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隧道建设(中英文) ›› 2018, Vol. 38 ›› Issue (S2): 120-125.DOI: 10.3973/j.issn.2096-4498.2018.S2.017

• 研究与探索 • 上一篇    下一篇

基于小波降噪的地下连续墙弯矩估算方法研究

李明1, 2, 吴波1, 3, 张焕明4, 周鹏4   

  1. (1. 福建工程学院土木工程学院, 福建 福州 350118; 2. 地下工程福建省高校重点实验室, 福建 福州 350118; 3. 广西大学土木建筑工程学院, 广西 南宁 530004; 4. 中交一公局厦门工程有限公司, 福建 厦门 361021)
  • 收稿日期:2018-07-18 修回日期:2018-09-04 出版日期:2018-12-30 发布日期:2019-01-30
  • 作者简介:李明(1988—),男,福建福州人, 2015年毕业于中国科学院武汉岩土力学研究所, 岩土工程专业, 博士, 讲师, 主要从事地下工程安全评价方面的研究工作。Email: lm20080808@126.com。
  • 基金资助:

    国家自然科学基金资助项目(51478118, 51678164); 福建省自然科学基金资助项目(2018J01624); 福建工程学院科研启动基金(GY-Z18139)

Estimation Method of Underground Diaphragm Wall Bending Moment Based on Wavelet Denoising

LI Ming1, 2, WU Bo1, 3, ZHANG Huanming4, ZHOU Peng4   

  1. (1.College of Civil Engineering, Fujian University of Technology, Fuzhou 350118, Fujian, China; 2.Key Laboratory of Underground Engineering, Fujian Province, Fuzhou 350118, Fujian, China; 3. College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, Guangxi, China; 4.Xiamen Engineering Co., Ltd., CCCC First Highway Engineering Group, Xiamen 361021, Fujian, China)
  • Received:2018-07-18 Revised:2018-09-04 Online:2018-12-30 Published:2019-01-30

摘要:

基坑地下连续墙侧向位移监测过程中不可避免地存在误差,以往利用侧向位移估算地下连续墙弯矩时忽略了对监测数据误差的处理。为解决监测数据误差带来的问题,引入小波降噪方法对侧向位移监测数据进行降噪处理,基于降噪后数据实现地下连续墙弯矩估算。以福州地铁2号线上街站基坑工程地下连续墙典型测点的侧向位移监测数据为研究对象,选择db3小波基函数、硬阈值函数、heursure 阈值对其进行5层小波降噪处理,采用6次多项式对降噪后的监测数据进行拟合并确定拟合曲线曲率半径(挠度),结合材料力学受弯构件相关理论实现地下连续墙弯矩估算。结果显示: 1)小波降噪可以有效去除侧向位移监测数据误差,监测数据误差主要分布在-0.6~0.6 mm; 2)利用降噪后的监测数据进行多项式拟合可以有效提高拟合精度; 3)地下连续墙最大估算弯矩为635.1 kN·m,约为设计值的40%,施工过程中地下连续墙安全状况良好。

关键词: 地铁车站基坑, 地下连续墙, 小波降噪, 弯矩估算, 位移监测, 安全评价

Abstract:

There is unavoidable error in the monitoring process of lateral displacement at foundation pit underground diaphragm wall. The error of the monitoring data was neglected in the past when estimating the underground diaphragm wall bending moment by lateral displacement. In order to solve the problem caused by the error, wavelet denoising method is introduced to denoise the lateral displacement monitoring data and the underground diaphragm wall bending moment can be estimated based on the data after denoising. The lateral displacement monitoring data of underground diaphragm wall typical measuring points in Shangjie Station foundation pit of Fuzhou Metro Line 2 are studied. Db3 wavelet basis function, hard threshold function and heursure threshold are selected to perform 5layer wavelet denoising. The sextic polynomial is used to fit the denoising monitoring data and radius of curvature and deflection of the fitting curves are determined. The bending moment of underground diaphragm wall is estimated based on the theory of flexural members of material mechanics. The results show that: (1)Wavelet denoising can effectively remove the error of lateral displacement monitoring data which is mainly distributed in the range of -0.6~0.6 mm. (2)The polynomial fitting accuracy can be effectively improved by using the noise reduction monitoring data. (3)The maximum estimated bending moment of the underground diaphragm wall is 635.1 kN·m, and is about 40% of the design value, so the underground diaphragm wall is in good condition during construction.

Key words: subway station foundation pit, underground diaphragm wall, wavelet denoising, bending moment estimation,
displacement monitoring,
safety evaluation

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