Linear Seismic Analysis and Structural Optimization of Reinforced Concrete Frames Using OpenSeesPy

Abstract

Seismic design of reinforced concrete buildings in highly active seismic regions is challenging, as structural members are often oversized due to conservative design practices, leading to inefficient use of materials. This study proposes an optimization methodology based on the Peruvian seismic code E.030, implemented with the OpenSeesPy library for modeling and numerical analysis. The methodology automates the linear analysis of frame structures through the parametrization of member dimensions, span lengths, and material properties. Optimization is carried out using the Hill Climbing algorithm, which iteratively explores design alternatives and verifies compliance with code requirements for interstory drift and base shear. Results show material savings of up to 20% in beams and columns. Although interstory drifts increased by 60–85% compared to the initial configuration, they remained within code limits. The methodology establishes a framework for integrating optimization techniques into the seismic design of reinforced concrete frame buildings.