Amplifying Nonlinear Ultrasonic Signatures for Fatigue Damage Detection Via a Graded Elastic Meta-Enhancer

超声波传感器 非线性系统 材料科学 声学 增强子 计算机科学 复合材料 物理 化学 生物化学 基因表达 量子力学 基因
作者
Yiran Tian,Haoyu Fu,Yanfeng Shen
标识
DOI:10.1115/qnde2024-135199
摘要

Abstract Fatigue cracks pose a significant threat to engineering structures owing to their inconspicuous nature and difficulty in detection. However, for the nascent stage of fatigue crack growth, the nonlinear attributes are faint and challenging to discern and characterize, thereby compromising the practical effectiveness of the detection methodology. Consequently, the amplification of these subtle nonlinear features becomes imperative to improve the detection efficiency. In recent developments, elastic metamaterials, comprising artificially engineered structures, have demonstrated considerable potential in controlling wave modes and frequencies. Leveraging the metamaterial concept, this paper proposes an elastic meta-enhancer (ME), featuring special wave dispersion properties to facilitate effective wave collection for second higher harmonic through a graded array of resonators attached to an elastic plate, showcasing the improvement of sensitivity in detecting cracks. The amalgamation of resonance and spatial grading within surface arrays of structures enable meta-units to demonstrate broadband wave trapping, resulting in substantial amplification of out-of-plane displacement within the host plate medium at resonator positions, where the second higher harmonic component accumulates. Harnessing the interplay of these effects—deceleration in the resonators and amplification in the host beam—the numerical findings demonstrate that, given a sufficiently prolonged excitation time, the elastic ME can amplify the faint magnitude of the second higher harmonic produced by fatigue cracks within the host plate structure. The paper concludes with a summary, concluding remarks, and recommendations for future research directions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
毛毛完成签到,获得积分10
1秒前
科研通AI2S应助fairy采纳,获得10
1秒前
2秒前
量子星尘发布了新的文献求助10
3秒前
3秒前
勤恳完成签到,获得积分10
3秒前
4秒前
4秒前
Vyasa发布了新的文献求助10
8秒前
ballball233完成签到 ,获得积分10
9秒前
9秒前
AX完成签到,获得积分10
9秒前
fairy完成签到,获得积分10
10秒前
英姑应助忧郁的平安采纳,获得10
10秒前
优雅含莲完成签到 ,获得积分10
11秒前
pi完成签到 ,获得积分10
15秒前
15秒前
Oak完成签到 ,获得积分10
16秒前
稳重火龙果完成签到,获得积分20
16秒前
WTaMi完成签到 ,获得积分10
16秒前
17秒前
車侖完成签到 ,获得积分10
17秒前
18秒前
古月完成签到 ,获得积分10
19秒前
fairy发布了新的文献求助10
19秒前
xdy完成签到 ,获得积分10
21秒前
洁净灭男完成签到,获得积分10
22秒前
balko完成签到,获得积分10
22秒前
坐下喝茶完成签到 ,获得积分10
26秒前
完美世界应助Slide采纳,获得10
26秒前
28秒前
28秒前
29秒前
Carol完成签到,获得积分10
34秒前
坐标完成签到,获得积分20
34秒前
cy发布了新的文献求助10
35秒前
General完成签到 ,获得积分10
36秒前
Echo1128完成签到 ,获得积分10
36秒前
100完成签到,获得积分10
40秒前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Christian Women in Chinese Society: The Anglican Story 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3961032
求助须知:如何正确求助?哪些是违规求助? 3507273
关于积分的说明 11135142
捐赠科研通 3239686
什么是DOI,文献DOI怎么找? 1790338
邀请新用户注册赠送积分活动 872359
科研通“疑难数据库(出版商)”最低求助积分说明 803150