Functional data analysis for assessing the fatigue life of construction equipment attachments

Abstract

In construction machinery, attachments, such as buckets and breakers, that are mounted on the equipment convert the fluid energy of the construction machine into impact energy, vibration energy, etc., depending on the purpose. To ensure the reliability of such attachments under repeated or excessive stress, the fatigue life of the structure must be evaluated in terms of strength and rigidity. The present study focused on symmetric structures. A functional analysis was performed on the field data obtained from the construction machine with an attached vibration hammer, and the fatigue life of the symmetric bracket was assessed. The results were used to develop an accelerated fatigue-life test algorithm for the prediction and health management. Residual-useful-life prognostics of basic data in the prediction of life and failure of attachments used in construction machinery as well as the integrity management of their symmetric structures.

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Abbreviations

FDAAFLT:

Functional data-analysis accelerated fatigue life-test

FPCA:

Functional principal component analysis

IPL:

Inverse power law

MTTF:

Mean time to failure

AF:

Acceleration factor

AD:

Anderson-Darling

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Acknowledgments

This work was financially supported by Development of core machinery technologies for Development of Industrial Off-road Working System Technologies Supporting Autonomous Operations (No. NK224H) funded by the Major Institutional Project of Korea Institute of Machinery and Materials (KIMM) and Material and Component Fusion Alliance (No. N0002588) of the Ministry of Trade, Industry and Energy, Korea. And this work was funded by the (MOTIE, Korea) and Korea Institute for Advancement of Technology (KIAT).

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Correspondence to Jae-Hoon Kim.

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Sung-Hyun Kim received his Master’s degree in Mechanical Engineering from Chung Nam National University in 2015 and is currently pursuing a Doctorate in Mechanical Engineering from Chung Nam National University. He has been working as a Senior Researcher at the Korea Institute of Machinery and Materials (KIMM) since October 2004. His fields of interest include construction-machinery-attachment reliability assessment, unmanned-aerial-vehicle reliability assessment, and fatigue-life prediction and failure analysis.

Jong-Won Park received his Master’s degree in Mechanical Engineering from Hongik University in 1998 and Doctorate in Mechanical Engineering from Seoul National University in 2003. From August 2004 to May 2017, he was a Principal Researcher at KIMM. He is currently working as the Reliability Assessment Laboratory director in KIMM. His fields of interest include mechanical-system reliability analysis and prediction, hydraulic/mechatronic-system analysis and control, accelerated fatigue-life-test technique, status monitoring, and failure prediction.

Jae-Hoon Kim received his Bachelor’s degree in Precision Mechanical Engineering from Chung Nam National University, Korea, in 1980. He received his Master’s degree and Ph.D. in Mechanical Engineering from Chung Nam National University in 1982 and 1989, respectively. He is currently a Professor at Chung Nam National University. His research interests include fracture mechanics, fatigue behavior, and composite materials.

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Kim, SH., Park, JW. & Kim, JH. Functional data analysis for assessing the fatigue life of construction equipment attachments. J Mech Sci Technol 35, 495–506 (2021). https://doi.org/10.1007/s12206-021-0108-0

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Keywords

  • Accelerated fatigue-life test
  • Construction equipment attachment
  • Functional data analysis
  • Principal component analysis