Analysis of Tensegric Structures by Total Potential Optimization Using Metaheuristic Algorithms

Abstract

Tensile integrity (tensegrity, tensegric) structures are suggested for possible use in architectural works, bridges, covering large areas, and especially for habitats in outer space and on space bodies because of their minimal need for structural materials and ease of transfer and mounting. Structurally, their behavior is nonlinear and thus their analysis necessitates special care with recourse to special techniques. This study shows that their structural analysis can successfully be performed by a method called total potential optimization using metaheuristic algorithms (TPO/MA) with no special precautions in a very general way. In the applications, which are conducted using software prepared for analyzing all types of nonlinear trusses and trusslike structures, the load-displacement behaviors of tensegric structures are investigated to include also the effect of prestressing level on cables. Genetic algorithms are used in this study as the metaheuristic technique for solving the optimization part of the problem.