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通过振动能量变化检测和量化海洋复合材料舱壁分层故障。

Detection and Quantification of Delamination Failures in Marine Composite Bulkheads via Vibration Energy Variations.

机构信息

Técnicas y Servicios de Ingeniería S.L., Avda. Pio XII, 44, 28016 Madrid, Spain.

出版信息

Sensors (Basel). 2021 Apr 17;21(8):2843. doi: 10.3390/s21082843.

DOI:10.3390/s21082843
PMID:33920715
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8074088/
Abstract

This paper proposes a new vibration-based structural health monitoring method for the identification of delamination defects in composite bulkheads used in small-length fiber-based ships. The core of this work is to find out if the variations of vibration energy can be efficiently used as a key performance indicator for the detection and quantification of delamination defects in marine composite bulkheads. For this purpose, the changes of vibrational energy exerted by delamination defects in sandwich and monolithic composite panel bulkheads with different types of delamination phenomenon are investigated using a non-destructive test. Experiments show that the overall vibration energy of the bulkheads is directly dependent on the damage conditions of the specimens and therefore, the variations of this parameter are a good indicator of the incorporation of delamination defects in composite bulkheads. Additionally, the overall vibration energy changes also give interesting information about the severity of the delamination defect in the panels. Hence, this methodology based on vibratory energy can be used to accurately determine delamination defects in medium-sized composite bulkheads with the advantages of being a simple and cost-effective approach. The findings of this research possess important applications for the identification of delamination failures in composite components such as bulkheads, turbine blades, and aircraft structures, among others.

摘要

本文提出了一种新的基于振动的结构健康监测方法,用于识别小型纤维基船舶用复合材料舱壁中的分层缺陷。这项工作的核心是找出振动能量的变化是否可以有效地用作检测和量化海洋复合材料舱壁分层缺陷的关键性能指标。为此,使用无损测试研究了不同分层现象的夹层和整体复合材料舱壁的分层缺陷对振动能量的影响。实验表明,舱壁的整体振动能量直接取决于试件的损伤情况,因此,该参数的变化是复合材料舱壁分层缺陷的一个很好的指标。此外,整体振动能量变化也提供了关于面板分层缺陷严重程度的有趣信息。因此,这种基于振动能量的方法可以用于准确确定中型复合材料舱壁中的分层缺陷,其优点是简单且具有成本效益。这项研究的结果对于识别分层失效在复合材料组件中具有重要的应用,如舱壁、涡轮叶片和飞机结构等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/4e68ac65c842/sensors-21-02843-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/9686272f7b63/sensors-21-02843-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/d43dc76f436d/sensors-21-02843-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/f3511a87be75/sensors-21-02843-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/794939df411d/sensors-21-02843-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/44dce7120b67/sensors-21-02843-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/916219d4ee0e/sensors-21-02843-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/b759db780630/sensors-21-02843-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/8d31eed34039/sensors-21-02843-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/d2d6f3343798/sensors-21-02843-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/4e68ac65c842/sensors-21-02843-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/9686272f7b63/sensors-21-02843-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/d43dc76f436d/sensors-21-02843-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/f3511a87be75/sensors-21-02843-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/44dce7120b67/sensors-21-02843-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/b20feec6eb8a/sensors-21-02843-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/916219d4ee0e/sensors-21-02843-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/b759db780630/sensors-21-02843-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/8d31eed34039/sensors-21-02843-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/d2d6f3343798/sensors-21-02843-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89d5/8074088/4e68ac65c842/sensors-21-02843-g011.jpg

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