沈阳工业大学 信息科学与工程学院, 辽宁 沈阳 110870
*邮箱:yuy@sut.edu.cn
收稿:2024-07-03,
网络出版:2025-06-28,
纸质出版:2025-06-10
移动端阅览
刘强, 于洋, 杨平. 叶片高周疲劳裂纹声发射特征试验研究[J]. 兵工学报, 2025,46(6):240537.
Qiang LIU, Yang YU, Ping YANG. Experimental Study on Acoustic Emission Characteristics of High-cycle Fatigue Cracks in Blades[J]. Acta Armamentarii, 2025, 46(6): 240537.
刘强, 于洋, 杨平. 叶片高周疲劳裂纹声发射特征试验研究[J]. 兵工学报, 2025,46(6):240537. DOI: 10.12382/bgxb.2024.0537.
Qiang LIU, Yang YU, Ping YANG. Experimental Study on Acoustic Emission Characteristics of High-cycle Fatigue Cracks in Blades[J]. Acta Armamentarii, 2025, 46(6): 240537. DOI: 10.12382/bgxb.2024.0537.
针对叶片高周疲劳裂纹损伤过程无有效在线监测手段的难题
采用声发射新技术开展定幅载荷作用下叶片高周疲劳裂纹声发射在线监测试验研究
探索叶片裂纹萌生、扩展声发射信号特征演化规律。研究高周疲劳裂纹声发射参数、频谱特征
提出裂纹活性系数指标
将叶片高周疲劳裂纹分为裂纹萌生、亚稳态扩展、快速扩展3个阶段
在裂纹萌生结束及裂纹快速扩展阶段
裂纹活性系数明显增加
可以实现裂纹早期预警。采用广义S变换分析裂纹不同损伤阶段声发射信号频谱。研究结果表明:裂纹萌生时信号能量集中在90~160kHz
裂纹扩展时信号能量主要集中在80~180kHz;裂纹快速扩展时在120kHz处出现明显的能量峰值;裂纹快速扩展时信号能量最大
裂纹萌生时能量次之
亚稳态扩展时能量最小。
In view of the problem that there is no effective online monitoring means in the process of blade high-cycle fatigue crack damage
an acoustic emission technology is adopted to study the online monitoring test of blade high-cycle fatigue crack acoustic emission under the action of fixed amplitude load
and explore the evolution law of blade crack initiation and propagation signal characteristics.The acoustic emission parameters and frequency spectrum characteristics of high-cycle fatigue crack are studied
and a crack activity coefficient index (CAI) is proposed.The high-cycle fatigue cracks in blades are divided into three stages
i.e.
crack initiation
metastable propagation
and rapid propagation.At the end of crack initiation and the rapid propagation stage
the crack activity coefficient significantly increases
which can achieve early warning of cracks.The generalized S transform is used to analyze the frequency spectra of acoustic emission signals at different damage stages
The results show that the signal energy is concentrated at 90-160kHz during crack initiation
the signal energy is mainly concentrated at 80-180kHz during the crack propagation
and a distinct energy peak at 120kHz appears during rapid crack propagation
The signal energy is the highest during rapid crack propagation
the energy is higher during crack initiation
and the energy is the lowest during crack metastable propagation.
WANG X W , HOU J , GUO H , et al . A Miner’s rule based fatigue life prediction model for combined high and low cycle fatigue considering loading interaction effect [J ] . Fatigue & Fracture of Engineering Materials & Structures , 2023 , 64 : 1 - 16 .
孙聪 . 民用航空发动机叶片损伤原位检测与评价技术 [D ] . 哈尔滨 : 哈尔滨工业大学 , 2022 .
SUN C . In-situ detection and evaluation technology of civil aero-engine blade damage [D ] . Harbin : Harbin Institute of Technology , 2022 . (in Chinese)
KONG Y , BENNETT C J , HYDE C J . A review of non-destructive testing techniques for the in-situ investigation of fretting fatigue cracks [J ] . Materials & Design , 2020 , 10 : 90 - 93 .
CHEW H B . Cohesive zone laws for fatigue crack growth:Numerical field projection of the micromechanical damage process in an elasto-plastic medium [J ] . International Journal of Solids and Structures , 2014 , 51 ( 6 ): 1410 - 1420 .
李练兵 , 肖亚泽 , 张萍 , 等 . 基于CWT-RES34的风电机组叶片裂纹状态评估 [J ] . 噪声与振动控制 , 2024 , 44 ( 2 ): 143 - 148 ,293. 为有效进行风电机组叶片运行时的裂纹状态评估,提出一种基于连续小波变换(Continue Wavelet Transform,CWT)和残差神经网络(Residual Networks,ResNet)结合的叶片裂纹状态评估方法。首先对叶片加速度振动信号做CWT后生成二维彩色时频图像,然后将图像分别作为训练集和测试集,使用34 层ResNet 进行训练和诊断,最后选取天津某风电场提供的1.5 MW风力发电机作为研究对象,根据其样本数据将叶片故障程度按照裂纹长度和宽度分为健康、轻微、中等、严重、危险5 种状态,评估平均准确率高达98.23 %,方法的有效性和可行性得到验证。
LI L B , XIAO Y Z , ZHANG P , et al . State estimation of cracks of wind turbine blades based on CWT-RES34 [J ] . Noise and Vibration Control , 2024 , 44 ( 2 ): 143 - 148 ,293. (in Chinese)
ZHAO L Z , YOU R Z , REN L . Inverse finite element method and support vector regression for automated crack detection with OFDR-Distributed fiber optic sensors [J ] . Measurement , 2024 , 234 :114916( 1 - 17 ).
宋水舟 , 任会兰 , 宁建国 . 混合型加载下钢纤维混凝土损伤过程的声发射参数分析 [J ] . 兵工学报 , 2022 , 43 ( 8 ): 1881 - 1891 .
SONG S Z , REN H L , NING J G . Acoustic emission parameters in the damage process of steel fiber reinforced concrete under mixed loading [J ] . Acta Armamentarii , 2022 , 43 ( 8 ): 1881 - 1891 . (in Chinese) DOI: 10.12382/bgxb.2021.0468 http://doi.org/10.12382/bgxb.2021.0468 Using the acoustic emission (AE) technique, a series of Brazilian disk tests with a central notch (BDCN) under mixed loading are conducted to investigate the fracture mechanism of steel fiber reinforced concrete (SFRC). The evolution of the AE parameters during the fracture process is analyzed. The results indicate that the damage process consists of three stages based on the characteristics of the cumulative signal strength and load versus time relationships. The damage in the first stage is caused by the microcrack initiation, and then the coalescence and extension of microcracks. AE signals captured during the third stage are caused by the debonding and extension of steel fibers. By employing the machine learning algorithm and analyzing the AE parameters, the damage mechanism of SFRC is revealed. Using Gaussian mixture models, it is possible to classify damage sources as tensile cracks or shear cracks. Tensile cracks dominate the damage process, while shear cracks contribute to it. From the support vector machine, it is evident that the boundaries between tensile and shear cracks are not always straight lines passing through the origin.
黄振峰 , 刘永坚 , 毛汉颖 , 等 . 基于K熵和关联维数的金属疲劳损伤过程的声发射信号特征分析 [J ] . 振动与冲击 , 2017 , 36 ( 15 ): 210 - 214 .
HUANG Z F , LIU Y J , MAO H Y , et al . Feature analysis for acoustic emission signals during metal fatigue damage based on Kolmogorov entropy and correlation dimension [J ] . Journal of Vibration and Shock , 2017 , 36 ( 15 ): 210 - 214 . (in Chinese)
HA M Y , KIM J H , KIM S W . Crack detection in upsetting of aluminum alloy using acoustic emission monitoring technology [J ] . The International Journal of Advanced Manufacturing Technology , 2023 , 124 : 2823 - 2834 .
张治衡 . 基于声发射技术的航空发动机叶片损伤监测预示方法研究 [D ] . 北京 : 北京化工大学 , 2019 .
ZHANG Z H . Study on the monitoring of aviation engine blade damage based on acoustic emission technology [D ] . Beijing : Beijing University of Chemical Technology , 2019 . (in Chinese)
廖力达 , 向旭宏 , 舒王咏 , 等 . 基于声发射Ib值分析的渗铝321钢损伤特性研究 [J ] . 仪器仪表学报 , 2024 , 45 ( 1 ): 211 - 220 .
LIAO L D , XIANG X H , SHU W Y , et al . Study on damage characteristics of aluminized 321 steel based on acoustic emission Ib-value analysis [J ] . Chinese Journal of Scientific Instrument , 2024 , 45 ( 1 ): 211 - 220 .(in Chinese)
门进杰 , 李东杰 , 兰涛 , 等 . 2205双相不锈钢疲劳损伤声发射研究 [J ] . 结构工程师 , 2023 , 39 ( 2 ): 142 - 153 . 2205双相不锈钢以其强度高、耐腐蚀、耐高温等优点成为桥梁结构的新兴材料,但其在疲劳荷载下的损伤问题对整体结构安全性能影响很大。为了明确2205双相不锈钢材料在疲劳荷载下的损伤发展情况,本文对3组相同矩形截面试件进行了三种不同应力比的拉伸疲劳损伤试验,同时进行声发射信号采集,通过声发射经历图分析探讨了声发射振铃计数及能量与试件裂缝发展程度的关系,并且采用裕度指标对试验过程进行了评估。结果表明,随着应力比的增大,声发射特征参数的循环周次有了一定的增长,且试件损伤进程放缓;同时裕度评价指标的变化范围逐渐减小,说明该指标可以较好地表征试件的疲劳损伤发展情况。基于试验和分析结果建立声发射累计振铃计数-疲劳裂纹长度的疲劳损伤模型,通过该模型得出的计算裂纹与实际裂纹发展趋势较为吻合。故本文研究成果可为2205双相不锈钢材料疲劳损伤检测和评估提供依据。
MEN J J , LI D J , LAN T , et al . Acoustic emission study on fatigue damage of 2205 duplex stainless steel [J ] . Structural Engineers , 2023 , 39 ( 2 ): 142 - 153 .(in Chinese) 2205 duplex stainless steel has become a new material for bridge structures due to its high strength, corrosion resistance, and high temperature resistance. However, its fatigue damage has a great impact on the safety performance of structures. In order to clarify the damage development of 2205 duplex stainless steel under fatigue load, fatigue damage tests with different stress ratios on three groups of specimens were carried out, and acoustic emission tests were conducted simultaneously. The relationship between acoustic emission ringing count and energy and the degree of crack development of the specimen was explored through the acoustic emission experience gragh. Meanwhile, a margin index was used to evaluate the test process. The results show that with the increase of stress ratio, the damage process of specimens slows down. Variation range of the margin evaluation index decreases gradually, indicating that the index can characterize the fatigue damage development of the specimen well. In addition, a fatigue damage model of acoustic emission cumulative ringing count-fatigue crack length was established. The cracks calculated by the fatigue damage model are consistent with the actual crack development trend. Therefore, the research results in this paper can provide a basis for the fatigue damage detection and evaluation of 2205 duplex stainless steel.
SHI S R , WU G Y , CHEN H , et al . Acoustic emission monitoring of fatigue crack growth in hadfield steel [J ] . Sensors (Basel,Switzerland) , 2023 , 23 ( 14 ): 1 - 18 .
ZHANG Z H , YANG G A , HU K . Prediction of fatigue crack growth in gas turbine engine blades using acoustic emission [J ] . Sensors , 2018 , 18 ( 5 ): 1311 - 1321 .
YAN L , FAN J K . In-situ SEM study of fatigue crack initiation and propagation behavior in 2524 aluminum alloy [J ] . Materials & Design , 2016 , 110 : 92 - 601 .
MADHAV B , ALI A , ALEXANDER B , et al . Acoustic emission monitoring for necking in sheet metal forming [J ] . Journal of Materials Processing Technology , 2022 , 310 :117758( 1 - 15 ).
JAEWOONG P , SUNG J K , YOUNG D L , et al . Real-time monitoring of stress corrosion cracking in 304 L stainless steel pipe using acoustic emission [J ] . Journal of Nuclear Materials , 2022 , 571 : 1881 - 1891 .
CHAI M Y , ZHANG Z X , DUAN Q , et al . Assessment of fatigue crack growth in 316LN stainless steel based on acoustic emission entropy [J ] . International Journal of Fatigue , 2018 , 109 : 1 - 15 .
CHAI M Y , ZHANG Z X , DUAN Q . A new qualitative acoustic emission parameter based on Shannon’s entropy for damage monitoring [J ] . Mechanical Systems and Signal Processing , 2018 , 100 : 6 - 17 .
KESHTGAR A , SAUERBRUNN C M , MODARRES M . Structural reliability prediction using acoustic emission-based modeling of fatigue crack growth [J ] . Applied Sciences , 2018 , 8 ( 8 ): 12 - 25 .
ZHAO K , YANG D X , GONG C . Evaluation of internal microcrack evolution in red sandstone based on time-frequency domain characteristics of acoustic emission signals [J ] . Construction and Building Materials , 2020 , 260 :1204315( 1 - 17 ).
HE K F , XIAO S W , LI X J . Time-frequency characteristics of acoustic emission signal for monitoring of welding structural state using Stockwell transform [J ] . The Journal of the Acoustical Society of America , 2019 , 145 ( 1 ): 4 - 19 .
0
浏览量
308
下载量
0
CNKI被引量
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024360号