Reproducing Failure Mode and Life Prediction of Expansion Joint Using Field Data
International Journal of Mechanical Engineering and Applications
Volume 6, Issue 1, February 2018, Pages: 13-17
Received: Apr. 26, 2018; Published: Apr. 27, 2018
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Authors
Jung Soo Oh, Machine & Mensuration Division, Korea Testing Certification, Gun-po city, South Korea
Sueng Hyun Cho, Machine & Mensuration Division, Korea Testing Certification, Gun-po city, South Korea
Sung Jae Won, Machine & Mensuration Division, Korea Testing Certification, Gun-po city, South Korea
Dae Kyung Kang, Machine & Mensuration Division, Korea Testing Certification, Gun-po city, South Korea
Bong Soo Lee, Machine & Mensuration Division, Korea Testing Certification, Gun-po city, South Korea
Joong Sik Heo, Machine & Mensuration Division, Korea Testing Certification, Gun-po city, South Korea
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Abstract
In this study, among plant equipment, valve and piping fitting which is vulnerable to waterhammer was selected for diagnosis. Impulsive vibration by waterhammer was measured and applied to HIL simulator as operation data using HILS method for reproducing failure mode and life prediction of them. For effective measuring vibration, accelerometer was adapted for in the poor surroundings. Measurement results shows max. peak-to-peak vibration displacement was 21.40 mm caused by waterhammer on the valve etc., which could affect structure stability of plant equipment. After that, using the acquired data, the vibration durability of the expansion joint was tested. Meanwhile, in the case of vibration durability, internal pressure in the expansion joint was proposed as main stress factor of durability life, life prediction model was induced by curve fitting along with the datum at each pressure and verified. Thus, a further study will develop mixed life prediction model which will contain another stress factor such as temperature.
Keywords
Expansion Joint, Failure Mode Reproducing, HILS, Life Prediction, Plant Equipment, Waterhammer
To cite this article
Jung Soo Oh, Sueng Hyun Cho, Sung Jae Won, Dae Kyung Kang, Bong Soo Lee, Joong Sik Heo, Reproducing Failure Mode and Life Prediction of Expansion Joint Using Field Data, International Journal of Mechanical Engineering and Applications. Vol. 6, No. 1, 2018, pp. 13-17. doi: 10.11648/j.ijmea.20180601.12
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