Tensegrity structures present new possibilities to the field of structural engineering, owing to their ability to efficiently distribute compressive loads associated with their non-orthogonal design. Previous research has shown that when pretensioned, tensegrities exhibit higher resistance to compressive loading. However, over-tensioning can have adverse effects, reducing the tensegrities overall resistance to compressive loading. The geometry of a tensegrity affects how the structure reacts to loading, and the prestress and loading can concurrently affect geometry. This paper uses genetic algorithms to optimize the pretension loads in the cables of a tensegrity to deliver the highest overall vertical load capacity. The results are applied to determine the ultimate load-carrying capacity of tensegrities under a compressive load and determine the optimal aspect ratio at which this is achieved. By optimizing the pretension, the tensegrity can withstand compressive loads up to six times those that have been previously reported in literature.

由于其有效地分配与其非正交设计相关的压缩载荷的能力，因此张力结构为结构工程领域提供了新的可能性。先前的研究表明，在预张紧时，张力对压缩载荷表现出更高的抵抗力。但是，过度张紧会产生不利影响，从而降低张力对压缩载荷的整体抵抗力。张力的几何形状会影响结构对载荷的反应方式，预应力和载荷会同时影响几何形状。本文使用遗传算法来优化张力电缆中的预应力载荷，以提供最高的整体垂直载荷能力。将结果应用于确定压缩载荷下张力的最终承载能力，并确定达到此极限值的最佳长宽比。通过优化预紧力，拉伸强度可以承受的压缩载荷是文献中先前报道的压缩载荷的六倍。