Research On Collaborative Optimization Of Assembly Rate And Cost Of Prefabricated Buildings Based On BIM

It has been specified in the "14th Five-Year Plan for the Development of Construction Industry" that prefabricated buildings and BIM technology are the key tasks in the industrialization of information technology.A study has been proposed based on BIM to promote the development and promotion of prefabricated buildings and BIM technology,which aims to achieve the coordinated optimization of assembly rate and cost in prefabricated building based on BIM.By analyzing and investigating,20 influencing factors of prefabricated buildings are determined.The ISM algorithm is used to hierarchically divide each influencing factor,and the AHP algorithm is used to calculate the weight of each influencing factor.Then,a GCA-TOPSIS method is used to create a cost evaluation model for prefabricated buildings.After quantifying the indicators of influencing factors,the ideal solution and relative closeness under various conditions are calculated to evaluate the cost differences under different conditions.Subsequently,a way to optimize the parameters of prefabricated components of the main structure using the IGA-entropy weight-GCA-TOPSIS method is proposed to reduce the cost of the main structure.Finally,the method is verified through an example project,and it is concluded that the optimized cost is reduced by 19% compared with the average cost after removing the highest and lowest costs,and the assembly rate of the main structure meets the requirement of 50%.Through the study of the coordinated optimization problem of assembly rate and cost of prefabricated buildings based on BIM,the main conclusion drawn in this article is:(1)The influencing factors of the cost of prefabricated buildings are hierarchically divided using questionnaire survey,ISM and AHP algorithms,and the mutual influence relationships and weights between each influencing factor are determined,providing a reliable data basis for the coordinated optimization of assembly rate and cost.(2)The GCA-TOPSIS algorithm model is validated using a prefabricated residential building project.It is found that the assembly rate has an important impact on various stages such as the manufacture,transportation,and installation of prefabricated components,which affects the final cost.Increasing the assembly rate can reduce unnecessary work processes and waste production,improve production efficiency,reduce errors and defects during assembly,and reduce the time and labor costs required for manual operations.Therefore,the assembly rate is an important factor affecting the cost of prefabricated concrete buildings.(3)The immune genetic algorithm realizes the adaptive search and update of the coordinated optimization problem,and GCA-TOPSIS is used to solve the multi-parameter optimal value with expected conditions,while the entropy method provides the necessary objective weighting.The combination of the three enables the IGA-entropy weight-GCA-TOPSIS method to effectively achieve the coordinated optimization of assembly rate and cost for prefabricated buildings.(4)BIM technology provides a reliable hardware foundation for optimizing the cost of prefabricated buildings.Through BIM technology,the accuracy of the prefabricated building model can be improved,errors and inaccuracies in the model can be reduced,calculation speed can be accelerated,and critical data such as structural cost can be quickly obtained.This illustrates the importance of applying BIM technology to prefabricated buildings.BIM technology can help architects evaluate the assembly rate and cost in the design phase,thus achieving better optimization and adjustment and providing assistance for the development of prefabricated buildings.