Application of Artificial Neural Networks and Probability Ellipse methods for damage detection using Lamb waves
Application of Artificial Neural Networks and Probability Ellipse methods for damage detection using Lamb waves
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DOI：
10.1016/j.compstruct.2015.07.089
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发表时间：
2015-12-01
影响因子：
6.3
通讯作者：
Vitiello, P.
中科院分区：
文献类型：
--
作者：
De Fenza, A.;Sorrentino, A.;Vitiello, P.
本文介绍了人工神经网络和概率椭圆法在兰姆波损伤检测中的应用。波的传播数据被用来确定在金属和复合材料板的损伤的位置和程度。结构部件将配备能够激发和记录其动态响应的致动器和传感器（PCB）阵列。损伤指数，计算从测量的波传播数据在参考状态（基线）和当前状态，被引入作为结构损伤的决定因素。该指数是在相同环境条件下比较结构的两种状态的相对度量。损伤指数随损伤尺寸的增大而增大。此外，它的计算在不同的路径与人工神经网络或概率椭圆方法允许识别的位置和实体的损伤。两块由铝和织物复合材料制成的面板已用于测试。对铝板的损伤实体模拟为直径为6mm的贯通孔，对复合材料的损伤实体模拟为直径为2.5mm、4.5mm和9mm的贯通孔。为了得到一个训练，必要的人工神经网络方法的应用，有限元分析已经进行了铝板考虑到几个损伤路径。模拟已经进行，以表征复合板中的兰姆波的传播路径改变的损伤实体从孔直径等于2.5毫米到9毫米。损伤指数为每个损伤尺寸的模拟和测试将进行比较。这些方法在发展健康监测系统中的缺陷关键结构和复合材料结构的潜在应用进行了讨论。(C)2015爱思唯尔有限公司版权所有。
In this paper an application of Artificial Neural Networks and Probability Ellipse methods for damage detection using Lamb waves is presented. The wave propagation data are used to determine the location and degree of damage in metallic and composite plates. The structural components are to be instrumented with array of actuators and sensors (PCB) able to excite and record its dynamic response. A damage index, calculated from the measured wave propagation data in a reference state (baseline) and the current state, is introduced as a determinant of structural damage. The index is a relative measure comparing the two states of the structure under the same ambient conditions. The damage index increase its intensity when the damage size increase too. Moreover, its calculation in different paths associated with the Artificial Neural Networks or Probability Ellipse methods allow to identify position and entity of the damage. Two panels made by aluminum and fabric composite material have been used for tests. A damage entities simulated as through-thickness hole with diameter equal to 6 mm has been investigated for aluminium panel while three damage entities (through-thickness hole with size equal to 2.5 mm, 4.5 mm and 9 mm) have been investigated for that in composite material. In order to get a training, needful for the application of the ANN method, finite elements analysis have been performed for the aluminum panel taking into account several damage paths. Simulations have been performed in order to characterize the propagation path of the Lamb waves in composite plate changing the damage entities from hole diameter equal to 2.5 mm up to 9 mm. Damage index for each damage size for both simulations and tests will be compared. The potential applications of these methods in developing health monitoring systems in defects-critical structures and in composite material structures are discussed. (C) 2015 Elsevier Ltd. All rights reserved.