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Analysis and Research of Deep Foundation Pit Pars Horizontal Displacement Prediction Method
Deformation of foundation pit is a complex, can not be quantified, factors affecting multiple process. Using curve fitting model and time series AR (n) model for the combined model on deformation of foundation pit displacement prediction. By the depth of the pit excavation and supporting different direction condition, segmentation modeling prediction. With the development of foundation pit deformation, constantly adding new data, and delete the old data, to modeling, implementation of the whole process control of deformation and displacement prediction. Combined model to the prediction of first data, the relative error can be controlled within five percent. Therefore, the model can be used to control the deformation of foundation pit projects that require high, can also be used for other models predict data close to the alarm value of a contrast.
Analysis and Research of Deep Foundation Pit Pars Horizontal Displacement Prediction Method
Deformation of foundation pit is a complex, can not be quantified, factors affecting multiple process. Using curve fitting model and time series AR (n) model for the combined model on deformation of foundation pit displacement prediction. By the depth of the pit excavation and supporting different direction condition, segmentation modeling prediction. With the development of foundation pit deformation, constantly adding new data, and delete the old data, to modeling, implementation of the whole process control of deformation and displacement prediction. Combined model to the prediction of first data, the relative error can be controlled within five percent. Therefore, the model can be used to control the deformation of foundation pit projects that require high, can also be used for other models predict data close to the alarm value of a contrast.
Analysis and Research of Deep Foundation Pit Pars Horizontal Displacement Prediction Method
Sun, Jian-Bo (author) / Wang, Dong (author)
2012
4 Seiten
Conference paper
English
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