Probabilistic dynamic optimization design to support structure of offshore wind turbines
LU Qi-jin，YANG He-zhen
State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract：Probabilistic dynamic optimization design to the tripod supporting structure of offshore wind turbines is studied. Compared with onshore wind turbines, the cost of supporting structure is high and consider repair and installation costs which induced by dynamic environmental loads, the reliability of offshore wind turbines must be taken into account. The method of probabilistic dynamic optimization design is adopted to reduce costs and fully consider security issues due to uncertainties. First, basing on the simulation of dynamic environmental loads, the global dynamic responses of offshore wind turbine are given and therefore probabilistic constraints are identified. Then, design variables are simplified through the Design of Experiment (DOE) and relationships between variables and responses are constructed by approximation models. Last, global optimization algorithms are executed on approximation models for probabilistic dynamic optimization design to the tripod supporting structure. Optimized results not only satisfy strength and stiffness requirements but also meet a lower cost and a better reliability then before. The example showed that the proposed probabilistic dynamic optimization to offshore wind turbine support structure is feasible.
2013, Vol. 32 
