Shuyi Sun1, Yuzhong Yang2
1College of Business Administration, Henan Polytechnic University, Jiaozuo 454002, Henan, China
2School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454002, Henan, China
In view of the complex structure and the different damage situations of the cabin, the Markov state transition model was established considering the crack propagation at the damaged sites. The state transition probability matrix of related crack propagation was constructed using the equation of linear elastic facture mechanics to simulate the deterioration process of the main structural parts during navigation. Secondly, the maintenance matrix was added to the state transition model, and the distribution probability of the system state was predicted by the periodicity of Markov chain, formulating a reasonable maintenance strategy. Finally, the practicability of the preventive maintenance strategy was verified taking the marine oil FPSO 116 as the example. The maintenance plan formulated according to the calculation results could reduce the damage of the hull theoretically, preventing the occurrence of unexpected deterioration states, prolonging the service life of the hull, and providing a strategic reference for the formulation of the maintenance plans of the hull.
Markov Chain, Preventive Maintenance, Crack Propagation, Marine Oil FPSO116
Shuyi Sun, Yuzhong Yang. Study on the preventive maintenance of the cabin structure based on the markov chain. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 6: 82-93. https://doi.org/10.25236/IJFET.2022.040613.
 Kim J K, Shim D S. A Probabilistic Analysis on Variability of Fatigue Crack Growth Using the Markov Chain. KSME International Journal, 1998, 12(6): 1135-1142.
 Zhao JP, Huang WL, Zhu W. Estimation of Fatigue Life of Welded Head Under Non-Constant Amplitude Load Containing Surface Cracks. Journal of Nanjing University of Chemical Technology, 1996(02):64-70.
 Shi S.H., Xu Z.S., Kang J. Study of Fatigue Crack Expansion Rate Equation Based on Fracture Mechanics. Mechanical Design and Manufacture, 2007(10):11-12.
 Huang S. P., Jia G. L., Qi E. R. et al. Single Expansion Rate Curve Model for Fatigue Crack Expansion Prediction Of Marine Steel Structures. Ship Mechanics, 2011, 15(Z1):118-125.
 Soliman M, Frangopol D M, Mondoro A. A Probabilistic Approach for Optimizing Inspection, Monitoring, and Maintenance Actions against Fatigue of Critical Ship Details. Structural Safety, 2016, 60: 91-101.
 Gu Hao-Yang, Wang Ke, Yin Qun. Study on the Prediction Method of Fatigue Small Crack Expansion Behavior of Titanium Alloy. Ship Science and Technology, 2017, 39(004):45-48.
 Ruan H-B, Huang S-P. Fatigue Extension Life Calculation of Surface Cracks at the Longitudinal Bone Ends of LNG vessels. Ship and Marine Engineering, 2020, 36(02):18-25, 31.
 Zhang Hao Yue, Guan Zhong Xin. A Probabilistic Model for Fatigue Short Crack Expansion. Journal of Northwestern University (Natural Science Edition), 1994, 24(05):387-391.
 Nguyen-Le D H, Tao Q B, Nguyen V H, et al. A data-Driven Approach Based on Long Short-Term Memory and Hidden Markov Model for Crack Propagation Prediction. Engineering Fracture Mechanics, 2020, 235: 1-15.
 Dong Y, Frangopol D M. Risk-informed Life-Cycle Optimum Inspection and Maintenance of Ship Structures Considering Corrosion and Fatigue. Ocean Engineering, 2015, 101: 161-171.
 Gong C, Frangopol D M, Cheng M. Risk-based life-cycle optimal dry-docking inspection of corroding ship hull tankers. Engineering Structures, 2019, 195: 559-567.
 Garbatov Y, Sisci F, Ventura M. Risk-Based Framework for Ship and Structural Design Accounting for Maintenance Planning. Ocean Engineering, 2018, 166:12-25.
 Wang H, Oguz E, Jeong B, et al. Life Cycle Cost and Environmental Impact Analysis of Ship Hull Maintenance Strategies for A Short Route Hybrid Ferry. Ocean engineering, 2018, 161: 20-28.
 Duan C, Li Z, Liu F. Condition-Based Maintenance for Ship Pumps Subject to Competing Risks Under Stochastic Maintenance Quality. Ocean Engineering, 2020, 218: 1-9.
 Cullum J, Binns J, Lonsdale M, et al. Risk-Based Maintenance Scheduling with Application to Naval Vessels and Ships. Ocean Engineering, 2018, 148: 476-485.
 Verma S K, Bhadauria S S, Akhtar S. Probabilistic evaluation of service life for reinforced concrete structures. Chinese Journal of Engineering, 2014, 2014: 1-8.
 Wang E, Shen Z. Lifecycle Energy Consumption Prediction of Residential Buildings by Incorporating Longitudinal Uncertainties. Journal of Civil Engineering and Management, 2013, 19(01): 161-171.
 Carnero M C, Gómez A. Maintenance strategy selection in electric power distribution systems. Energy, 2017, 129: 255-272.
 González-Domínguez J, Sánchez-Barroso G, García-Sanz-Calcedo J. Scheduling of Preventive Maintenance in Healthcare Buildings Using Markov Chain. Applied Sciences, 2020, 10(15): 52-63.
 Luo F.Z., Zhang T.Y., Wang C.S. Research on the Optimization Method of Condition Maintenance Strategy for Power Distribution Equipment Based On Multi-State Markov Chain. Chinese Journal of Electrical Engineering, 2020, 40(09):2777-2787.
 Guo J, Hang D, Zhu X. Prediction of Crack Propagation in U-Rib Components Based on the Markov Chain. Journal of Bridge Engineering, 2020, 25(10): 1-9.
 Zhang Ding. Research on the Safety Life Assessment Method of Marine Structures Based on Crack Expansion. Shanghai Jiaotong University, 2012.
 Kandemir C, Celik M, Akyuz E, et al. Application of Human Reliability Analysis to Repair & Maintenance Operations On-Board Ships: The Case of HFO Purifier Overhauling. Applied Ocean Research, 2019, 88: 317-325.
 Di Liu. Thickness Measurement Report of HYSY 116. Shen Zhen: Firstrank Industrial Development CO,2020.