A genetic algorithm approach for the assessment of the semisubmersible responses with different mooring arrangements
摘要
The present study aims to assess the role of moorings in the motions of a semi-submersible platform, considering the increasing use of such facilities in deep waters. The inappropriate platform motions can lead to instability in the structure, disrupting its performance. To evaluate the platform motions, a numerical simulation was conducted on the Amir Kabir platform with various mooring configurations as a time-domain non-linear analysis, considering the role of moorings. To this aim, two methods were used: the arrangement of moorings (AM) and the genetic algorithm (GA). The AM method is based on trial and error, and the GA method is based on random selection. The results of the two methods were compared with the Amir Kabir platform and each other. In addition, five optimal mooring configuration models achieved from the GA method were presented. For reliability, the introduced GA models have been simulated in numerical software. The results revealed that the simultaneous use of catenary and taut moorings leads to the optimal behavior in the semi-submersible platform motions.