Research On Construction Quality Cost Prediction Of Main Structure Of Concrete Dome Using Inflated Forms

Quality cost prediction is an important part of quality cost management. At the present stage, the application of concrete dome storage structure using inflated forms is being vigorously promoted in China.It has important practical significance to research the construction quality cost prediction of the main of concrete dome storage structure using inflated forms.In this thesis, particle swarm optimization(PSO) combined with support vector regression(SVR) is used to predict the construction quality cost of the main of concrete dome storage structure using inflated forms.First, according to the analysis of the impact on the construction quality cost of the main of concrete dome storage structure using inflated forms, from 12 aspects such us the level of project management, quality cost of separated projects, dome diameter, dome bin height, construction period and so on.The index system is established for the construction cost quality of the structure of concrete dome storage structure using inflated forms.Secondly, the model of quality cost prediction based on PSO-SVR was constructed.PSO algorithm has strong global search capability. Combining PSO algorithm with SVR, which has the ability to deal with small sample problems,the parameters of SVR were optimized by PSO. Finally, the constructed model is applied to the construction quality cost prediction of the main of concrete dome storage structure using inflated forms, and the results of CV-SVR are compared, which proves that the model is scientific and effective.