Optimization Of Aerodynamic Performance Of High-Rise Buildings Based On CFD

At present,super high-rise buildings are getting taller and taller,and bridge spans are getting longer and longer,making structures more and more flexible.In typhoon-affected areas,wind loads tend to become the control load of buildings.Therefore,in order to meet the requirements of building performance,the optimization method of reducing windinduced loads and wind-induced responses by changing the shape of the building can not only ensure the basic safety of the building and the comfort of the user,but also reduce the cost,thereby achieving a good Economic benefits.Building object type optimization is a very effective method to reduce wind load,but previous researches are based on wind tunnel tests.This research method is very dependent on human experience.Due to the high cost of wind tunnel tests,only limited production can be made.This model selects a body shape parameter with the best aerodynamic performance,so the traditional method greatly limits the search range of the body shape space.In order to improve the shortcomings of traditional methods,this paper proposes a new attempt,using CFD simulation and proxy model,to automatically find the optimal solution of the building's shape through algorithms.This method saves resources more than traditional wind tunnel test methods,making the cost even lower.And by introducing the Kriging agent model,an adaptive iterative algorithm is used to update the agent model,and the agent model is trained using the CFD simulation results as a sample set.Automatically updating the agent model through this strategy can greatly reduce the CFD calculation amount and improve the overall Optimize the efficiency of the algorithm.This paper uses this optimization strategy to achieve the purpose of building shape optimization.This paper compares the fitting results of aerodynamic performance parameters of buildings with different agent models.Kriging,decision tree,linear regression,and support vector machines are selected.Through cross-validation,the statistical parameters of different agent models are compared,and Kriging's effect on CFD is found from the analysis of errors.The model has the highest degree of fitting,especially in relationships where the nonlinearity is significantly enhanced,with better fitting performance.An adaptive algorithm was used to calculate the building cross-section model,and the optimal aerodynamic performance of the single-type parameters in the 2D cross-section was obtained.Changes in radian shape parameters have a great impact on aerodynamic performance of buildings.Because the 2D cross section cannot optimize the shape of the building's facade,using a 3D model to study and optimize the shape of the building,it can be found that the curvature of the building has a significant impact on the aerodynamic performance of the building,and the impact of the building rotation on the building is within a certain range It can significantly optimize the aerodynamic performance of the building.When it exceeds a certain angle,the increase of the rotation angle has a limited impact on the aerodynamic performance of the building.The rotation makes the load distribution of the building at different wind angles more even,thereby reducing the maximum value of the wind load of the building at a specific wind angle,thereby reducing the wind load of the building in the cross wind direction.