ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Micro-crack detection of nonlinear Lamb wave propagation in three-dimensional plates with mixed-frequency excitation |
Wei-Guang Zhu(祝伟光)1, Yi-Feng Li(李义丰)1,2, Li-Qiang Guan(关立强)1, Xi-Li Wan(万夕里)1, Hui-Yang Yu(余辉洋)1, Xiao-Zhou Liu(刘晓宙)3 |
1 College of Computer Science and Technology, Nanjing Tech University, Nanjing 211800, China; 2 Key Laboratory of Modern Acoustics, Ministry of Education, Nanjing University, Nanjing 210093, China; 3 Key Laboratory of Modern Acoustics, Ministry of Education, Institute of Acoustics and School of Physics, Nanjing University, Nanjing 210093, China |
|
|
Abstract We propose a nonlinear ultrasonic technique by using the mixed-frequency signals excited Lamb waves to conduct micro-crack detection in thin plate structures. Simulation models of three-dimensional (3D) aluminum plates and composite laminates are established by ABAQUS software, where the aluminum plate contains buried crack and composite laminates comprises cohesive element whose thickness is zero to simulate delamination damage. The interactions between the S0 mode Lamb wave and the buried micro-cracks of various dimensions are simulated by using the finite element method. Fourier frequency spectrum analysis is applied to the received time domain signal and fundamental frequency amplitudes, and sum and difference frequencies are extracted and simulated. Simulation results indicate that nonlinear Lamb waves have different sensitivities to various crack sizes. There is a positive correlation among crack length, height, and sum and difference frequency amplitudes for an aluminum plate, with both amplitudes decreasing as crack thickness increased, i.e., nonlinear effect weakens as the micro-crack becomes thicker. The amplitudes of sum and difference frequency are positively correlated with the length and width of the zero-thickness cohesive element in the composite laminates. Furthermore, amplitude ratio change is investigated and it can be used as an effective tool to detect inner defects in thin 3D plates.
|
Received: 20 October 2019
Revised: 17 November 2019
Accepted manuscript online:
|
PACS:
|
43.20.+g
|
(General linear acoustics)
|
|
43.35.+d
|
(Ultrasonics, quantum acoustics, and physical effects of sound)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61571222, 61602235, and 11474160) and the Six Talent Peaks Project of Jiangsu Province, China. |
Corresponding Authors:
Yi-Feng Li
E-mail: lyffz4637@163.com
|
Cite this article:
Wei-Guang Zhu(祝伟光), Yi-Feng Li(李义丰), Li-Qiang Guan(关立强), Xi-Li Wan(万夕里), Hui-Yang Yu(余辉洋), Xiao-Zhou Liu(刘晓宙) Micro-crack detection of nonlinear Lamb wave propagation in three-dimensional plates with mixed-frequency excitation 2020 Chin. Phys. B 29 014302
|
[1] |
Yang R Z, He Y Z and Zhang H 2016 Renew. Sust. Energ. Rev. 60 1225
|
[2] |
Mańka M, Rosiek M, Martowicz A, Stepinski T and Uhl T 2016 Mech. Syst. Sig. Process. 78 71
|
[3] |
Shan S B, Cheng L and Li P 2017 Smart Mater. Struct. 26 025019
|
[4] |
Cawley P and Alleyne D 1996 Ultrasonics 34 287
|
[5] |
Gao H and Rose J L 2010 Aeronaut. J. 114 49
|
[6] |
Jhang K Y 2009 Int. J. Precis. Eng. Man. 10 123
|
[7] |
Broda D, Staszewski W J, Martowicz A, Uhl T and Silberschmidt V V 2014 J. Sound Vib. 333 1097
|
[8] |
Chen J, Xu Z, Yu Y and Yao Y P 2014 NDT E Int. 67 10
|
[9] |
Delrue S and Koen V D A 2015 Ultrasonics 63 147
|
[10] |
Novak A, Bentahar M, Tournat V, Guerjouma R E and Simon L 2012 NDT E Int. 45 1
|
[11] |
Wan X, Tse P W, Chen J M, Xu G H and Zhang Q 2018 Ultrasonics 82 57
|
[12] |
Jiao J P, Sun J, Li N, Song G R, Wu B and He C F 2014 NDT E Int. 62 122
|
[13] |
Zhou J Y, Xiao L, Qu W Z and Lu Y 2017 NDT E Int. 92 22
|
[14] |
Antonaci P, Bruno C L E, Bocca P G, Scalerandi M and Gliozzi A S 2010 Cem. Concr. Res. 40 340
|
[15] |
Kudela P, Radzienski M, Ostachowicz W and Yang Z B 2018 Mech. Syst. Signal Process. 108 21
|
[16] |
Wan X, Tse P W, Xu G H, Tao T F and Zhang Q 2016 Smart Mater. Struct. 25 045023
|
[17] |
Wang Y, Guan R and Lu Y 2017 Ultrasonics 80 87
|
[18] |
Zhao Y X, Li F L, Cao P, Liu Y L, Zhang J Y and Fu S Y 2017 Ultrasonics 79 60
|
[19] |
Sotoudeh V, Black R J, Moslehi B and Qiao P Z 2014 Proc. SPIE 9062 2978
|
[20] |
Yang Y, Ng C T and Kotousov A 2018 Smart Mater. Struct. 27 055013
|
[21] |
Li W B, Cho Y and Achenbach J D 2012 Smart Mater. Struct. 21 085019
|
[22] |
Jiao J P, Meng X J, He C F and Wu B 2017 NDT E Int. 85 63
|
[23] |
Li F L, Zhao Y X, Cao P and Hu N 2018 Ultrasonics 87 33
|
[24] |
Sun M X, Xiang Y X, Deng M X, Xu J C and Xuan F Z 2018 NDT E Int. 93 1
|
[25] |
Lee D J, Cho Y and Li W B 2014 AIP Conf. Proc. 1581 662
|
[26] |
Pai P F, Deng H G and Sundaresan M J 2015 Mech. Syst. Sig. Process. 62-63 183
|
[27] |
Shen Y F and Giurgiutiu V 2015 Wave Motion 58 22
|
[28] |
Rauter N, Lammering R and Kühnrich T 2016 Compos. Struct. 152 247
|
[29] |
Ben B S, Ben B A, Vikram K A and Yang S H 2013 Measurement 46 904
|
[30] |
Ochôa P, Infante V, Silva J M and Groves R M 2015 Compos. Part. B-Eng. 80 291
|
[31] |
Wan X, Zhang Q, Xu G H and Tse P W 2014 Sensors 14 8528
|
[32] |
Yelve N P, Mitra M and Mujumdar P M 2013 Struct. Control. Hlth. 21 833
|
[33] |
Jiao J P, Sun J J, Li G H, Wu B and He C F 2015 NDT E Int. 69 1
|
[34] |
Shen Y F and Giurgiutiu V 2014 J. Intel. Mat. Syst. Str. 25 506
|
[35] |
He C F, Liu H Y, Liu Z H and Wu B 2013 J. Sound Vib. 332 7243
|
[36] |
Sherafat M H, Quaegebeur N, Hubert P, Lessard L and Masson P 2016 J. Reinf. Plast. Comp. 35 796
|
[37] |
Sarrado C, Leone F S and Turno A 2016 Eng. Fract. Mech. 168 105
|
[38] |
Jiang H X and Meng D G 2018 Eng. Fract. Mech. 199 280
|
[39] |
Carreras L, Bak B L V, Turon A, Renart J and Lindgaard E 2018 Eur. J. Mech. A-Solid 72 464
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|