Optimal structural design method for reinforced concrete column in buildings with high floor heights using a genetic algorithm

Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses. Because these structures require wide spans and high floor heights, ensuring structural safety is paramount. Accordingly, this study proposes an optimal design method for reinforced concrete columns in buildings with high floor heights (RCHFH) using a genetic algorithm. The design was optimized for cost‐efficiency across various load conditions—including axial load, moment, and column height—while maintaining structural integrity. By analyzing the derived design variables and their interrelationships, this study establishes an optimal cost function that utilizes load conditions as inputs to determine the most cost‐effective design for RCHFH columns.