On using genetic algorithms for optimum damper placement in space trusses

Although similar in some ways to the design of aircraft and other lightweight structures, the optimal design of space structures has several unique challenges. A flexible optimization system allowing for multiple analysis techniques and including continuous and discrete design variables is desired. Although not as computationally efficient as traditional optimization techniques, genetic algorithms meet this requirement. The present investigation used a genetic algorithm to place passive viscous dampers in space trusses. The flexibility of the system was demonstrated through the use of fixed and free boundary conditions. The results showed that four dampers are generally sufficient to suppress bending motion in a seventy-two-bar fixed truss and a seventy-eight-bar free truss. The results were intuitive, demonstrating the suitability of the genetic algorithm to this class of problem.