DOI QR코드

DOI QR Code

Stochastic Remaining Fatigue Life Assessment Considering Crack Inspection Results

균열 검사 결과를 고려한 선체 잔류 피로 수명의 확률론적 예측

  • Received : 2019.06.18
  • Accepted : 2019.10.07
  • Published : 2020.02.20

Abstract

In general, an inspection schedule is established based on the long-term fatigue life during the design stage. However, in the design stage, it is difficult to clearly identify the uncertainty factors affecting long-term fatigue life. In this study, the probabilistic fatigue life assessment was conducted in accordance with the methodology of DNV-GL. Firstly, The initial crack distribution estimated through the initial crack propagation analysis was updated by reflecting the results of crack inspection. Secondly, the updated crack distribution was compared with the initial crack distribution, and the probability of failure was updated with the effect of crack inspection.

Keywords

References

  1. Bokalrud, T. & Karlsen, A., 1981. Probabilistic fracture mechanics evaluation of fatigue failure from weld defects in butt weld joints. Conference on Fitness for Purpose Validation of Welded Constructions, London, UK, November 1981.
  2. British Standard Institution (BSI), 2013. Guide to Methods for Assessing the Acceptability of Flaws in Metallic Structures, BS7910.
  3. Deco, A. & Frangopol, D.M., 2015. Real-time risk of ship structures integrating structural health monitoring data: application to multi-objective optimal ship routing. Ocean Engineering, 96, pp.312-329. https://doi.org/10.1016/j.oceaneng.2014.12.020
  4. DNV-GL Recommended Practice, 2015. Probabilistic Methods for Planning of Inspection for Fatigue Cracks in Offshore Structures, DNV_GL-RP-C210.
  5. Doshi, K., Roy, T. & Parihar, Y. S., 2017. Reliability based inspection planning using fracture mechanics based fatigue evaluations for ship structural details. Marine Structures, 54, pp.1-22. https://doi.org/10.1016/j.marstruc.2017.03.003
  6. Fricke, W., 2003. Fatigue analysis of welded joints: state of development. Marine Structures, 16(3), pp.185-200. https://doi.org/10.1016/S0951-8339(02)00075-8
  7. Kang, B.J., Kim, Y., Ryu, C.H., Ki, H.G., Park, S.G. & Oh, Y.T., 2015. Flaw assessment on an offshore structure using engineering criticality analysis. Journal of the Society of Naval Architects of Korea, 52(6), pp.435-443. https://doi.org/10.3744/SNAK.2015.52.6.435
  8. Madsen, H.O., Krenk, S. & Lind, N. C., 1986. Methods of structural safety, Prentice Hall: New Jersey.
  9. Rizzo, C.M. & Ayala-Uraga, E., 2006. Fatigue crack growth assessment of welded joints in ships structures: A reliability-based sensitivity study, 25th International Conference on Offshore Mechanics and Arctic Engineering, Hamburg, Germany, 4-9 June 2006.
  10. Straub, D. & Faber. M.H., 2005. Risk based inspection planning for structural systems. Structural Safety, 27(4), pp.335-355. https://doi.org/10.1016/j.strusafe.2005.04.001
  11. Yan, X., Huang, X., Huang, Y. & Cui, W., 2016. Prediction of fatigue crack growth in a ship detail under wave-induced loading. Ocean Engineering, 113, pp.246-254. https://doi.org/10.1016/j.oceaneng.2015.10.056
  12. Zhu, B. & Frangopol, D. M., 2013. Reliability assessment of ship structures using Bayesian updating. Engineering Structures, 56, pp.1836-1847. https://doi.org/10.1016/j.engstruct.2013.07.024