摘要
预测建筑物沉降的方法很多,但大都只能在等间距数据条件下才能使用,在工程实际中观测的数据很难满足这一要求,如果考虑了观测时间间隔不同对模型精度的影响,则有望提高预测精度。本文在灰色模型和泊松曲线模型理论的基础上,引入对非等间距数列进行变换处理的方法,从而建立了非等间距预测模型。结合沉降监测资料进行分析比较,结果表明,预测精度均比较高。
There are many methods to forecast building subsidence. But they are mostly used in the situation of uniform interval series. Therefore, it is difficult to meet this need in practice. In fact, if the non - uniform interval is ccnsidered, the accuracy may be increased. Based on the principle of Grey model and Poisson curve, the method to transform non - uniform piston series is introduced in this paper. And non-uniform piston forecasting model is constructed. In comparison with the original data, the result obtained by this model is very precise.
出处
《工程勘察》
CSCD
北大核心
2007年第12期57-60,共4页
Geotechnical Investigation & Surveying
基金
江苏省"青蓝工程"基金资助项目
关键词
沉降监测
非等间隔数列
灰色系统理论
泊松曲线
分析预测
subsidence monitoring
non-equidistant data sequent
Gray system theory
Poisson curve
analysisforecasting
