A Computational Technique for Low-Cycle Fatigue of LNG Mixing-Tee Weldment – An Industry Case Study

Authors

  • Abdul Matin Al-Barr Malek Mechanical Department, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
  • Abdul Rahim Othman Mechanical Department, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
  • Muhammad Firdaus Othman Group Technical Solution, Level 15, Tower 3, KLCC, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.37934/arfmts.104.2.103114

Keywords:

Computational analysis, mixing-tee, liquefied natural gas, fatigue life cycle, thermal stress

Abstract

This research describes a computational method for low-cycle fatigue cracks in LNG mixing-tee weldments. Using a combination of thorough finite element modelling and fatigue life prediction with the finite element software ABAQUS and FE-Safe, the approach is able to simulate the thermal stresses and fatigue damage of a mixing-tee subjected to thermal cycle. The approach consists of three primary phases. First, the thermal distribution at the mixing-tee junction caused by the mixing temperature of the liquefied natural gas (LNG) is predicted. These first-step solutions are then included into second-step modelling, which simulates the thermal stress of the mixing-tee. The next phase entails modelling the fatigue behaviour of the mixing-tee using the thermal stress data. The computed fatigue life cycle achieves a 92.8% accuracy level when compared to real on-site observations. The suggested method enables the accurate prediction of thermal and fatigue behaviours within a tolerable computational time.

Author Biographies

Abdul Matin Al-Barr Malek, Mechanical Department, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia

abdul_19000962@utp.edu.my

Abdul Rahim Othman, Mechanical Department, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia

rahim.othman@utp.edu.my

Muhammad Firdaus Othman, Group Technical Solution, Level 15, Tower 3, KLCC, Kuala Lumpur, Malaysia

mfirdaus.othman@petronas.com

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Published

2023-05-11

How to Cite

Malek, A. M. A.-B., Othman, A. R. ., & Othman, M. F. (2023). A Computational Technique for Low-Cycle Fatigue of LNG Mixing-Tee Weldment – An Industry Case Study. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 104(2), 103–114. https://doi.org/10.37934/arfmts.104.2.103114

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Articles