TIME-DOMAIN SIMULATION OF JACK-UP DYNAMICS WITH THE EXTREMES OF A GAUSSIAN PROCESS

Random simulations are often used to simulate the statistics of storm- driven waves. Work on Gaussian linear random signals has lead to a met hod for embedding a large wave into a random sequence in such a way th at the composite signal is virtually indistinguishable (in a rigorous statistical limit) from a purely random occurrence of a large wave. We demonstrate that this idea can be used to estimate the extreme respon se of a jack-up in a severe sea-state in a robust and efficient manner . Results are in good agreement with those obtained from a full random time-domain simulation.