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Application of BEM and cellular automata to determining optimal shapes of the sound-insulating wall

机译:BEM和蜂窝自动机在隔音墙中确定最佳形状的应用

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There are many optimizing procedures using sensitivity analysis or genetic algorithms, and they are successfully applied to a wide varaiety of practical problems. In general, however, an optimizing procedure using sensitivity analysis frequently fails to find the global minimum of an objective function, depending on the initial values of parameters. The present paper is concerned with application of cellular automata [1] [2] [3] [4] [5] combined with the boundary element method to finding optimal shapes of the sound-insulating wall. In application of the cellular automata, the domain of interest is discretized into a number of uniform cells. Some quantity defining the cell state is assigned each cell, and then modified by a transition rule under the condition that a local rule for cells is satisfied. An optimal solution can thus be found in an iterative procedure. No sensitivity analysis is required in the cellular automata, and it is reported that the optimal solution or a 'satisfactory' solution can be rather easily obtained under a simple local rule and also a simple transition rule. The present paper aims at finding optimal or satisfactory shapes of the sound-insulating wall for auto-highways. A two-dimensional model of the auto-highway with wall, in which a sound-insulating wall stands perpendicularly to the infinite horizontal plane of the ground and a point source of noise is located at the central point on the road. Details of the cellular automata applied together with the boundary element method are discussed in authous' separate paper[6]. After the optimization procedure using BEM and cellular automata is briefly explained in this paper, it is applied to finding the optimal shapes of the sound insulating wall under several important situations. It will also be demonstrated that an optimal or satisfactory shape of the wall which can drastically reduce noise can be found if the cells change even in the diagonal directions.
机译:使用敏感性分析或遗传算法有许多优化程序,它们成功地应用于各种实际问题的因素。然而,通常,根据参数的初始值,使用敏感性分析的优化程序频繁地未能找到目标函数的全局最小值。本文涉及施用细胞自动机[1] [2] [3] [4] [5]与边界元件方法组合以找到隔音壁的最佳形状。在蜂窝自动机的应用中,感兴趣的领域被离散化为多种均匀细胞。分配了一些定义单元格状态的数量,然后通过在满足小区的本地规则的条件下通过转换规则进行修改。因此可以在迭代过程中找到最佳解决方案。蜂窝自动机不需要敏感性分析,并且据报道,在简单的本地规则下可以很容易地获得最佳解决方案或“令人满意”的解决方案,也可以在简单的转换规则中获得。本文旨在找到用于自动高速公路的隔音墙的最佳或令人满意的形状。具有壁的自动高速公路的二维模型,其中隔音壁垂直于地面的无限水平面展望,并且噪声点源位于道路的中心点。讨论了与边界元法一起施加的蜂窝自动机的细节在“单独的纸张”[6]中讨论。在本文简要说明使用BEM和蜂窝自动机的优化过程之后,应用于在几个重要情况下找到隔音壁的最佳形状。还还将证明,如果电池即使在对角方向上变化,则可以发现可以大大降低噪声的壁的最佳或令人满意的形状。

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