Performance-Based Optimization of Reinforced Ductile Concrete Frames with Asymmetric Reinforcement in Columns, using the ISR analogy

Abstract

Aims/ Objectives: The present work exposes the design of optimization procedures both with the “Particle Swarm Optimization” (PSO) algorithm and the “Genetic Algorithm” (GA) for the design of reinforced concrete frames, making comparisons in cost, weight of the structure and predicted damage. The optimization procedures are built up using the “Idealized Smeared Reinforcement” (ISR) analogy for each element of the structural model frames considered for this work. Study Design: Descriptive Cross-sectional study. Place and Duration of Study: Graduate Engineering Department, Autonomous University of Queretaro, Santiago de Quertaro, Quertaro, Mxico, August 2021. *Corresponding author: E-mail: lf.verduzcomartinez@ugto.mx;

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