Abstract

Wind load is commonly regarded as the dominant lateral load in designing tall buildings. Thus, it is of necessity to investigate the parameters affecting wind-induced loads. One of these parameters is the exterior shape of tall building, which using its aerodynamic shape modifications, wind loads, can be decreased. In this research, the exterior shape of different tall buildings with trilateral cross-section is constructed via the polynomial parameterization method. The advantage of the proposed method in producing the building geometry is that it is able to apply all aerodynamic modifications to triangular buildings. Then, the effect of each geometrical parameter on the moment coefficient along the drag is investigated as the aerodynamic response of tall buildings. Using geometric parameters screening, it was found that two geometrical parameters (T, b1) have the maximum impact on the aerodynamic response of the tall buildings which apply twist and curved sides modifications, respectively. Then, using the polynomial regression method, explicit relation of the mean moment coefficient in terms of these two geometrical parameters is illustrated using a third-order polynomial, which can be used as a surrogate model to evaluate the moment coefficient instead of computational fluid dynamic analysis. The surrogate model can significantly reduce the computational cost, and operate as an appropriate guide for building designers to investigate the effect of building geometrical variables on aerodynamic performance. Finally, the minimum point of the proposed model is determined as the optimal shape of the tall building. In addition, a comparative analysis of the aerodynamic responses of the optimal model with the basic triangle model shows that the moment coefficient is reduced by 56%. This demonstrates the considerable effect of these two geometrical parameters in improving the aerodynamic performance.

Highlights

  • The wind-induced load is customarily considered as the dominant lateral load in the design of some cases of civil structures, including suspension bridges and tall buildings

  • The references [1, 2] examine how bridge deck cross-section modification affect the aerodynamic performance of the bridge, and the results corroborate that modification of suspension bridge deck cross-section can significantly improve aerodynamic performance and aerodynamic stability

  • A surrogate model is presented in the current article to approximate the mean moment coefficient along the drag for tall buildings with trilateral cross-sections based on the polynomial regression method

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Summary

Introduction

The wind-induced load is customarily considered as the dominant lateral load in the design of some cases of civil structures, including suspension bridges and tall buildings. Kareem et al [25] offered a method to optimize the corner shape of tall buildings to reduce drag and lift coefficients via 2D CFD models. This method is highly effective in overcoming the computational cost related to the iteration method needed for optimization. A surrogate model is presented in the current article to approximate the mean moment coefficient along the drag for tall buildings with trilateral cross-sections based on the polynomial regression method. The proposed approximation function of the moment coefficient using the polynomial regression method has good accuracy and it can be used instead of CFD analysis to examine the aerodynamic performance of the tall buildings with trilateral cross-sections. In the construction of this proposed surrogate model, the effect of building height changes is not considered, and this model can be used for tall buildings with specified heights and boundary conditions

Geometry description
Vertical profile
Horizontal profile
CFD analysis
Inflow boundary conditions
Mesh generation
Surrogate model
Construction of surrogate model based on polynomial regression method
Surrogate model testing
Numerical investigation
Validation
Regression model
Analytical optimization
Conclusion
Findings
Compliance with ethical standards
Full Text
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