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基于非等时距数据序列的高层建筑沉降预测
引用本文:单瑞,独知行,刘焱雄.基于非等时距数据序列的高层建筑沉降预测[J].测绘科学,2010,35(3):100-102.
作者姓名:单瑞  独知行  刘焱雄
作者单位:山东科技大学测绘学院,山东,青岛,266510;国家海洋局第一海洋研究所,山东,青岛,266061
摘    要:将泊松曲线引入到高层建筑的沉降预测分析中。采用牛顿插值平均法将非等时距数据转化成等时距数据,通过三段计算法求解模型系数,并结合高层建筑沉降监测工程实例计算分析,结果表明:泊松曲线预测与实际沉降数据吻合较好,拟合曲线精度较高,预测效果明显好于传统的双曲线法和指数曲线法,具有较高的实际应用价值。

关 键 词:沉降预测  非等时距  泊松曲线  牛顿插值

High-rise building settlement forecast based on unequal time interval data series
SHAN Rui,DU Zhi-xing,LIU Yan-xiong.High-rise building settlement forecast based on unequal time interval data series[J].Science of Surveying and Mapping,2010,35(3):100-102.
Authors:SHAN Rui  DU Zhi-xing  LIU Yan-xiong
Abstract:Poisson Curve is applied to high-rise building settlement forecast Unequal time interval data is transferred to equal time interval data with using Newton Interpolation.The model factors are calculated with 3 block method.By comparing with measured data, it is shown that Poisson Curve forecast data and the actual settlement data agree well, and curve fitting accuracy is high.Its effect is better than the methods of hyperbola and exponential curve.This forecast method has a high value in practical applications.
Keywords:settlement forecast  unequal time interval  poisson curve  newton interpolation
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