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Node-based genetic form-finding of irregular tensegrity structures

机译:不规则张力结构的基于节点的遗传形式发现

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A novel and versatile numerical technique to solve a self-stress equilibrium state is developed and used in a combination with a genetic algorithm as a form-finding procedure for an irregular tensegrity structure. An innovative direct encoding scheme of a tensegrity structure is proposed by using the connectivity matrix and prototype tension coefficient vector as the source of genes. The proposed method uses the least design variable, i.e. only the number of nodes needed to find a configuration of an irregular tensegrity structure, without any information on the symmetrical geometry or other predefined initial structural conditions. Three test cases are presented to demonstrate the efficiency of the proposed method in the form-finding of an irregular tensegrity structure. The result from the numerical form-finding procedure was used to design a real tensegrity object. (C) 2015 Elsevier Ltd. All rights reserved.
机译:开发了一种新颖的通用数值技术来解决自应力平衡状态,并将其与遗传算法结合起来用作不规则张力结构的找形程序。以连通性矩阵和原型张力系数向量为基因源,提出了一种创新的张力结构直接编码方案。所提出的方法使用最小的设计变量,即仅找到不规则张力结构的配置所需的节点数,而没有关于对称几何形状或其他预定的初始结构条件的任何信息。提出了三个测试案例,以证明该方法在不规则张力结构找形中的有效性。数值找形过程的结果用于设计真实的张力对象。 (C)2015 Elsevier Ltd.保留所有权利。

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