Multi-objective optimization for flexible design of aerial building machine under various wind conditions

Abstract

Aerial building machine (ABM) is a climbing formwork-based mechanical equipment, the design of which has been limited by cumbersome processes, insufficient intelligence, and conservative structures. This paper proposes a flexible design framework incorporating multiple reinforcement measures to optimize ABM structures under various wind conditions. Using parametric modeling and multi-objective optimization (MOO), the framework generates lightweight design solutions tailored to specific scenarios. An ABM project in China demonstrates the approach, producing a scheme set of four structures capable of withstanding extreme wind loads with stress ratios below 1.0. Compared to robust designs, the flexible method reduces steel consumption by 12.45 % during construction and 7.02 % under extreme wind conditions. Among reinforcement measures, the pin shaft and supporting point offer the best cost efficiency (21.95), while diagonal bracing performs the least favorably (3.82). The contributions of this research lie in introducing flexibility into ABM design through multiple local reinforcement measures.