Abstract
Based on an example of a project in Tangshan, the high-rise buildings are built in karst area and mined out affected area which is treated by high pressure grouting, and foundation is adopted the form of pile raft foundation. By long-term measured settlement of high-rise buildings, It is found that foundation settlement is linear increase with the increase of load before the building is roof-sealed, and the settlement increases slowly after the building is roof-sealed, and the curve tends to converge, and the foundation consolidation is completed. The settlement of the foundation is about 80% - 84% of the total settlement before the building is roof-sealed.Three layer BP neural network model is used to predict the settlement in the karst area and mined affected area.Compared with the measured data, the relative difference of the prediction is 0.91% - 2.08% in the karst area, and is 0.95% - 2.11% in mined affected area. The prediction results of high precision can meet the engineering requirements.
Highlights
In recent years, the construction area of high-rise buildings has become more and more complex, such as: Karst area, mined out area, mined out affected area, subsidence area, tidal flat area, filling area, etc
Based on an example of a project in Tangshan, the high-rise buildings are built in karst area and mined out affected area which is treated by high pressure grouting, and foundation is adopted the form of pile raft foundation
In order to ensure the safety of the building, the use of modern information equipment to monitor the settlement of the foundation and the collected data analyzed for future settlement prediction are important parts of engineering construction indispensable under complicated geological conditions [1] [2]
Summary
The construction area of high-rise buildings has become more and more complex, such as: Karst area, mined out area, mined out affected area, subsidence area, tidal flat area, filling area, etc. For the prediction of settlement data of high-rise building foundation under complicated geological conditions, BP neural network has its unique advantages, the traditional function of the independent variables can be used as the inputs of the model, and the traditional function of the dependent variable can be used as the output of the model, and this function is transformed into multi dimensional nonlinear mapping, through the network like the brain the information processing process of parallel processing, will not affect the results of the whole small part because the loss of data. Based on the Tangshan A plaza including A tower in karst area and E4 highrise residential building in the mined out affected area Combined with their long-term measured settlement data, analysis of building foundation settlement rule, and establish the BP neural network prediction model, to predict the foundation settlement
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