Efficient derivation of extreme offshore structural response exposed to random wave loads

ABSTRACT

The reliability of offshore structure is dominantly affected by the wind-generated random waves load. Hence, an appropriate technique is required in predicting the extreme response due to the dominant load. Monte Carlo (MC) time simulation is said to be the most accurate technique. However, such analysis leads to a large number of response records which is computationally demanding. Current finding shows that a modified finite-memory nonlinear system offered more efficient technique. Still, the accuracy is getting severe once negative current is considered. Hence, improved version of MFMNS technique is required by modelling the residue between the extreme values from MC and the approximate MFMNS techniques; known as the eMFMNS technique. In advanced, a comprehensive study on eMFMNS technique will be carried out involving a wide range of environmental conditions. From the investigation, it is proven that eMFMNS technique improved the accuracy in predicting extreme values compare to MFMNS technique.

KEYWORDS:

• Offshore structure
• extreme values
• identification technique
• finite-memory
• random wave

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by Universiti Teknologi Malaysia [grant number Q.K130000.2540.17H99], [grant number Q.K130000.2540.18H09], [grant number R.K130000.7740.4J312].