In recent years, with the large-scale grid connection of wind power, wind power as an important factor to load forecasting should not be overlooked; A least squares-support vector machine (LSSVM) has been improved for the region including wind power, based on the influence from the load caused by the changes of wind and the characteristics between load and wind power. The method uses the models of least squares-support vector machine to classify and build different models , and gets the integration of each model for equivalent load forecasting, which provides the reference for the region including wind power.
The object is dismantling machine shear head with 500kN’s maximum shear force. The three-dimensional models, static analysis, topology optimization were done in the ANSYS Workbench. And the goal driven optimization was done which based on topology optimization. The maximum total deformation, maximum equivalent stress and geometry mass were selected as objective parameters and the distance of two connecting holes, diameter of long hole and length of blade as design variables. At last, the optimized structure was checked. The strength and rigidity meet the requirements and the mass decreased.
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