A foundation pit deformation prediction method fusing multi-physical models and monitoring data

Abstract

The present application relates to a kind of fusion multi-physical model and the foundation pit deformation prediction method of monitoring data, steps are as follows: S1.based on the soil parameter statistics of foundation pit deformation calculation physical model, then through calculation physical model, obtain corresponding deformation calculation response, construct dictionary model;S2. Observation matrix is gradually constructed, from S1 dictionary model, identify the atom with high correlation of observation matrix, determine important atom, and estimate the weight and its uncertainty of important atom using Bayesian inference method;S3. Based on the important atom determined in S2, using sparse dictionary learning, linear weighted combination is carried out in combination with the weight result estimated, and the approximate representation of foundation pit excavation deformation and subsequent construction stage are carried out deformation prediction;S4. Dynamic update subsequent deformation prediction result.The present application fuses physical model information and field monitoring data, can realize the accurate prediction and uncertainty quantification of foundation pit deformation, and provides technical support for foundation pit engineering safety control.

Images