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Numerical analysis can be useful for the investigation of important aspects of offshore foundation
prototypes that otherwise could hardly be studied experimentally, like the evolution of pore-water pressure around
the monopile foundation of an offshore wind turbine under extreme loading. A combination of mixed pressuredisplacement
formulations along with a constitutive model for sands based on the Generalized Plasticity Theory
can replicate accurately the soil behaviour in saturated conditions. However, additional issues must be taken into
account in order to perform numerical simulations of offshore piles. Some implications of the Babuska-Brezzi
restriction, as well as considerations about the pile-soil interface and suitable solution strategies are discussed
here. Due to the high cost of the transient analysis, the parallel computation offers a promising perspective, but
can be complex and needs to be implemented carefully in order to avoid a performance deterioration. A brief
overview on current trends and functional software is given here.
Wind turbines on offshore sites (OWECs) are subjected to combined loads from wind and waves. These dynamic loads, with a frequency content within the range of the natural frequencies of the structures, cause fatigue-effective stresses in the substructures of wind turbines. Therefore, the examination of natural frequencies is an important part within the design process of wind turbines. The quality of the numerical models for such calculations is of great importance, since the certification guidelines permit only small uncertainties in modal analysis results. The accuracy of the parameters of the numerical model can only be achieved through a comparison of simulation results with corresponding test results. Therefore, it is necessary to measure the dynamic behaviour of all components of the wind turbines simultaneously. This is true not only for the design verification, but also for monitoring the OWECs in operation. The potential of integrated systems for monitoring-based maintenance optimisation should thus be used.