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Research On Time-Cost Optimization Of Prefabricated Building Based On Component Parameterization

Posted on:2024-06-09Degree:MasterType:Thesis
Country:ChinaCandidate:C ZhouFull Text:PDF
GTID:2542307133992979Subject:Civil and Hydraulic Engineering (Professional Degree)
Abstract/Summary:PDF Full Text Request
With the development of building informatization,prefabricated building are widely used and rapidly developed in the construction industry with the advantages of high efficiency,energy conservation,environmental protection and construction safety.Comply with the requirements of the 14 th Five Year Plan,and require to improve the technical level and project management level of prefabricated building projects to adapt to the high-quality development of prefabricated building.BIM(Building Information Modeling)is the main technology to promote the transformation of building information.Based on BIM technology,parametric management of prefabricated building components is carried out to improve the modeling efficiency of prefabricated building and realize 3D visual management;Based on scientific modeling,factor analysis and optimization algorithm,the construction period cost optimization of prefabricated building is carried out.This paper studies the construction period cost optimization of prefabricated building based on component parameterization.The main research contents and achievements are as follows:(1)Information management based on component parameterization.The prefabricated components are classified and coded according to certain rules,and the geometric and Semantic information are integrated into the parametric model to improve the function of information transmission and sharing of prefabricated components.Dynamo implements modeling element driven interfaces,enables interactive modeling between Revit and information code,generates parameterized 3D models,and enables rapid modification and real-time updates of model parameters.(2)Time cost control and optimization based on scientific modeling.By creating the encoding XML data structure base class in Visual software,export the XML manifest file,obtain the engineering quantity information,and obtain the cost information of prefabricated building.By analyzing the relationship between prefabricated building duration and direct cost,and the relationship between prefabricated building duration and indirect cost,the objective function model of duration cost is obtained.This paper identifies the influencing factors of prefabricated building ’duration cost,sorts the influencing factors of prefabricated building’ duration cost by using the grey clustering method,determines the key control points of duration cost,and puts forward corresponding countermeasures.The genetic algorithm solves the established objective function model and obtains the optimal solution for the duration cost under the objective function.(3)Project case verification.In this paper,the research results of the case project are verified on the basis of the relevant theories studied in this paper,taking the 1 # residential building in the 06 plot of XX large residential district as an example.Study the applicability of the contents of this paper to actual projects.This paper optimizes the management object of the prefabricated building,determines the component parameter information from the component perspective,and carries out parametric modeling of the prefabricated building components,so as to quickly modify the parameter settings to correct the model.Obtain the quantity information of components in the parameter model,sort the factors that affect the construction period cost of prefabricated buildings based on the grey clustering method,and put forward the corresponding control measures for the construction period cost.Based on genetic algorithm,solve the multi-objective problem of prefabricated buildings and effectively manage the duration and cost of prefabricated buildings.
Keywords/Search Tags:prefabricated building, BIM, Dynamo parameterization, genetic algorithm, grey clustering
PDF Full Text Request
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