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settlement Prediction for Buildings Surrounding Foundation Pits Based on a Stationary Auto-regression Model

Journal of China University of Mining and Technology 2007年第1期17卷 78-81页

作者： TIAN Lin-ya HUA Xi-sheng College of Civil Engineering Hohai University Nanjing Jiangsu 210098 China

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.

关键词： foundation pit building settlement monitoring datum stability stationary auto-regression model settlement prediction

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Observation and evaluation of bridge settlement in Beijing—Tianjin intercity railway

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Engineering Sciences 2012年第1期10卷 56-60页

作者： Ding Yuanwen China Railway 17th Bureau Group Taiyuan 030006 China

Specific requirements and methods of settlement monitoring which were used in bridge of unballasted track passenger dedicated line or high-speed railway are introduced systematically,and mathematical model and determinant conditions of settlement were proposed simultaneously,taking Beijing—Tianjin intercity railway as an example.

关键词： Beijing--Tianjin intercity railway bridge settlement monitoring evaluation

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