Application of FIS Methodology to Risk Failure Estimation of LNG Transfer Loading Arms in Side-by-Side Configuration

作者：Stavrou Dimitrios I^*; Ventikos Nikolaos P; Mavrakos Spyros A

来源：International Journal of Offshore and Polar Engineering, 2017, 27(3): 266-273.

DOI：10.17736/ijope.2017.mk52

• Fuzzy inference system
• transshipment
• loading arm

This paper presents a fuzzy inference system (FIS) methodology for a real-time dynamic monitoring of loading arm reactions during liquefied natural gas (LNG) side-by-side offloading operations, which may provide a practical approach to reducing the risk of loading arm failure during these operations. The methodology integrates environmental conditions in calculating the loading arm's risk of failure during these operations. Experimental data retrieved by the coupled motion response analysis of two LNG carriers were used for the tuning of the model's parameters. The outcome is a risk failure indicator that helps operators to decide whether to continue or suspend the operation.

• 出版日期2017-9