is subsequently identified for damage identification. The effect of networks of sensing paths and shapes of the affected zone of individual sensing paths on identifying the damage in the composite panel is investigated. The results demonstrate that the diagnostic algorithm, being computationally efficient and amenable to automated processing, can be used to identify damage in highly complex structures. (c) Elsevier Ltd. All rights reserved.