Building Arrangement Optimization for Urban Ventilation Potential Using Genetic Algorithm and CFD Simulation
Building Arrangement Optimization for Urban Ventilation Potential Using Genetic Algorithm and CFD Simulation
复制标题
利用遗传算法和 CFD 模拟优化城市通风潜力的建筑布局
DOI：
10.22260/isarc2014/0033
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
R. Ooka
中科院分区：
文献类型：
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作者：
Jongyeon Lim;R. Ooka
在这项研究中，我们开发了一种基于计算流体动力学（CFD）的方法，以优化城市通风潜力的建筑物在概念设计阶段的安排，并在案例研究中展示了其应用。对于基于CFD的优化，必须组装三个计算组件：优化器、几何/网格生成器和CFD求解器。优化器求解优化问题，该优化问题包括设计变量、目标函数和约束函数。几何结构/网格生成器创建建筑物几何结构（即，顶点、面和单元），将它们转换为与CFD求解器兼容的网格文件，并指定边界条件。CFD求解器用于计算目标函数的值并将其返回给优化器。在这项研究中，局部动能（KE）的目标函数的目标区域。KE是用于精确评估风的对流效应的参数，并且是根据湍流分量和平均速度分量计算的。结果表明，遗传算法使开发的方法，以提供选择的设计师，较少的负面影响的城市通风潜力的周边地区。
In this study, we developed a computation-al fluid dynamics (CFD)-based method to optimize the arrangement of buildings for urban ventilation potential at the conceptual design stage and demonstrated its application in a case study. For CFD-based optimization, three calculation components must be assembled: an optimizer, a geometry/mesh generator, and CFD solver. The optimizer solves the optimization problem, which comprises design variables, objective functions, and constraints functions. The geometry/mesh generator creates a building geometry (i.e., vertices, faces, and cells) that satisfies the design variables generated in the optimizer, converts them into a mesh file compatible with the CFD solver, and assigns the boundary condition. The CFD solver is used to calculate and return the value of the objective function to the optimizer. In this study, the local kinetic energy (KE) of the target area was employed as the objective function. KE is a parameter that is used to precisely evaluate the convective effects of the wind and is calculated from the turbulent components and the averaged velocity components. The results showed that genetic algorithm enables the developed method to provide options to designers that less negatively affect the urban ventilation potential of the surrounding area.