To guarantee the safety and the quality of the deep pit construction of a high building, it is necessary to monitor the deformation of the supporting structure of the pit. At present, there are mainly two methods to m...To guarantee the safety and the quality of the deep pit construction of a high building, it is necessary to monitor the deformation of the supporting structure of the pit. At present, there are mainly two methods to monitor the geometric deformation of the supporting structure of the pit. One is to monitor the displacements of the tops of the piles; the other is to monitor the deep displacements of the piles. Based on the analysis of the characteristics of both the top monitoring data and the deep monitoring data, a united data processing method was put forward. A model of conicoid fitting model was chosen to describe the deformation surface of the pit, and then the robust estimation was adopted to avoid the influence of the gross errors existing in the observations. It was proved effective and accurate to analyze the deformation of the monitoring surface with this method. The steps of the method were concluded in detail.展开更多
基金Foundationitem Project (49904001) supported by the National Natural Science Foundation of China .
文摘To guarantee the safety and the quality of the deep pit construction of a high building, it is necessary to monitor the deformation of the supporting structure of the pit. At present, there are mainly two methods to monitor the geometric deformation of the supporting structure of the pit. One is to monitor the displacements of the tops of the piles; the other is to monitor the deep displacements of the piles. Based on the analysis of the characteristics of both the top monitoring data and the deep monitoring data, a united data processing method was put forward. A model of conicoid fitting model was chosen to describe the deformation surface of the pit, and then the robust estimation was adopted to avoid the influence of the gross errors existing in the observations. It was proved effective and accurate to analyze the deformation of the monitoring surface with this method. The steps of the method were concluded in detail.
