Optimal Design of Steel Plate Shear Wall Systems Using Genetic Algorithm
Subject Areas : Analysis of Structure and Earthquake
Pooya Arezoomand Langarudi
1
,
Mohammadreza Adibramezani
2
,
عطا حجت کاشانی
3
,
سعید فرخی زاده
4
1 - Department of Civil Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Civil Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
3 -
4 -
Keywords: shear wall, metaheuristic algorithm, genetic algorithm, optimal design, performance evaluation,
Abstract :
The steel plate shear wall system is one of the most effective lateral load-resisting systems, offering significant behavioral advantages. However, existing design methods for this system are often overly conservative, leading to economic inefficiencies. This study aims to develop structural designs that ensure both effective safety and cost-efficiency. To achieve this, a genetic optimization algorithm is utilized. Initially, a numerical model is developed and validated using the OpenSees software. This model is then integrated with an optimization code implemented in MATLAB, which iteratively adjusts design parameters to determine optimal cross-sectional areas for 4-, 8-, and 12-story structures. These optimized designs are subsequently compared to conventionally designed models created through a trial-and-error approach. The findings demonstrate that optimization reduces structural weight, enhances performance, and mitigates the conservatism inherent in traditional design methods.
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