基于光纤Bragg光栅的CFRP板低速冲击定位研究

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yong Chen;Li Xu;Huanlin Liu;Yanqing Feng;Yihan Wang
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引用次数: 0

摘要

碳纤维增强聚合物(CFRP)复合材料板碰撞过程中的多模态噪声以及传统数据驱动方法对板力学性能的潜在影响是一个问题。提出了一种基于逆有限元法的复合材料板低速冲击定位方法。首先将有限元分析结果作为理论应变数据,验证了有限元法在低速碰撞场景下的有效性。采用变分模态分解(VMD)算法对信号进行分解,利用Hilbert变换得到信号包络,精确提取到达时间(TOA)。然后将提取的应变值输入到有限元中,重建复合材料板的变形场和应变场。实验结果表明,在多次单点冲击试验中,定位精度较高,平均误差在8.11 mm以内。在一定条件下,该方法也能实现多点冲击试验的正确定位。本研究为CFRP复合材料板结构健康监测提供了一种新的技术途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-Velocity Impact Localization of CFRP Plates Based on Fiber Bragg Grating Using the Inverse Finite Element Method
The multimodal noise during the collision of carbon-fiber-reinforced polymer (CFRP) composite plates and the potential influence of traditional data-driven methods on the mechanical properties of the plates are a problem. This study proposes a low-velocity impact localization method for composite plates using the inverse finite element method (iFEM). The finite element analysis results were initially used as theoretical strain data to verify the effectiveness of the iFEM in low-velocity impact scenarios. The variational mode decomposition (VMD) algorithm was used to decompose the signal, and the Hilbert transform was used to obtain the signal envelope for accurate extraction of the time of arrival (TOA). Extracted strain values were then input into the iFEM to reconstruct the deformation and strain fields of the composite plate. Experimental results demonstrate high localization accuracy in multiple single-point impact tests, with an average error within 8.11 mm. Under certain conditions, the method also achieves correct localization for multipoint impact tests. This study provides a novel technical approach for structure health monitoring of CFRP composite plates.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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