Prestressed concrete continuous beam bridges are widely used in bridge construction projects due to their advantages such as large span capacity,reasonable stress distribution,and cost-effectiveness.However,such bridges are subjected to various factors such as construction technology,environmental temperature,and construction monitoring during the construction process,and there may be some errors in the linearity and stress of the bridge structure compared to the design.If not controlled in a timely manner during the construction process,it may cause difficulties in jointing and ultimately result in linearity deviation of the completed bridge structure exceeding the limit value and unreasonable stress distribution.In addition,the linearity and stress prediction of bridge structures during the construction process are typically calculated using simulation and modeling tools such as Midas,but the accuracy of these methods is limited by the parameters used in the model.To address the deficiencies of these methods,this study focuses on the typical prestressed concrete continuous beam bridge — the Baian River Bridge — as an engineering basis,and explores the rapid modeling technology and related deep applications of bridge models using Building Information Modeling(BIM)technology.The BIM model is then converted into a finite element model to analyze the critical construction stages and control sections of the main beam for active control of the main beam at the beginning of the construction process.Additionally,the study introduces grey system theory to establish a grey GM(1,1)prediction model to control the linearity and stress of the main beam during the construction process.The simulation calculation values and the prediction values obtained from the grey prediction model are compared and analyzed with the actual measured values at the construction site,and sensitivity analysis is carried out for the parameters that are prone to errors during actual construction.The main research results are presented as follows:(1)BIM model of bridge was created by Revit modeling software +Dynamo visualization programming,parametric family library of prestressed concrete continuous beam bridge members was established,and automatic modeling program of bridge superstructure and substructure was developed.The results show that the parameterized family library of bridge components can meet most of the requirements of parameterized modeling of common bridge components.The automatic modeling program can realize the automatic and accurate placement of the upper and lower structure of the continuous beam bridge,which effectively improves the modeling efficiency.The application in engineering quantity statistics,collision inspection and roaming can provide a strong guarantee for the procurement of materials and the smooth implementation of construction in the early stage.(2)By converting the BIM model into a finite element model and using the finite element software Midas Civil,the stress and displacement of Baian River Bridge in different construction stages were preliminarily calculated,and the deflection and stress of each construction stage were obtained.The results show that the deviation of the measured value and the simulation analysis result fluctuates within the allowable range,which can be applied to the control of the initial stage of construction.(3)Based on the grey prediction theory,taking the measured values in each construction stage as the original series,the grey GM(1,1)prediction model is established to predict the variation of deflection and stress in the construction process and guide the field construction.The measured values of deflection and stress,the calculated values of simulation analysis and the predicted values of prediction model are compared and analyzed in each construction stage,and the prediction accuracy of the model is verified.The results show that the predicted value obtained by the grey GM(1,1)prediction model is closer to the measured value than that obtained by the traditional simulation,and the prediction accuracy has been further improved.The prediction accuracy of the grey GM(1,1)prediction model can reach less than 5% for the change of deflection and less than 10% for the change of stress,which indicates that the application of grey system theory in the construction control of continuous beam bridge is practical.(4)Parameter sensitivity is of great significance for modifying model parameters and improving construction accuracy.By introducing the sensitive factor theory of construction control parameters,the quantitative sensitivity analysis of related parameters is carried out,and the sensitive factor of each parameter is calculated.Combined with the error threshold of monitoring parameters and construction control precision,the sensitive definition scale of influence parameters of prestressed continuous beam bridge was optimized,sensitive parameters,sub-sensitive parameters and non-sensitive parameters were identified,and the range of parameter variation under the specific control index was given,which provided the basis for the construction monitoring to focus on the parameters,and put forward reasonable suggestions for the construction of such Bridges. |