Selection and Layout Optimization of Double Tower Cranes

Abstract

As the scale of construction expanded and the number of prefabricated buildings increased, a single tower crane could no longer meet the construction requirements, necessitating the simultaneous operation of more tower cranes to improve construction efficiency. To optimize the efficiency and cost of lifting prefabricated concrete components and address the selection and layout optimization of dual tower cranes, this paper proposed a double tower crane selection and positioning optimization model that integrated feasible layout area solving and optimization based on different objectives. By analyzing the mathematical relationship between the layout positions of the tower cranes and the positions of the prefabricated component storage yard and installation sites, a mathematical model for the feasible layout area of double tower cranes was established and solved using a genetic algorithm. On this basis, optimization models were established with the objectives of minimizing cost, achieving the shortest total lifting time, and achieving the maximum value coefficient, and they were solved using a genetic algorithm. The model was verified and analyzed through a case study. The research results indicated that the double tower crane selection scheme could achieve more than twice the lifting efficiency of the same model single tower crane. When the total lifting time was similar, choosing based on the principles of value engineering could yield the optimal solution with lower costs. These research findings provided a reference for the selection of tower crane schemes and the cost reduction and efficiency improvement of on-site prefabricated concrete component lifting construction.

Keywords

• tower crane
• selection
• layout
• positioning optimization
• value engineering