Crack identification based on natural frequency of cracked small pipes
- DOI
- 10.2991/icmia-17.2017.6How to use a DOI?
- Keywords
- Small branch pipe; Natural frequency; Vibration; crack; Nuclear power plant
- Abstract
The severe vibration of small branch pipes in nuclear power plants can induce fatigue destruction. Sometime fatigue destructions will result in unplanned shutdown, and even threaten the safe and stable operation of the nuclear power plant. In order to predict the remaining life and guarantee the safety of small branch pipes in succeed service, the damage identification basing on vibration frequency is studied in the present research. Cracked small pipes are modeled using the finite element software ABAQUS to analyze their vibration characteristics. The first four natural frequencies of pipes with different diameters and the same crack size are simulated and the rates of change of the natural frequencies (Shorten for FCRs) are compared. It is found that the smaller the diameter is, the more sensitive the crack is to FCRs. Then, the FCRs of the first four natural frequencies of the same pipe with different cracks are compared. The FCRs increase with the propagation of cracks. However, the curves of FCRs vibrate perpendicular to the pipe and vibration amplitudes vary with position along pipes. Therefore, it can identify crack growth, but can't locate the position of the crack by natural frequencies of small pipes. The analysis results can provide necessary theoretical basis for the identification of crack propagation in small pipes.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jiuhong Jia AU - Xiaoyu Zheng AU - Zhongqiang Zhang PY - 2017/06 DA - 2017/06 TI - Crack identification based on natural frequency of cracked small pipes BT - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017) PB - Atlantis Press SP - 27 EP - 30 SN - 1951-6851 UR - https://doi.org/10.2991/icmia-17.2017.6 DO - 10.2991/icmia-17.2017.6 ID - Jia2017/06 ER -