| Settlement Prediction for Buildings Surrounding Foundation Pits Based on a Stationary Auto-regression Model |
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| 作者姓名： | TIAN Lin-ya HUA Xi-sheng |
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| 作者单位： | College of Civil Engineering, Hohai University, Nanjing, Jiangsu 210098, China |
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| 摘 要： | To ensure the safety of buildings surrounding foundation pits, a study was made on a settlement monitoring and trend prediction method. A statistical testing method for analyzing the stability of a settlement monitoring datum has been discussed. According to a comprehensive survey, data of 16 stages at operating control point, were verified by a standard t test to determine the stability of the operating control point. A stationary auto-regression model, AR（p）, used for the observation point settlement prediction has been investigated. Given the 16 stages of the settlement data at an observation point, the applicability of this model was analyzed. Settlement of last four stages was predicted using the stationary auto-regression model AR （1）; the maximum difference between predicted and measured values was 0.6 mm, indicating good prediction results of the model. Hence, this model can be applied to settlement predictions for buildings surrounding foundation pits.
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| 关 键 词： | 回归模型 建筑测量 安全性 沉降监测 |
| 收稿时间： | 2006-05-15 |
| 修稿时间： | 2006-08-20 |
Settlement Prediction for Buildings Surrounding Foundation Pits Based on a Stationary Auto-regression Model |
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| TIAN Lin-ya HUA Xi-sheng.Settlement Prediction for Buildings Surrounding Foundation Pits Based on a Stationary Auto-regression Model[J].Journal of China University of Mining and Technology,2007,17(1):78-81. |
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| Authors: | TIAN Lin-ya HUA Xi-sheng |
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| Affiliation: | College of Civil Engineering, Hohai University, Nanjing, Jiangsu 210098, China |
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| Abstract: | To ensure the safety of buildings surrounding foundation pits, a study was made on a settlement monitoring and trend prediction method. A statistical testing method for analyzing the stability of a settlement monitoring datum has been discussed. According to a comprehensive survey, data of 16 stages at operating control point, were verified by a standard t test to determine the stability of the operating control point. A stationary auto-regression model, AR(p), used for the observation point settlement prediction has been investigated. Given the 16 stages of the settlement data at an observation point, the applicability of this model was analyzed. Settlement of last four stages was predicted using the stationary auto-regression model AR (1); the maximum difference between predicted and measured values was 0.6 mm,indicating good prediction results of the model. Hence, this model can be applied to settlement predictions for buildings surrounding foundation pits. |
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| Keywords: | foundation pit building settlement monitoring datum stability stationary auto-regression model settlement prediction |
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