The Acoustic Emission Testing Technology on Large Crane Structure Damage

Zhang Yanbing; Yang Li

doi:doi:10.11648/j.eas.20200501.12

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The Acoustic Emission Testing Technology on Large Crane Structure Damage

Zhang Yanbing, Yang Li

Published in Engineering and Applied Sciences (Volume 5, Issue 1)

Received: 13 January 2020 Accepted: 27 January 2020 Published: 13 February 2020

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Abstract

The Acoustic Emission testing application on Crane steel structure is greatly limited, because of the factors such as the random transmission path of sound wave, the influence of dynamic load noise and the discontinuity of structure. In this paper, the feasibility of Acoustic Emission detection for crane structure damage is discussed from two aspects: mechanism test and field detection. Based on the analysis of the whole test process, when lifting heavy objects and braking, the metal structure is subjected to the instantaneous gravity load of tens of tons, so that a large number of AE signals are collected by various monitoring sensors. It mainly includes active defect damage, mechanical vibration, structural friction and electrical noise, etc. At this time, the effective defect expansion signal is compared with the noise signal. However, in the load maintenance phase, the noise signal disappears or drops to a very low level. At this point, if a sensor still collects a strong active AE signal, it is highly likely that there is a damage source in this area. Compared with the traditional mechanical properties of materials, AE characteristic parameters, such as amplitude, ringing count and energy count, can reflect the microscopic damage changes of materials under load in a more detailed way. By summing up the distribution range of AE parameters corresponding to different damage mechanisms and typical signal characteristics, such as the "double peaks" phenomenon in the material yield stage, it can provide a scientific foundation for the application of AET in the metal structure damage of large lifting machinery.

Published in	Engineering and Applied Sciences (Volume 5, Issue 1)
DOI	10.11648/j.eas.20200501.12
Page(s)	9-14
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Crane, Acoustic Emission (AE), Testing

References

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[4]	Herrera A Y, Calero J M, Porras-Montenegro N. Pressure, temperature, and thickness dependence of transmittance in a 1D superconductor-semiconductor photonic crystal [J]. Journal of Applied Physics, 2018, 123 (3): 033101.
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[7]	Yao Y, Fine M E, Keer L M. An energy approach to predict fatigue crack propagation in metals and alloys [J]. International Journal of Fracture, 2016, 146 (3): 149-158.
[8]	Ferreira S E, Castro J T P D, Meggiolaro M A. Using the strip-yield mechanics to model fatigue crack growth by damage accumulation ahead of the crack tip [J]. International Journal of Fatigue, 2017, 103: 557-575.
[9]	Brunner, Andreas J. Identification of damage mechanisms in fiber-reinforced polymer-matrix composites with Acoustic Emission and the challenge of assessing structural integrity and service-life [J]. Construction and Building Materials, 2018, 173: 629-637.
[10]	Castelluccio G M, Mcdowell D L. Microstructure-sensitive small fatigue crack growth assessment: Effect of strain ratio, multiaxial strain state, and geometric discontinuities [J]. International Journal of Fatigue, 2016, 82: 521-529.
[11]	Jiang Y, Xu F, Xu B. Acoustic Emission tomography based on simultaneous algebraic reconstruction technique to visualize the damage source location in Q235B steel plate [J]. Mechanical Systems and Signal Processing, 2015, 64-65: 452-464.
[12]	Zheng XL. Mechanical behavior of engineering materials [M]. Xi'an: northwestern polytechnical university press, 2004.
[13]	Li MY, Shang ZD, et al. Acoustic emission detection and signal processing [M]. Beijing: Science press, 2010.
[14]	Zhang YH, Zhang WB, Zhang YB, et al. Acoustic emission characteristics of Q235B steel plate during tensile damage test [J]. Journal of vibration and shock, 2015, 34 (15): 156-161.
[15]	Wu ZW, Shen GT, et al. The status of acoustic emission technology in crane nondestructive testing [J]. Hoisting and conveying machinery, 2007 (10): 4.

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APA Style

Zhang Yanbing, Yang Li. (2020). The Acoustic Emission Testing Technology on Large Crane Structure Damage. Engineering and Applied Sciences, 5(1), 9-14. https://doi.org/10.11648/j.eas.20200501.12

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ACS Style

Zhang Yanbing; Yang Li. The Acoustic Emission Testing Technology on Large Crane Structure Damage. Eng. Appl. Sci. 2020, 5(1), 9-14. doi: 10.11648/j.eas.20200501.12

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AMA Style

Zhang Yanbing, Yang Li. The Acoustic Emission Testing Technology on Large Crane Structure Damage. Eng Appl Sci. 2020;5(1):9-14. doi: 10.11648/j.eas.20200501.12

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@article{10.11648/j.eas.20200501.12,
  author = {Zhang Yanbing and Yang Li},
  title = {The Acoustic Emission Testing Technology on Large Crane Structure Damage},
  journal = {Engineering and Applied Sciences},
  volume = {5},
  number = {1},
  pages = {9-14},
  doi = {10.11648/j.eas.20200501.12},
  url = {https://doi.org/10.11648/j.eas.20200501.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eas.20200501.12},
  abstract = {The Acoustic Emission testing application on Crane steel structure is greatly limited, because of the factors such as the random transmission path of sound wave, the influence of dynamic load noise and the discontinuity of structure. In this paper, the feasibility of Acoustic Emission detection for crane structure damage is discussed from two aspects: mechanism test and field detection. Based on the analysis of the whole test process, when lifting heavy objects and braking, the metal structure is subjected to the instantaneous gravity load of tens of tons, so that a large number of AE signals are collected by various monitoring sensors. It mainly includes active defect damage, mechanical vibration, structural friction and electrical noise, etc. At this time, the effective defect expansion signal is compared with the noise signal. However, in the load maintenance phase, the noise signal disappears or drops to a very low level. At this point, if a sensor still collects a strong active AE signal, it is highly likely that there is a damage source in this area. Compared with the traditional mechanical properties of materials, AE characteristic parameters, such as amplitude, ringing count and energy count, can reflect the microscopic damage changes of materials under load in a more detailed way. By summing up the distribution range of AE parameters corresponding to different damage mechanisms and typical signal characteristics, such as the "double peaks" phenomenon in the material yield stage, it can provide a scientific foundation for the application of AET in the metal structure damage of large lifting machinery.},
 year = {2020}
}

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TY  - JOUR
T1  - The Acoustic Emission Testing Technology on Large Crane Structure Damage
AU  - Zhang Yanbing
AU  - Yang Li
Y1  - 2020/02/13
PY  - 2020
N1  - https://doi.org/10.11648/j.eas.20200501.12
DO  - 10.11648/j.eas.20200501.12
T2  - Engineering and Applied Sciences
JF  - Engineering and Applied Sciences
JO  - Engineering and Applied Sciences
SP  - 9
EP  - 14
PB  - Science Publishing Group
SN  - 2575-1468
UR  - https://doi.org/10.11648/j.eas.20200501.12
AB  - The Acoustic Emission testing application on Crane steel structure is greatly limited, because of the factors such as the random transmission path of sound wave, the influence of dynamic load noise and the discontinuity of structure. In this paper, the feasibility of Acoustic Emission detection for crane structure damage is discussed from two aspects: mechanism test and field detection. Based on the analysis of the whole test process, when lifting heavy objects and braking, the metal structure is subjected to the instantaneous gravity load of tens of tons, so that a large number of AE signals are collected by various monitoring sensors. It mainly includes active defect damage, mechanical vibration, structural friction and electrical noise, etc. At this time, the effective defect expansion signal is compared with the noise signal. However, in the load maintenance phase, the noise signal disappears or drops to a very low level. At this point, if a sensor still collects a strong active AE signal, it is highly likely that there is a damage source in this area. Compared with the traditional mechanical properties of materials, AE characteristic parameters, such as amplitude, ringing count and energy count, can reflect the microscopic damage changes of materials under load in a more detailed way. By summing up the distribution range of AE parameters corresponding to different damage mechanisms and typical signal characteristics, such as the "double peaks" phenomenon in the material yield stage, it can provide a scientific foundation for the application of AET in the metal structure damage of large lifting machinery.
VL  - 5
IS  - 1
ER  -

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Author Information

Zhang Yanbing

Special Equipment Safety Supervision Inspection Institute of Jiangsu Province, Branch of Nantong, Nantong, China
Yang Li

School of Mechanical Engineering, Southeast University, Nanjing, China

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Plain Text BibTeX RIS

APA Style

Zhang Yanbing, Yang Li. (2020). The Acoustic Emission Testing Technology on Large Crane Structure Damage. Engineering and Applied Sciences, 5(1), 9-14. https://doi.org/10.11648/j.eas.20200501.12

Copy | Download

ACS Style

Zhang Yanbing; Yang Li. The Acoustic Emission Testing Technology on Large Crane Structure Damage. Eng. Appl. Sci. 2020, 5(1), 9-14. doi: 10.11648/j.eas.20200501.12

Copy | Download

AMA Style

Zhang Yanbing, Yang Li. The Acoustic Emission Testing Technology on Large Crane Structure Damage. Eng Appl Sci. 2020;5(1):9-14. doi: 10.11648/j.eas.20200501.12

Copy | Download

@article{10.11648/j.eas.20200501.12,
  author = {Zhang Yanbing and Yang Li},
  title = {The Acoustic Emission Testing Technology on Large Crane Structure Damage},
  journal = {Engineering and Applied Sciences},
  volume = {5},
  number = {1},
  pages = {9-14},
  doi = {10.11648/j.eas.20200501.12},
  url = {https://doi.org/10.11648/j.eas.20200501.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eas.20200501.12},
  abstract = {The Acoustic Emission testing application on Crane steel structure is greatly limited, because of the factors such as the random transmission path of sound wave, the influence of dynamic load noise and the discontinuity of structure. In this paper, the feasibility of Acoustic Emission detection for crane structure damage is discussed from two aspects: mechanism test and field detection. Based on the analysis of the whole test process, when lifting heavy objects and braking, the metal structure is subjected to the instantaneous gravity load of tens of tons, so that a large number of AE signals are collected by various monitoring sensors. It mainly includes active defect damage, mechanical vibration, structural friction and electrical noise, etc. At this time, the effective defect expansion signal is compared with the noise signal. However, in the load maintenance phase, the noise signal disappears or drops to a very low level. At this point, if a sensor still collects a strong active AE signal, it is highly likely that there is a damage source in this area. Compared with the traditional mechanical properties of materials, AE characteristic parameters, such as amplitude, ringing count and energy count, can reflect the microscopic damage changes of materials under load in a more detailed way. By summing up the distribution range of AE parameters corresponding to different damage mechanisms and typical signal characteristics, such as the "double peaks" phenomenon in the material yield stage, it can provide a scientific foundation for the application of AET in the metal structure damage of large lifting machinery.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - The Acoustic Emission Testing Technology on Large Crane Structure Damage
AU  - Zhang Yanbing
AU  - Yang Li
Y1  - 2020/02/13
PY  - 2020
N1  - https://doi.org/10.11648/j.eas.20200501.12
DO  - 10.11648/j.eas.20200501.12
T2  - Engineering and Applied Sciences
JF  - Engineering and Applied Sciences
JO  - Engineering and Applied Sciences
SP  - 9
EP  - 14
PB  - Science Publishing Group
SN  - 2575-1468
UR  - https://doi.org/10.11648/j.eas.20200501.12
AB  - The Acoustic Emission testing application on Crane steel structure is greatly limited, because of the factors such as the random transmission path of sound wave, the influence of dynamic load noise and the discontinuity of structure. In this paper, the feasibility of Acoustic Emission detection for crane structure damage is discussed from two aspects: mechanism test and field detection. Based on the analysis of the whole test process, when lifting heavy objects and braking, the metal structure is subjected to the instantaneous gravity load of tens of tons, so that a large number of AE signals are collected by various monitoring sensors. It mainly includes active defect damage, mechanical vibration, structural friction and electrical noise, etc. At this time, the effective defect expansion signal is compared with the noise signal. However, in the load maintenance phase, the noise signal disappears or drops to a very low level. At this point, if a sensor still collects a strong active AE signal, it is highly likely that there is a damage source in this area. Compared with the traditional mechanical properties of materials, AE characteristic parameters, such as amplitude, ringing count and energy count, can reflect the microscopic damage changes of materials under load in a more detailed way. By summing up the distribution range of AE parameters corresponding to different damage mechanisms and typical signal characteristics, such as the "double peaks" phenomenon in the material yield stage, it can provide a scientific foundation for the application of AET in the metal structure damage of large lifting machinery.
VL  - 5
IS  - 1
ER  -

Copy | Download