Multivariable Signal Processing for Characterization of Failure Modes in Thin-Ply Hybrid Laminates Using Acoustic Emission Sensors.
Multivariable Signal Processing for Characterization of Failure Modes in Thin-Ply Hybrid Laminates Using Acoustic Emission Sensors.
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DOI：
10.3390/s23115244
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发表时间：
2023-05-31
期刊：
影响因子：
--
通讯作者：
Fotouhi M
中科院分区：
文献类型：
--
作者：
Fotouhi S;Assaad M;Nasor M;Imran A;Ashames A;Fotouhi M
本研究的目的是找到一个全面的范围内的薄层伪韧性混杂复合材料层压板单轴拉伸加载时，故障模式和声发射（AE）事件之间的相关性。所研究的混杂层合板包括单向层合板（UD）、准各向同性层合板（QI）和开孔层合板（QI）。层压板表现出的应力应变响应，遵循弹性屈服硬化模式通常观察到的韧性金属。层合板经历了不同尺寸的碳纤维铺层断裂和分散分层的渐进失效模式。为了分析这些失效模式与声发射信号之间的相关性，采用高斯混合模型的多变量聚类方法。聚类结果和视觉观察被用来确定两个AE集群，对应于破碎和分层模式，与高振幅，能量和持续时间的信号链接到破碎。与通常的看法相反，高频信号和碳纤维碎片之间没有相关性。多变量AE分析能够识别纤维断裂和分层及其顺序。然而，这些失效模式的定量评估受到失效性质的影响，失效性质取决于各种因素，如堆叠顺序、材料特性、能量释放率和几何形状。
The aim of this study was to find the correlation between failure modes and acoustic emission (AE) events in a comprehensive range of thin-ply pseudo-ductile hybrid composite laminates when loaded under uniaxial tension. The investigated hybrid laminates were Unidirectional (UD), Quasi-Isotropic (QI) and open-hole QI configurations composed of S-glass and several thin carbon prepregs. The laminates exhibited stress-strain responses that follow the elastic-yielding-hardening pattern commonly observed in ductile metals. The laminates experienced different sizes of gradual failure modes of carbon ply fragmentation and dispersed delamination. To analyze the correlation between these failure modes and AE signals, a multivariable clustering method was employed using Gaussian mixture model. The clustering results and visual observations were used to determine two AE clusters, corresponding to fragmentation and delamination modes, with high amplitude, energy, and duration signals linked to fragmentation. In contrast to the common belief, there was no correlation between the high frequency signals and the carbon fibre fragmentation. The multivariable AE analysis was able to identify fibre fracture and delamination and their sequence. However, the quantitative assessment of these failure modes was influenced by the nature of failure that depends on various factors, such as stacking sequence, material properties, energy release rate, and geometry.
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影响因子：
6.3
作者：
Fotouhi, Mohamad;Fuller, Jonathan;Wisnom, Michael R.
通讯作者：
Wisnom, Michael R.
影响因子：
1.6
作者：
Fotouhi, Mohamad;Suwarta, Putu;Wisnom, Michael R.
通讯作者：
Wisnom, Michael R.
DOI：
10.1177/1475921714568403
发表时间：
2015-05-01
影响因子：
6.6
作者：
Fotouhi, Mohamad;Saeedifar, Milad;Minak, Giangiacomo
通讯作者：
Minak, Giangiacomo
DOI：
10.1016/j.compositesa.2014.11.006
发表时间：
2015-02-01
影响因子：
8.7
作者：
Jalalvand, Meisam;Czel, Gergely;Wisnom, Michael R.
通讯作者：
Wisnom, Michael R.
影响因子：
4.2
作者：
Godin, N;Huguet, S;Salmon, L
通讯作者：
Salmon, L