Research On Optimization Of Structural Design Parameters Based On BIM Technology And Immune Genetic Algorithm

With the continuous advancement of the times and continuous technological innovation,all walks of life have been developing rapidly,and the construction industry in my country is showing unprecedented prosperity.Under such an industry structure,market competition has become increasingly fierce,which is undoubtedly a big test for construction companies.In order to enhance the competitive advantage and improve the cost-effectiveness of construction products,this requires companies to pay more attention to the cost control at each stage of the project while ensuring that the project is delivered on time and with quality.In each stage of the project,the design stage has a particularly significant control effect on the project cost.As an important part of the design stage,structural design optimization will inevitably have a huge impact on the project cost.Therefore,it is necessary to explore and study it.As a major change in the engineering field,BIM technology is currently widely used in the design,construction,operation and maintenance phases and optimization work in each phase.In order to improve design efficiency and save engineering costs,the advantages of BIM technology are fully utilized in the structural design optimization link,which has great practical significance and reference value for improving the current structural design optimization work mode.Therefore,from the perspective of structural cost control,this article uses BIM technology and immune genetic algorithm to optimize structural design parameters,and mainly carries out the following aspects of work:(1)Analyze the shortcomings in the traditional structural design optimization workflow,and on this basis,propose a new BIM-based structural design optimization method,and compare and analyze various BIM-related software.According to the research object of this article,Revit and PKPM are determined as the core.The software system and structural design optimization process of the company,and finally the structural design optimization method is analyzed and summarized from the two aspects of applicability and advantages;(2)Quantitatively analyze the influence of four major design parameters of column spacing,concrete strength grade,steel bar grade and component section size on the structure cost,and conduct a sensitivity analysis on it,and determine the column spacing and concrete strength based on the analysis results.Three design variables,grade and component section size,and then take the structure cost as the objective function,and the constraint conditions are divided into two categories: overall-level constraints and component-level constraints.The establishment of the frame structure optimization model is completed;the immune genetic algorithm is applied to the frame structure Column spacing and concrete strength grade parameters are optimized,and the section size parameters of structural beams and column members are optimized using grid search.(3)Through the case analysis of a certain railway station building project,the use of BIM technology to establish a three-dimensional structure model,and the use of PKPM software for structural calculation analysis,and finally the introduction of immune genetic algorithm to optimize the structural design parameters,the optimized structure cost ratio The cost of the original structure was reduced by 23.84%,which verified the feasibility of BIM technology in structural design optimization,and the effectiveness of the immune genetic algorithm to optimize the column spacing and concrete strength grade parameters of the frame structure.