An efficient Python code for modelling strut-and-tie tridimensional models for topological optimization using SESO and ESO methods

Resumo

This paper presents a methodology for the automatic generation of optimal strut-and-tie models in
reinforced concrete structures using the Evolutionary Structural Optimization (ESO) and Smoothing Evolutionary
Structural Optimization (SESO) methods. The presented methodology is developed to minimize the compliance
and is implemented in Python. The proposed approach deals with the generation of projects with truss-like
elements, addressing a console. The obtained results show a good accuracy compared with those described in the
literature.