Gebrail Bekdas, Sinan Melih Nigdeli, Xin-She Yang
Truss structures, Flower Pollination Algorithm, Structural member without grouping, Size optimization, Optimization, Nature inspired swarm intelligence
In the optimum design of the cross-sectional areas of the structural members, swarm intelligence based methods are effective in finding optimum designs. In order to increase the level of the feasibility of the approaches, the members of the structures are grouped. In that case, the computational cost decreases, but the exact optimum design of the structure cannot be found. In that case, the employed methodology must be sufficiently fast if the members are not grouped. In this paper, the truss structural systems are investigated without grouping. The methodology employs the flower pollination algorithm and an iterative constraint handling strategy is applied for design constraints about compression, tension and displacement limits. The method is effective in finding truss structure designs with smaller cross-sectional areas than those of the existing strategy using grouping of structural members.
Cite this paper
Gebrail Bekdas, Sinan Melih Nigdeli, Xin-She Yang. (2016) Size Optimization of Truss Structures Employing Flower Pollination Algorithm without Grouping Structural Members . International Journal of Theoretical and Applied Mechanics, 1, 269-273