Efficient methods for the prediction of non-gaussian stochastic response of offshore structure
For offshore structural design, the load due to wind-generated random waves is usually the most important source of loading. A nonlinear wave analysis is recommended to represent a realistic ocean wave for an accurate prediction of extreme offshore structural response. However, the contribution of n...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/89648/ https://dx.doi.org/10.1201/9780429298875-11 |
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| Summary: | For offshore structural design, the load due to wind-generated random waves is usually the most important source of loading. A nonlinear wave analysis is recommended to represent a realistic ocean wave for an accurate prediction of extreme offshore structural response. However, the contribution of nonlinearity leads to a complex solution. A probabilistic analysis based on the Monte Carlo time simulation will be carried out due to its high level of accuracy. Unfortunately, the method is very time consuming. Hence, a new model need to be develop to improve its efficiency based on finite-memory nonlinear system. Details on the development of the model will be discussed and results from both methods will be compared. The most appropriate model can then be used with excellent efficiency and accuracy to determine the extreme offshore structural response. With that, the structure is towards optimization and lead to cost reduction. |
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