Acoustic emission-based damage characterization of 70 MPa type IV hydrogen composite pressure vessels during hydraulic tests

Acoustic emission-based damage characterization of 70 MPa type IV hydrogen composite pressure vessels during hydraulic tests
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70 MPa IV型氢复合压力容器水压试验损伤声发射表征

DOI:
10.1016/j.ijhydene.2019.02.217
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发表时间:
2019
影响因子:
7.2
通讯作者:
Hong W. R.
Hong W. R.
中科院分区:
工程技术2区
文献类型:
--
作者:
Liao B. B.;Wang D. L.;Hamdi M.;Zheng J. Y.;Jiang P.;Gu C. H.;Hong W. R.

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采用声发射(AE)方法对70 MPa Ⅳ型氢复合材料压力容器的损伤机理进行了研究。首先,在0-105 MPa和0-158 MPa水压试验中,采用多级加载方法采集了两个容器的声发射信号。其次,研究了声发射信号的幅值、频率、能量等时域和频域特征参数。提出了一种基于经验模态分解(EMD)和K均值算法的多参数统计分析(MPSA)方法,对血管声发射事件进行聚类。采用经验模态分解(EMD)方法对信号的固有模态函数(IMF)进行分解,选取3个高频IMF重构特征参数,为K均值聚类分析提供信号预处理。基于声发射特征和损伤模式之间的关系,三个主要的集群与单独的振幅,绝对能量,能量相关的基体开裂,纤维/基体脱粘,纤维断裂损伤机制。此外,通过主元分析(PCA)和快速傅立叶变换(FFT)方法验证了MPSA方法用于信号分类的有效性。最后,通过水压试验和爆破试验,研究了三种主要损伤模式的声发射特征参数(幅值和峰值计数),探讨了压力容器的损伤演化行为。结果表明,声发射方法可以可靠地用于表征复合材料压力容器的损伤演化机制。
This paper aims to characterize the damage mechanisms of 70 MPa Type IV hydrogen composite pressure vessels using the acoustic emission (AE) method. First, AE signals were captured during the 0–105 MPa and 0–158 MPa hydraulic tests of two vessels using multi-step loading method. Second, the AE feature parameters in time-domain and frequency-domain such as amplitude, frequency, and energy are studied. A multi-parameter statistical analysis (MPSA) method based on empirical mode decomposition (EMD) andK-means algorithm is performed to cluster AE events for the vessels. Intrinsic mode functions (IMFs) are decomposed by EMD and three IMFs with high frequency are chosen to reconstruct the feature parameters and provide signal pre-processing forK-means clustering analysis. Based on the relationship between AE features and damage modes, three main clusters with separate amplitude, absolute energy, and energy are correlated to matrix cracking, fiber/matrix debonding, and fiber breakage damage mechanisms. Besides, the effectiveness of MPSA method for signal classification is validated by principal component analysis (PCA) and fast Fourier transformation (FFT) method. Finally, the AE feature parameters such as amplitude and counts to peak for the three main damage modes are studied for the hydraulic proof tests and the burst tests to explore the damage evolution behaviors of the vessels with pressure increasing. Results show that AE method can be reliably used to characterize damage evolution mechanisms in composite pressure vessels.