Offshore structures are exposed to random wave loading in the ocean environment
and hence the probability distribution of the extreme values of their response to wave loading is
required for their safe and economical design. Due to nonlinearity of the drag component of
Morison’s wave loading and also due to intermittency of wave loading on members in the
splash zone, the response is often non-Gaussian [1-2]; therefore, simple techniques for
derivation of the probability distribution of extreme responses are not available. However, it has
recently been shown that the short-term response of an offshore structure exposed to
Morison wave loading can be approximated by the response of an equivalent finite-memory nonlinear
system (FMNS) [3]. Previous investigation shows that the developed FMNS models reduce the
computational effort but the predictions are not very good for low intensity sea states.
Therefore, to overcome this deficiency, a modified version of FMNS models is referred to as MFMNS
models is used to determine the extreme response values which improves the accuracy but is
computationally less efficient than FMNS models. In this paper, the 100-year responses derived from
the long-term probability distribution of the extreme responses from MFMNS and FMNS models are
compared with corresponding distributions from the CTS method is investigated with the
effect of current to establish their level of accuracy. The methodology for derivation
of the long-term distribution of extreme responses (and the evaluation of 100-year
responses) is discussed. The accuracy of the predictions of the 100-
year responses from MFMNS and FMNS models will then be investigated
