声发射在复合材料损伤机理研究的应用现状及发展趋势

摘要/Abstract

摘要： 声发射具有实时性、连续监测的特点,在复合材料损伤机理的研究中取得了良好的应用。本文对声发射技术在复合材料损伤机理研究中的分析方法和应用现状进行了归纳总结,指出了参数分析方法、波形分析方法以及模式识别在现有研究中的优缺点,提出了声发射技术在复合材料损伤机理研究中亟需解决的关键技术,并指出了未来的发展趋势,以期为声发射在复合材料损伤机理研究的技术提升奠定基础。

关键词: 声发射, 复合材料, 损伤机理, 参数分析, 波形分析, 模式识别

Abstract: Acoustic emission has the characteristics of real-time and continuous monitoring, and has achieved good performance in the research on composite damage mechanism. In this paper, the analysis methods and application status of acoustic emission technology in composite damage mechanism research are summarized. The advantages and disadvantages of parameter analysis method, waveform analysis method and pattern recognition are pointed out. Key technologies to be solved and future development trend are put forward in the investigation on composite damage mechanism, in order to lay the foundation for the improvement of acoustic emission in composite damage mechanism research.

Key words: acoustic emission, composite material, damage mechanism, parameter analysis, waveform analysis, pattern recognition

中图分类号:

TB332

倪迎鸽,杨宇,吕毅,张伟. 声发射在复合材料损伤机理研究的应用现状及发展趋势[J]. 玻璃钢/复合材料, 2019, 0(8): 115-126.

NI Ying-ge, YANG Yu, LV Yi, ZHANG Wei. APPLICATION STATUS AND DEVELOPMENT TREND OF ACOUSTIC EMISSION IN RESEARCH ON DAMAGE MECHANISM OF COMPOSITE MATERIALS[J]. Fiber Reinforced Plastics/Composites, 2019, 0(8): 115-126.

参考文献

[1] 栗丽. 基于声发射信号分析的2D及3D纺织结构复合材料损伤机制研究[D]. 上海: 东华大学博士学位论文, 2015.
[2] 黄展鸿, 黄春芳, 张鉴炜, 等. 声发射技术在纤维增强复合材料损伤检测和破坏过程分析中的应用研究进展[J]. 材料导报A: 综述篇, 2018, 32(4): 1122-1128.
[3] 马恒儒, 陶春虎, 郑鹏. 声发射检测[M]. 北京: 机械工业出版社, 2004.
[4] 耿荣生. 声发射技术发展现状——学会成立20周年回顾[J]. 无损检测, 1998, 20(6): 151-154.
[5] Grosse C U, Masayasu O. Acoustic emission testing[M]. Springer:
2008.
[6] Liu P F, Chu J K, Liu Y L, et. al. A study on the failure mechanisms of carbon fiber/epoxy composite laminates using acoustic emission[J]. Materials and Design, 2012, 37: 228-235.
[7] Woo S C, Choi N S. Analysis of fracture process in single-edge-notched laminated composites based on the high amplitude acoustic emission events [J]. Composites Science and Technology, 2007, 67: 1451-1458.
[8] Baker C, Morscher G N, Pujar V V, et al. Transverse cracking in carbon fiber reinforced polymer composites: modal acoustic emission and peak frequency analysis[J]. Composites Science and Technology, 2015, 116: 26-32.
[9] Groot P J D, Wijnen P A M, Janssen R B F. Real-time frequency determination of acoustic emission for different fracture mechanisms in carbon/epoxy composites[J]. Composites Science and Technology, 1995, 55(4): 405-412.
[10] Nikbakht M, Yousefi J, Hossein H T, et al. Delamination evaluation of composite laminates with different interface fiber orientations using acoustic emission features and micro visualization[J]. Composites Part B Engineering, 2017, 113: 185-196.
[11] Loutas T H, Kostopoulos V. Health monitoring of carbon/carbon, woven reinforced composites. Damage assessment by using advanced signal processing techniques. Part Ⅰ: acoustic emission monitoring and damage mechanisms evolution[J]. Composites Science and Technology, 2009, 69: 265-272.
[12] Bourchak M, Farrow I R, Bond I P, et al. Acoustic emission energy as a fatigue damage parameter for CFRP composites[J]. International Journal of Fatigue, 2007, 29: 457-470.
[13] Michalcova L, Kadles M. Crack growth monitoring of CFRP composites loaded in different environmental conditions using acoustic emission method[J]. Procedia Engineering, 2015, 114: 86-93.
[14] Saeedifar M, Fotouhi M, Ahmadi N M, et al. Prediction of delamination growth in laminated composites using acoustic emission and cohesive zone modeling techniques[J]. Composites Structures, 2015, 124: 120-127.
[15] 姚磊江, 王景深, 张沥, 等. 二维C/SiC复合材料低速冲击损伤特性的表征研究[J]. 机械强度, 2013, 35(2): 148-151.
[16] 陈玉华, 刘时风, 耿荣生, 等. 声发射信号的谱分析和相关分析[J]. 无损检测, 2002, 24(9): 395-399.
[17] Morscher G N. Modal acoustic emission of damage accumulation in a woven SiC/SiC composite [J]. Composites Science and Technology, 1999, 59: 687-697.
[18] 张同华, 张慧萍, 晏雄. 小波分析在复合材料声发射信号特征研究中的应用[J]. 玻璃钢/复合材料, 2007(1): 46-48.
[19] 阳能军, 王新刚, 王蒙. HHT在复合材料损伤声发射信号处理中应用[J]. 电子测量技术, 2011, 34(8): 45-47.
[20] Giordano M, Calabro A, Esposito C, et al. An acoustic-emission characterization of the failure modes in polymer-composite materials[J]. Composites Science & Technology, 1998, 58(12): 1923-1928.
[21] Ni Q Q , Iwamoto M. Wavelet transform of acoustic emission signals in failure of model composites[J]. Engineering Fracture Mechanics, 2002, 69(6): 717-728.
[22] Loutas T H, Kostopoulos V, Ramirez-Jimenez C. Damage evolution in center-holed glass/polyester composites under quasi-static loading using time/frequency analysis of acoustic emission monitored waveforms[J]. Composites Science and Technology, 2006, 66(10): 1366-1375.
[23] Bak K M, Kalaichelvan K, Vijayaraghavan G K, et al. Acoustic emission wavelet transform on adhesively bonded single-lap joints of composite laminate during tensile test[J]. Journal of Reinforced Plastics and Composites, 2013, 32(2): 87-95.
[24] 栗丽, 晏雄. 复合材料损伤失效的声发射检测研究进展[J]. 材料导报, 2013, 27(9): 19-22.
[25] Godin N, Huguent S, Gaertner R, et al. Clustering of acoustic emission signals collected during tensile tests on unidirectional glass/polyester composite using supervised and unsupervised classifiers[J]. NDT&E International, 2004, 37(4): 253-264.
[26] Fotouhi M, Heidary H, Ahmadi M, et al. Characterization of composite materials damage under quasi-static three-point bending test using wavelet and fuzzy C-means clustering[J]. Journal of Composite Materials, 2012, 46: 1795-1808.
[27] Roundi W, El Mahi A, El Gharad A, et al. Acoustic emission monitoring of damage progression in glass/epoxy composites during static and fatigue tensile tests[J]. Applied Acoustics, 2018, 132: 124-134.
[28] Hassan S, Mohammad A, Ahmad G G, et al. Clustering effect on damage mechanisms in open-hole laminated carbon/epoxy composite under constant tensile loading rate, using acoustic emission[J]. Composite Structures, 2018, 204: 1-11.
[29] Bohmann T, Schlamp M, Ehrlich I. Acoustic emission of material damages in glass fibre-reinforced plastics[J]. Composites Part B, 2018, 155: 444-451.
[30] Hamdi S E, Le D A, Simon L, et al. Acoustic emission pattern recognition approach based on Hilbert-Huang transform for structural health monitoring in polymer-composite materials[J]. Applied Acoustics, 2013, 74: 746-757.
[31] 童小燕, 张佳丽, 姚磊江, 等. 2D-C/SiC 拉伸损伤的声发射信号聚类分析[J]. 固体力学学报, 2014, 35(2): 109-114.
[32] 马云阔, 戴光, 李伟, 等. 基于小波包特征熵的碳纤维复合材料损伤声发射信号特征提取方法[J]. 无损检测, 2017, 39(5): 76-80.
[33] 王旭. 基于声发射技术的聚乙烯自增强复合材料损伤模式识别研究[D]. 上海: 东华大学博士学位论文, 2010.
[34] Pashmforoush F, Fotouhi M, Ahmadi M. Damage characterization of glass/epoxy composite under three-point bending test using acoustic emission technique[J]. Journal of Materials Engineering and Performance, 2012, 21(7): 1380-1390.
[35] Pashmforoush F, Khamedi R, Fotouhi M, et al. Damage classification of sandwich composites using acoustic emission technique and k-means genetic algorithm[J]. Journal of Nondestructive Evaluation, 2014, 33(4): 481-492.
[36] Fotouhi M, Heidary H, Ahmadi M, et al. Characterization of composite materials damage under quasi-static three-point bending test using wavelet and fuzzy C-means clustering[J]. Journal of Composite Materials, 2012, 46(15): 1795-1808.
[37] Mahdian A, Yousefi J, Nazmdar M, et al. Damage evaluation of laminated composites under low-velocity impact tests using acoustic emission method[J]. Journal of Composite Materials, 2017, 51(4): 479-490.
[38] Saeedifar M, Najafabadi M A, Zarouchas D, et al. Clustering of interlaminar and intralaminar damages in laminated composites under indentation loading using acoustic emission[J]. Composites Part B, 2018, 144, 206-219.
[39] Moevus M, Godin N, R′Mili M, et al. Analysis of damage mechanisms and associated acoustic emission in two SiC/[Si-B-C] com-posites exhibiting different tensile behavious, Part Ⅱ: Unsupervised acoustic emission data clustering[J]. Composites Science and Technology, 2008, 68: 1258-1265.
[40] Moevus M, Godin N, R′Mili M, et al. Damage monitoring and identification in SiC/SiC minicomposites using combined acousto-ultrasonics and acoustic emission[J]. Composites: Part A, 2014, 57: 8-15.
[41] Lorriot T, Wargnier H, Wahl J C, et al. An experimental criterion to detect onset of delamination in real time[J]. Journal of Composite Materials, 2014, 48: 2175-2189.
[42] Oskouei A R, Heidary H, Ahmadi M, et al. Unsupervised acoustic emission data clustering for the analysis of damage mechanisms in glass/polyester composites[J]. Material and Design, 2012, 37: 416-422.
[43] Kempf M, Skrabala O, Altstadt V. Acoustic emission analysis for characterization of damage mechanisms in fibre reinforced thermosetting polyurethane and epoxy[J]. Composites: Part B, 2014, 56: 477-483.
[44] 穆朋刚. 复合材料典型结构疲劳寿命预测方法研究[D]. 西安: 西北工业大学博士学位论文, 2012.
[45] 张晶, 赵丽江. 模式识别[M]. 北京: 电子工业出版社, 2010.
[46] 沈功田, 耿荣生, 刘时风. 声发射信号的参数分析方法[J]. 无损检测, 2002, 24(2): 72-77.
[47] 耿荣生, 沈功田, 刘时风. 声发射信号处理和分析技术[J]. 无损检测, 2002, 24(1): 23-28.
[48] 许中林, 李国禄, 董天顺, 等. 声发射信号分析与处理方法研究进展[J]. 材料导报A: 综述篇, 2014, 28(5): 56-60.
[49] Liu R, Yang B, Zio E, et al. Artificial intelligence for fault diagnosis of rotating machinery: A review[J]. Mechanical Systems and Signal Processing, 2018, 108: 33-47.
[50] Hadi S, Rigoberto B. Emerging artificial intelligence methods in structural engineering[J]. Engineering Structures, 2018,171: 170-189.