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About this Abstract
Meeting 2027 TMS Annual Meeting & Exhibition
Symposium Algorithms Development in Materials Science and Engineering
Presentation Title Optimized Design of Steel Planar Frames Using Genetic Algorithms and Semi-Rigid Connection Databases
Author(s) José Carlos da Silva Gama Júnior, Niander Aguiar Cerqueira
On-Site Speaker (Planned) Niander Aguiar Cerqueira
Abstract Scope This study presents a computational methodology for the optimized design of unbraced steel planar frames, considering geometric nonlinear behavior and semi-rigid connections. The three-stage approach begins by generating a database of feasible connections (BDD_LVC) to reduce computational costs in evolutionary processes. Subsequently, structural profiles and optimal stiffness levels are defined, followed by the identification of specific connection components. A Genetic Algorithm (GA) is employed for optimization, while the CALFEM software is adapted for structural analysis, incorporating nonlinear effects and semi-rigidity. Mechanical responses are obtained through the Calc_LSR_MC program, based on the Eurocode 3 Component Method. This structured solution promotes improvements in mechanical performance and economic feasibility. The methodology was validated through comparisons with established literature, demonstrating satisfactory results for materials engineering applications.
Proceedings Inclusion? Planned:
Keywords Joining, Iron and Steel, Computational Materials Science & Engineering

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