基于灰色新陈代谢模型的建筑物沉降分析

Building Subsidence Analysis Based on the Grey Metabolism Model

变形监测数据处理有助于及时了解建筑物安全状态。本文在对灰色模型基本理论作阐述的基础上,结合沉降监测实例,采取新陈代谢法对实测数据进行分析与预测,得到了满足精度要求的成果,验证了该方法应用于建筑物沉降分析的可行性。

Deformation monitoring data processing is important for mastering the safe state of buildings. First, the basic theory of grey model was illustrated in this paper. Then, combining one subsidence monitoring for example, the metabolism model was adopted for analysis and forecast on monitoring data. Based on the result, this method has been verified to satisfy the accuracy requirement and has been feasible for the building subsidence analysis.