周期的に変動する条件下における構造形態創生のための発見的手法

概要

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This paper presents an effective method for designing structures using cellular automata, representing a simple conceptual basis for the self- organization of structural systems. The method is sufficiently simple to solve topology optimization problems as pure 0-1 problems, and yet sufficiently complex to express a wide variety of complicated topologies. A local rule about birth and death of cells, that is a new idea from neuron's properties, is introduced in order to search for solutions. The local rule has binary characteristic, spatial summation characteristic, and temporal summation characteristic of inputs. Since the method has temporal summation characteristic of inputs, especially the method is able to apply to problems of structure subjected to periodic forces or periodic support conditions. The effectiveness of the present method is demonstrated through numerical examples of the typical topology optimization problem.
社団法人日本建築学会の論文
2005-07-30