A STUDY ON SUPPORT METHODS FOR CONSTRUCTION METHOD PLANNING IN THE RAMEN PRECAST CONCRETE CONSTRUCTION

This study proposes a decision support method for construction planning in ramen precast concrete (RPC) structures. By formalizing construction and manufacturing knowledge a parametric BIM model based on “panel zones” is developed. A genetic algorithm (GA) is then applied to optimize construction methods using multiple evaluation criteria such as number of joints and fabrication efficiency. Through numerical simulations、 the feasibility and effectiveness of the proposed BIM-GA framework are demonstrated. This approach enables rational planning beyond individual experience and supports knowledge transfer in the contractor or PCa industry.