针对矩形顶管施工引发地表变形预测,在数值模拟中学者们往往忽略了岩土体的空间变异性,导致计算结果不准确。本文在传统随机场理论的基础上,引入数据驱动随机场理论,结合ABAQUS数值软件,建立三维数值模型考虑土体参数空间变异性的模拟方法,并将该方法运用于苏州市某矩形顶管工程,实现了直接从稀疏勘察数据生成岩土参数随机场,系统研究了弹性模量空间变异性对矩形顶管隧道地表沉降的影响规律。结果表明:在融入了弹性模量空间变异性后,不会改变矩形顶管施工地表沉降趋势和规律,其结果更具有参考价值;基于数据驱动随机场的随机有限元计算结果更加符合实际地表沉降规律,并评估了提出计算模型的准确性。研究成果可为矩形顶管施工引起地表沉降预测提供参考。
Prediction for ground settlement induced by box tunneling construction, the spatial variation of rock and soil mass in numerical simulation is ignored, resulting in inaccurate calculation results. Based on the traditional random field theory, this study introduces the data-driven random field theory and combines with ABAQUS numerical software, to establish a three-dimensional numerical model to consider the simulation method of spatial variability of soil parameters. Then, this method is applied to a box tunneling project in Suzhou City to generate geotechnical parameter random fields directly from sparse survey data samples. The results show that when the spatial variability of elastic modulus is incorporated, the ground settlement trend and law of box tunneling construction will not be changed, and the results are more valuable for reference. The results of stochastic finite element calculation based on data-driven random field are more consistent with the actual ground subsidence law, and the accuracy of the proposed calculation model is evaluated. The research results provide a more scientific numerical calculation method for the prediction of ground settlement caused by box tunneling construction.
[1] Sun Y, Wu F, Sun W J, et al. Two underground pedestrian passages using pipe jacking: Case study[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2018, 145(2): 05018004.
[2] Jia P J, Zhao W,Khoshghalb A, et al. A new model to predict ground surface settlement induced by jacked pipes with flanges[J]. Tunnelling and Underground Space Technology, 2020, 98: 103330.
[3] 许有俊, 王雅建, 冯超, 等. 矩形顶管施工引起的地面沉降变形研究[J]. 地下空间与工程学报, 2018, 14(1): 192-199.
[4] Jin D L, Yuan D J, Li X G, et al. Analysis of the settlement of an existing tunnel induced by shield tunneling underneath[J]. Tunnelling and Underground Space Technology, 2018, 81: 209-220.
[5] 张治成,林思,王金昌,等.矩形管廊顶管施工对邻近管线的影响研究[J].岩土工程学报, 2020, 42(增2): 244-249.
[6] 吴垠龙, 刘维, 贾鹏蛟, 等. 矩形顶管近距离上穿既有隧道施工扰动分析[J]. 地下空间与工程学报, 2022, 18(6): 1968-1978.
[7] Huang H W, Xiao L, Zhang D M, et al. Influence of spatial variability of soil young's modulus on tunnel convergence in soft soils[J]. Engineering Geology, 2017, 228: 357-370.
[8] Zhang J Z, Huang H W, Zhang D M, et al. Quantitative evaluation of geological uncertainty and its influence on tunnel structural performance using improved coupled markov chain[J]. Acta Geotechnica, 2021, 16(11): 3709-3724.
[9] Mollon G, Dias D, Soubra A H. Probabilistic analyses of tunneling-induced ground movements [J]. Acta Geotechnica, 2013, 8(2): 181-199.
[10] Miro S, Koenig M, Hartmann D, et al. A probabilistic analysis of subsoil parameters uncertainty impacts on tunnel-induced ground movements with a back-analysisstudy[J]. Computers and Geotechnics, 2015, 68: 38-53.
[11] Li J H, Tian Y H, Cassidy M J. Failure mechanism and bearing capacity of footings buried at various depths in spatially random soil[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2014, 141(2): 04014099.
[12] 蒋水华, 李典庆, 曹子君,等. 考虑参数空间变异性的边坡系统可靠度分析[J]. 应用基础与工程科学学报, 2014, 22(5): 841-855.
[13] 陈福勇, 仉文岗. 基于条件随机场的重庆李家坪地铁隧道可靠度分析[J]. 应用基础与工程科学学报, 2022, 30(1): 166-182.
[14] 王长虹, 朱合华, 徐子川,等. 考虑岩土参数空间变异性的盾构隧道地表沉降分析[J]. 岩土工程学报, 2018, 40(2): 270-277.
[15] 王锦华. 盾构隧道下穿对机场跑道影响的随机有限元数值模拟分析[J]. 施工技术(中英文), 2022, 51(21):23-29.
[16] 程红战, 陈健, 胡之锋,等. 考虑参数空间变异性的隧道下穿建筑物安全性评价[J]. 岩土工程学报, 2017, 39(增2): 75-78.
[17] Wang Y, Zhao T Y, Phoon K K. Direct simulation of random field samples from sparsely measured geotechnical data with consideration of uncertainty in interpretation[J]. Canadian Geotechnical Journal, 2018, 55(6): 862-880.
[18] Phoon K K, Huang S P, Qyek S T. Simulation of second-order processes using Karhunen-Loeve expansion[J]. Computers & Structures, 2002, 80(12): 1049-1060.
[19] Wang Y, Zhao T Y. Statistical interpretation of soil property profiles from sparse data using Bayesian compressive sampling[J]. Geotechnique, 2017, 67(6): 523-536.
[20] Zhao T Y, Hu Y, Wang Y. Statistical interpretation of spatially varying 2D geo-data from sparse measurements using Bayesian compressive sampling[J]. Engineering Geology, 2018, 246: 162-175.
[21] Tipping M. Sparsebayesian learning and the relevance vector machine[J]. Crossref Listing of Deleted Dois, 2001, 1(3): 211-244.
[22] Huang X, Huang H W, Zhang D M, et al. Centrifuge modelling of deep excavation over existing tunnels[J]. Proceedings of the Institution of Civil Engineers-Geotechnical Engineering, 2014, 167(1): 3-18.
[23] Yin M, Jiang H, Jiang Y, et al. Effect of the excavation clearance of an under-crossing shieldtunnel on existing shield tunnels[J]. Tunneling and Underground Space Technology, 2018, 78: 245-258.
[24] 张文瀚, 谢雄耀, 李攀. 浅层顶管隧道施工对路基变形影响数值分析[J]. 地下空间与工程学报, 2011, 7(增2): 1619-1624, 1652.
[25] Ma W J, Wang B L, Wang X, et al. Soil layer disturbance caused by pipe jacking: Measurement and simulation of a case study[J]. KSCE Journal of Civil Engineering, 2021, 25(4): 1467-1478.
[26] 靳雪梅, 黄宏伟, 张东明. 关于土的空间变异性对盾构隧道施工影响的探讨[J]. 现代隧道技术, 2022, 59(2): 62-70.
[27] 陈扬,袁宗义,梁禹. 考虑土体空间变异性的管廊基坑开挖过程中变形及能量演化特征分析[J]. 科学技术与工程, 2022, 22(17): 7127-7134.