SLEPIAN MODELS FOR WAVES AND WAVE-STRUCTURE INTERACTION

A regressive form of Slepian modelling was used to develop predictive models for the key variables associated with three quite different exp erimental data sets, The first data set provided a time series record of the surface elevation for a moderate random seaway. The second data set provided measurements of the wave elevation at the front of a fin ite draft deep water platform. This data set was significantly more no nlinear since the local wave field was amplified by the presence of th e platform. The final data set dealt with the rate of wave run-up and this involved the derivative of the second data set. The results consi stently illustrated the need to have an adequate number of events to u se as the basis for the regression model. The study presents guideline s for selecting the initial crossing level which is crucial to the Sle pian model development, Once the regression model has been established the model allows one to make predictions for other values of level cr ossing, It was found that the accuracy of those predictions depends on the accuracy of the initial regression process and that reasonable es timates can be obtained,