Design of tensegrity structures using parametric analysis and stochastic search

摘要: Tensegrity structures are lightweight composed of cables in tension and struts compression. Since tensegrity systems exhibit geometrically nonlinear behavior, finding optimal structural designs is difficult. This paper focuses on the use stochastic search for design systems. A pedestrian bridge made square hollow-rope ring modules studied. Two methods compared this paper. Both aim to find minimal cost solution. The first method approximates current practice offices. More specifically, parametric analysis that similar a gradient-based optimization used identify good designs. Parametric studies executed each system parameter order its influence response. second uses strategy called probabilistic global Lausanne. provide feasible configurations meet civil engineering criteria safety serviceability. also help defining parameters such as appropriate penalty costs enforce constraints while optimizing using search. Traditional useful gain an understanding behavior. However, due many local minima solution space, strategies better solutions than studies.