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Surrogate-based aerodynamic optimization for enhancing the shelter effect of porous fences on a triangular prism
Abstract To further improve the shelter effect of porous fences on the wind erosion of a triangular prism pile of coal, an aerodynamic optimization procedure has been developed, by coupling computational fluid dynamics (CFD) solver, kriging model and genetic algorithm. Two-dimensional Reynolds- Averaged Navier-Stokes equations with the RNG k-ε turbulence model were used for numerical simulation of the shelter behaviour. The single and multi-objectives were minimizing the sum of absolute mean pressure coefficients on the surface of the prism, and/or the total peak velocity ratio values around the prism. Two case studies focusing on the optimization design of a single front fence and dual fences were presented, in order to determine the optimal fence parameters (height and porosity). The weighted-sum method was utilized to solve multi-objective problems, which finds the Pareto-optimal front one by one by changing the objective weighting coefficients. The results showed that the optimal design of porous fence provided a remarkable shelter performance improvement compared with the near optimal design. It was also found that the weighting coefficient had a significant influence on the optimal results, and a good trade-off between the two conflicting objective functions has been achieved by selecting suitable fence parameters.
Highlights Single and multi-objective aerodynamic optimization of porous fences are performed. Optimal solution is obtained by the kriging model and genetic algorithm. RANS simulations are carried out to model the flow around porous fence and prism. The potential of the proposed optimization method is illustrated on two examples. The optimal fence exhibits a reasonable shelter performance improvement.
Surrogate-based aerodynamic optimization for enhancing the shelter effect of porous fences on a triangular prism
Abstract To further improve the shelter effect of porous fences on the wind erosion of a triangular prism pile of coal, an aerodynamic optimization procedure has been developed, by coupling computational fluid dynamics (CFD) solver, kriging model and genetic algorithm. Two-dimensional Reynolds- Averaged Navier-Stokes equations with the RNG k-ε turbulence model were used for numerical simulation of the shelter behaviour. The single and multi-objectives were minimizing the sum of absolute mean pressure coefficients on the surface of the prism, and/or the total peak velocity ratio values around the prism. Two case studies focusing on the optimization design of a single front fence and dual fences were presented, in order to determine the optimal fence parameters (height and porosity). The weighted-sum method was utilized to solve multi-objective problems, which finds the Pareto-optimal front one by one by changing the objective weighting coefficients. The results showed that the optimal design of porous fence provided a remarkable shelter performance improvement compared with the near optimal design. It was also found that the weighting coefficient had a significant influence on the optimal results, and a good trade-off between the two conflicting objective functions has been achieved by selecting suitable fence parameters.
Highlights Single and multi-objective aerodynamic optimization of porous fences are performed. Optimal solution is obtained by the kriging model and genetic algorithm. RANS simulations are carried out to model the flow around porous fence and prism. The potential of the proposed optimization method is illustrated on two examples. The optimal fence exhibits a reasonable shelter performance improvement.
Surrogate-based aerodynamic optimization for enhancing the shelter effect of porous fences on a triangular prism
Atmospheric Environment ; 244
2020-09-09
Article (Journal)
Electronic Resource
English
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