软土地区盾构过河地面沉降特性及其预测方法
摘要:盾构过河施工易引起土体损失和变形，造成地表和上部桥梁沉降。依托某淤泥质软土地区盾构过河工程，对浅覆土条件下盾构过河施工引起的地面和桥墩沉降特性进行了实测分析，同时利用长短期记忆网络模型，给出了一种考虑施工时序性和施工过程参量的盾构过河沉降预测方法，并对盾构过河条件下的沉降控制施工措施进行了探讨。研究表明，盾构过河施工引起的河前监测点沉降变化在掘进过程中可以分为四个阶段，临河断面的地表沉降量明显大于其他断面，桩基沉降主要发生于盾构穿河过程中。实测数据的分析表明，长短期记忆网络模型能够较好地对各环施工影响参数和对应沉降进行表征，能够用于盾构过河沉降预测分析。
Abstract:River crossing construction of shield tunneling causes loss of soil mass and settlement of surface and upper bridges. Based on a shield construction project with river crossing construction in a muddy soft soil area, the ground and bridge pier settlement characteristics caused by river crossing construction under shallow overburden conditions were measured and analyzed. A method for predicting the settlement caused by the river crossing construction of shield tunneling considering construction sequences and process parameters was proposed using the long-short-term memory network model. The settlement control measures of construction were also discussed. The research shows that the settlement change of monitoring points in front of the river caused by river crossing construction can be divided into four stages. The surface settlement of the measuring points near the river is greater than that of other measuring points of the shield section. The settlement of pile foundations mainly occurs during the process of shield tunneling crossing the river. The analysis based on the measured data shows that the long-short-term memory network model can better characterize the construction impact parameters and corresponding settlement of each ring and can be used for the settlement prediction analysis caused by the river crossing construction of shield tunneling.
中文标题：
软土地区盾构过河地面沉降特性及其预测方法
Characteristics and Prediction Method of Ground Settlement Caused by River Crossing Construction of Shield Tunneling in Soft Soil Area
作者：
连天1,,陈友文2
Lian Tian1,,Chen Youwen2
作者简介:连 天，男，1971年生，汉族，浙江温岭人，大学本科，高级工程师，主要从事市政公用工程管理和研究工作。E-mail: 466135733@qq.com
通讯地址：
1.台州市市政公用工程质量安全事务中心，浙江台州 318000 2.浙江省交通投资集团有限公司，浙江杭州 310020
1.TaizhouMunicipalEngineeringQualityandSafetyAffairsCenter,Taizhou318000,Zhejiang,China 2.ZhejiangCommunicationsInvestmentGroupCo.,Ltd.,Hangzhou310020,Zhejiang,China
中图分类号:U456
doi:10.3969/j.issn.1007-2993.2024.04.005
出版物：岩土工程技术
收稿日期:2022-11-07
修回日期:2023-11-19
录用日期:2023-12-25
网络出版日期:2024-08-09
刊出日期:2024-08-09
关键词:盾构隧道,过河施工,沉降预测,LSTM
Key words:shield tunnel,river crossing construction,settlement prediction,LSTM
文档包含图片数量：图片(8)张
文档包含表格数量：表格(2)个
参考文献：
[1]梁 孝, 漆泰岳, 陈鹏涛, 等. 下穿河流盾构隧道的风险评价体系研究[J]. 铁道建筑,2020,60(8):64-68. doi: 10.3969/j.issn.1003-1995.2020.08.14
[2]杨文武. 盾构法水下隧道工程技术的发展[J]. 隧道建设,2009,29(2):145-151.
[3]黎永索, 阳军生, 邓宗伟, 等. 盾构隧道下穿地下建筑物时的地表沉降分析[J]. 防灾减灾工程学报,2013(6):705-711.
[4]贾瑞华, 阳军生, 马 涛, 等. 既有管线下盾构施工地层沉降监测和位移加载数值分析[J]. 岩土工程学报,2009,31(3):425-430. doi: 10.3321/j.issn:1000-4548.2009.03.019
[5]BASILE F. Effects of tunnelling on pile foundations[J]. Soils and Foundations,2014,54(3):280-295. doi: 10.1016/j.sandf.2014.04.004
[6]张亚洲, 夏鹏举, 朱 伟, 等. 南京纬三路过江通道盾构穿越长江堤岸地层变形及稳定性分析[J]. 现代隧道技术,2015,52(4):151-155.
[7]吴世明, 林存刚, 张忠苗, 等. 泥水盾构下穿堤防的风险分析及控制研究[J]. 岩石力学与工程学报,2011,30(5):1034-1042.
[8]YOO C. Interaction between tunneling and bridge foundation–A 3D numerical investigation[J]. Computers and Geotechnics,2013,49:70-78. doi: 10.1016/j.compgeo.2012.11.005
[9]谢雄耀, 杨昌植, 王 强, 等. 南京和燕路过江通道盾构穿越长江大堤的沉降分析及控制研究[J]. 岩石力学与工程学报,2021,40(S2):3313-3322.
[10]韩 磊, 叶冠林, 王建华, 等. 浅覆土大直径盾构穿越对河堤影响的有限元分析[J]. 岩土工程学报,2015,37(S1):125-128.
[11]李 军, 黄 帅, 黄林冲, 等. 跨江泥水盾构掘进过程中的沿江路段地表变形特征[J]. 铁道科学与工程学报,2019,16(5):1252-1259.
[12]WANG Z, ZHANG K, WEI G, et al. Field measurement analysis of the influence of double shield tunnel construction on reinforced bridge[J]. Tunnelling and Underground Space Technology,2018,81:252-264. doi: 10.1016/j.tust.2018.06.018
[13]杨子松, 彭芳乐. 盾构下穿河岸开挖面支护压力调整策略[J]. 地下空间与工程学报,2013,9(5):1087-1091.
[14]李明华, 张 娟. 盾构下穿桥梁及河流关键技术方案[J]. 铁道建筑,2015(7):54-57. doi: 10.3969/j.issn.1003-1995.2015.07.16
[15]CHEN R, ZHANG P, WU H, et al. Prediction of shield unneling-induced ground settlement using machine earning techniques[J]. Frontiers of Structural and Civil Engineering,2019,13(6):1363-1378. doi: 10.1007/s11709-019-0561-3
[16]SUWANSAWAT S, EINSTEIN H H. Artificial neural networks for predicting the maximum surface settlement caused by EPB shield tunneling[J]. Tunnelling and underground space technology,2006,21(2):133-150. doi: 10.1016/j.tust.2005.06.007
[17]颜 波, 杨国龙, 林 辉, 等. 盾构隧道施工参数优化与地表沉降控制研究[J]. 地下空间与工程学报,2011(S2):1683-1687.
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