Multiobjective topology optimization of planar trusses using stress trajectories and metaheuristic algorithms

In civil engineering, structural optimization seeks an efficient use of material resources and the automatization design process a wide range structures such as frames, bridges, other systems. This work develops novel multiobjective topology to minimize planar trusses' weight strain energy. initial stage, optimized discrete geometry ground structure is generated from continuum space with general boundary conditions (loads supports) using stress trajectories theory. final size performed concept Envelope Pareto Front (EVP), which obtained best solutions provided by three metaheuristic algorithms (NSGA-II, MOPSO AMOSA). The results on large-scale truss (200 m span continuous bridge) showed that innovative geometries could be found (new connectivity patterns). generation EVP allows getting more significant number non-dominated solutions, exploring broader region front two objective functions, achieving greater convergence diversity than algorithms' individual performance. computation cost strategy was satisfactory, its potential implementation in actual trusses, discovering optimized, for this type structures.