基于改进R/S分析方法的深基坑变形预报预测研究  

Research on Deformation Predictions of Foundation Excavation Based on BP Neural Network and Improved the Role of R/S Analysis Method

作　　者：庞建成 隆然[2] 马娇[3] 

机构地区：[1]武汉华中岩土工程有限责任公司,湖北武汉430023 [2]中交第二公路勘察设计研究院有限公司,湖北武汉430056 [3]中国地质大学(武汉)地球科学学院,湖北武汉430074

出　　处：《施工技术》2015年第13期56-59,63,共5页Construction Technology

基　　金：交通部西部交通科技项目:公路路基结构性能与设计指标研究(2011318493720)

摘　　要：基于BP神经网络和改进的R/S分析方法,对基坑的变形趋势进行研究。首先,利用三次样条差值对监测数据进行预处理;其次,利用BP神经网络对监测样本进行预测;最后,利用R/S分析法对所有基坑变形样本进行变化趋势判断,并对比BP神经网络和R/S分析的结果。结果表明:BP神经网络和速率-序列的R/S分析的结果基本一致,得出基坑变形具有继续增加的趋势,但增加的幅度具有减小的趋势,证明了R/S分析在基坑变形趋势判断中的适用性。In this paper, an improved BP neural network and R/S analysis method on trends of foundation excavation deformation were studied. Firstly, the difference between the cubic spline was used for monitoring data preprocessing. Secondly, BP neural network monitoring samples were used to predict. Finally, R/S analysis of all samples foundation excavation deformation trends judgment was used, and comPare the results of BP neural network and R/S analysis. The results showed that BP neural network and speed-resulting sequence of R/S analysis have basic agreement, deformation has continued increasing trend, but the rate of increase has a reduced tendency to prove the applicability of the R/S analysis to trends of the foundation excavation deformation.

关 键 词：地下工程 深基坑 BP神经网络 R/S分析 

分 类 号：TU753[建筑科学—建筑技术科学]