深基坑施工变形预测与控制方法研究

向玮; 张爱军; 高伟

深基坑施工变形预测与控制方法研究 English Version

向玮^1,2,
张爱军^2,3,
高伟⁴

(1.哈尔滨工业大学深圳研究生院，广东深圳 518055；2. 深圳市政府投资项目投资评审中心，广东深圳 518036；3. 华南理工大学土木与交通学院，广东广州 510641；4. 深圳市勘察测绘院有限公司，广东深圳 518028)

详细信息

作者简介:
向玮(1983– )，男，湖北松滋人，博士后，主要从事地基处理及地下工程等方面的研究与咨询工作。

中图分类号: TU47
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出版历程
- 收稿日期: 2012-11-12
- 发布日期: 2012-11-12

Deformation predictions and control methods for excavation of deep foundation pits

(1. Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China; 2. Shenzhen Government Investment Project Evaluation Center, Shenzhen 518036, China; 3. School of Civil Engineering and Transportation, South China University of Technology Guangzhou 510641, China; 4. Shenzhen Geotechnical Investigation & Surveying Institute, Shenzhen 518028, China)

摘要

摘要: 结合广州地铁某换乘车站深基坑工程，分别采用5种计算模型对深基坑施工引起的周边地表沉降进行了预测分析，与实测沉降值对比后发现：灰色GM(1,1)模型、灰色马尔科夫链模型和BP人工神经网络的短期预测结果比较可靠，但其长期预测结果精度不够，而经过残差修正后的灰色模型能够明显的提高预测精度，具有一定的工程实用价值；并结合具体工程实例提出了深基坑施工变形控制的基本方法。
- 深基坑 /
- 施工变形预测 /
- 变形控制方法
Abstract: The excavation deformation of deep foundation pits is predicted by 5 kinds of different models. Compared with the test data, the results show that the short-term prediction accuracy of the metabolic GM(1,1) model, grey Markov chain model and BP model can meet the requirements of the engineering. But their long-term prediction accuracy is unreliable. It is proved that the residual GM(1,1) model and the grey Markov chain model are suitable for the medium-term and long-term predictions. The excavation deformation control methods for deep foundation pits are summarized
- deep foundation pit /
- deformation prediction /
- deformation control method

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参考文献(7)

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