Volume 39 Issue 6
Dec.  2021
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ZHU Mingchang, HUANG Liwen, XIE Cheng, SHI Feng, TAO Kejian. A Safety Analysis of LNG Ship-to-ship Transfer System Based on a STAMP/STPA Model[J]. Journal of Transport Information and Safety, 2021, 39(6): 44-53. doi: 10.3963/j.jssn.1674-4861.2021.06.006
Citation: ZHU Mingchang, HUANG Liwen, XIE Cheng, SHI Feng, TAO Kejian. A Safety Analysis of LNG Ship-to-ship Transfer System Based on a STAMP/STPA Model[J]. Journal of Transport Information and Safety, 2021, 39(6): 44-53. doi: 10.3963/j.jssn.1674-4861.2021.06.006

A Safety Analysis of LNG Ship-to-ship Transfer System Based on a STAMP/STPA Model

doi: 10.3963/j.jssn.1674-4861.2021.06.006
  • Received Date: 2021-08-06
    Available Online: 2022-01-12
  • Given the high risk and complexity of LNG ship-to-ship transfer operations, the safety problem of abnormal interaction of complex system components during operation is studied. A system-theoretic accident model and process(STAMP)control association model of the LNG ship-to-ship transfer system is constructed based on system theory and control theory splitting the ship-to-ship transfer system into multiple hierarchical structures to form constrained control and feedback. The system theoretic process analysis(STPA)method is adopted to identify system-level accidents, system-level hazards, and potential unsafe control behaviors in transfer operations. A causal scenario analysis model considering manual controllers is developed, and 22 causal factors in this system are proposed from system control defect, feedback defect, and coordination defect. The results show many potential causes in the LNG transfer system. Sensor system failure, control valve failure, and operator human factors are important causes of multiple system-level hazards, and safety control measures are proposed from the causal factors.This method is applied to the dynamic operation of ship transfer with a large number of interactions among people, software, and equipment, considering the non-faulty components in the system and overcoming the limitation of focusing on the failure of key components and excluding the dynamic behavior of the system.

     

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