基于深基坑施工的概率有限元基准模型参数修正

doi:10.13229/j.cnki.jdxbgxb.20230082

吉林大学学报(工学版) ›› 2024, Vol. 54 ›› Issue (12): 3534-3544.doi: 10.13229/j.cnki.jdxbgxb.20230082

• 交通运输工程·土木工程 • 上一篇下一篇

基于深基坑施工的概率有限元基准模型参数修正

宫亚峰¹(),刘佰鑫¹,杨建星¹,何锋¹(),孙亮²,田立华¹

^1.吉林大学交通学院，长春 130022
^2.中铁隧道局集团路桥工程有限公司，天津 300308

收稿日期:2023-01-30 出版日期:2024-12-01 发布日期:2025-01-24
通讯作者: 何锋 E-mail:gongyf@jlu.edu.cn;hefeng@jlu.edu.cn
作者简介:宫亚峰（1977-），男，教授，博士.研究方向：桥梁结构健康监测理论及应用.E-mail：gongyf@jlu.edu.cn
基金资助:
国家重点研发计划项目(2021YFB2600604);吉林省交通运输科技厅项目(2021-1-1);黑龙江交通运输厅重点项目(2022-1);吉林省科技发展计划项目(20230402048GH);吉林省交通运输科技厅项目(2024-1-10);吉林省住房和城乡建设厅“2023年度省级建设科学技术计划项目”(2023-1-1)

Parameter correction of probabilistic finite element benchmark model based on deep foundation pit construction

Ya-feng GONG¹(),Bai-xin LIU¹,Jian-xing YANG¹,Feng HE¹(),Liang SUN²,Li-hua TIAN¹

^1.Transportation College of Jilin University，Changchun 130022，China
^2.China Railway Tunnel Group Road & Bridge Engineering Co. ，Ltd. ，Tianjin 300308，China

Received:2023-01-30 Online:2024-12-01 Published:2025-01-24
Contact: Feng HE E-mail:gongyf@jlu.edu.cn;hefeng@jlu.edu.cn

摘要/Abstract

摘要：

针对深基坑在不同施工阶段支护结构的材料参数、连接刚度及边界条件等均随着施工进度的变化而发生改变，导致采用传统确定性的有限元建模参数方法效率低、速度慢、难收敛的问题，提出了利用概率有限元进行参数修正的基准模型概念，即建立了表征地铁深基坑在不同施工阶段物理参数变化规律的有限元模型。首先，针对深基坑不同施工阶段存在“深度效应”最大水平位移的区域，采用高斯混合模型将围护墙最大水平位移分为不同的簇，并提取均值和方差。然后，建立ANSYS有限元深基坑模型，对深基坑的内支撑和围护墙参数进行有限元修正。最后，在随机有限元修正过程中，利用Kriging预测模型代替解析有限元得到聚类分析的深基坑有限元模型的概率基线。结果表明：基准模型进行参数修正后计算速率和精度得到明显提高，可以为后续数值模拟提供理论基础。

关键词: 岩土工程, 深基坑, 有限元, 围护墙, 水平位移, 参数修正

Abstract:

In order to account for the variations in construction progress， the material parameters， connection stiffness， and boundary conditions of the deep foundation pit are modified. This results in the utilization of traditional deterministic finite element modeling parameter method being inefficient， slow， and difficult to converge. The following problem is proposed to address this issue： The probabilistic finite element parameter correction of the baseline model concept involves the establishment of a characterization of the subway deep foundation pit in the different stages of the construction of physical parameters. In essence， a finite element model is established to characterize the changing law of physical parameters in different construction stages of subway deep foundation pit. Initially， the Gaussian mixture model is employed to partition the maximum horizontal displacement of the enclosure wall into multiple clusters， thereby extracting the mean value and variance. Subsequently， the ANSYS finite element deep foundation pit model is configured， and finite element corrections are implemented on the parameters of internal support and enclosure wall of the deep foundation pit. Finally， the probabilistic baseline of the deep foundation pit finite element model for cluster analysis is obtained by using the Kriging prediction model instead of the analytical finite element. The results show that the computational rate and accuracy of the baseline model are significantly improved after the parameter correction， which can provide a theoretical basis for the subsequent numerical simulation.

Key words: geotechnical engineering, deep foundation pit, finite element, retaining wall, horizontal displacement, parameter correction

中图分类号:

TV551.4

宫亚峰,刘佰鑫,杨建星,何锋,孙亮,田立华. 基于深基坑施工的概率有限元基准模型参数修正[J]. 吉林大学学报(工学版), 2024, 54(12): 3534-3544.

Ya-feng GONG,Bai-xin LIU,Jian-xing YANG,Feng HE,Liang SUN,Li-hua TIAN. Parameter correction of probabilistic finite element benchmark model based on deep foundation pit construction[J]. Journal of Jilin University(Engineering and Technology Edition), 2024, 54(12): 3534-3544.

图/表 10

图1

图2

图3

图4

表1

图5

图6

图7

图8

图9

参考文献 20

1	杨朋超,薛松涛,谢丽宇. 结构动力模型的改进直接修正方法及工程应用[J]. 建筑结构学报, 2021, 42(3): 34-40.
	Yang Peng-chao, Xue Song-tao, Xie Li-yu. An improved direct method for dynamic model updating and its practical engineering applications[J]. Journal of Building Structures, 2021, 42(3): 34-40.
2	张皓,李东升,李宏男. 有限元模型修正研究进展:从线性到非线性[J]. 力学进展, 2019, 49(1): 542-575.
	Zhang Hao, Li Dong-sheng, Li Hong-nan. Recent progress on finite element model updating: from linearity to nonlinearity[J]. Advances in Mechanics, 2019, 49(1): 542-575.
3	徐志强,王彬,王海龙,等. 基于监测数据的桁架拱桥有限元模型修正[J]. 河北建筑工程学院学报, 2019, 37(4): 67-73.
	Xu Zhi-qiang, Wang Bin, Wang Hai-long. Modification of finite element model of truss arch bridge based on monitoring data[J]. Journal of Hebei Institute of Architecture and Civil Engineering, 2019, 37(4): 67-73.
4	文竞舟,张永兴,王成,等. 钢拱架应力反分析隧道初期支护力学性能的研究[J]. 土木工程学报, 2012, 45(2): 170-175.
	Wen Jing-zhou, Zhang Yong-xing, Wang Cheng, et al. Back analysis for the mechanical properties of initial tunnel support based on steel arch stresses[J]. China Civil Engineering Journal, 2012, 45(2): 170-175.
5	杨林德,王聿,陆峰. 初始地应力及E值的反演计算的边界单元法[C]∥中国土木工程学会隧道与地下工程学会隧道力学学组会议论文集,中国兰州, 1985:1- 15.
6	张前进,李德巧,宫亚峰,等. 基于响应面法的基坑有限元模型修正[J]. 现代隧道技术, 2022, 59(S2): 69-76.
	Zhang Qian-jin, Li De-qiao, Gong Ya-feng, et al. Modification of finite element model of foundation pit based on response surface method[J]. Modern Tunnelling Technology, 2022, 59(S2): 69-76.
7	曲强,李昊波. 软土深基坑土体本构模型适用性及参数敏感性分析[J]. 铁道勘察, 2022, 48(3): 94-99, 106.
	Qu Qiang, Li Hao-bo. Analysis of the applicability of constitutive model and parameter sensitivity for deep foundation pit with soft soil[J]. Railway Investigation and Surveying, 2022, 48(3): 94-99, 106.
8	马印平,刘永健,刘江. 基于响应面法的钢管混凝土组合桁梁桥多尺度有限元模型修正[J]. 中国公路学报, 2019, 32(11): 51-61.
	Ma Yin-ping, Liu Yong-jian, Liu Jiang. Multi-scale finite element model updating of CFST composite truss bridge based on response surface method[J]. China Journal Highway and Transport, 2019, 32(11): 51-61.
9	冀伟,邵天彦. 波形腹板钢箱-混凝土箱梁桥的有限元模型修正[J]. 西南交通大学学报, 2021, 56(1): 1-11.
	Ji Wei, Shao Tian-yan. Finite element model updating of box girder bridges with corrugated steel webs[J]. Journal of Southwest Jiaotong University, 2021, 56(1): 1-11.
10	廖汉超,单汨源. 基于模糊聚类最大树算法的高层建筑基坑工程风险识别方法[J]. 吉林大学学报: 工学版, 2022, 52(12): 2892-2897.
	Liao Han-chao, Shan Mi-yuan. Risk identification method of foundation pit engineering of high⁃rise buildings based on fuzzy clustering maximum tree algorithm[J]. Journal of Jilin University (Engineering and Technology Edition), 2022, 52(12): 2892-2897.
11	许世展,李杨,冯冠杰,等. 基于响应面法的桥梁节段参数模型修正[J]. 铁道科学与工程学报, 2022, 19(6): 1658-1665.
	Xu Shi-zhan, Li Yang, Feng Guan-jie, et al. Model updating of bridge segment parameter based on response surface method[J]. Journal of Railway Science and Engineering, 2022, 19(6): 1658-1665.
12	张绍逸. 时变环境下桥梁集群结构损伤诊断方法[D]. 哈尔滨: 哈尔滨工业大学交通科学与工程学院, 2019.
	Zhang Shao-yi. Damage diagnosis of bridges monitored within one cluster under time-varying environment[D]. Harbin: School of Transposition Science and Engineering, Harbin Institute of Technology, 2019.
13	申文永,张克利,姚爱敏. 某地铁车站深基坑监测数据分析[C]∥第十一届深基础工程发展论坛论文集,中国太原, 2022: 37-42.
14	古海东,罗春红. 疏排桩-土钉墙组合支护基坑土拱效应模型试验[J]. 吉林大学学报: 工学版, 2018, 48(6): 1712-1724.
	Gu Hai-dong, Luo Chun-hong. Experiment of soil arching effect of pit supporting structure with scattered row piles and soil nail wall[J]. Journal of Jilin University (Engineering and Technology Edition), 2018, 48(6): 1712-1724.
15	黄明辉,李梦云,代煜. 基于Savitzky-Golay算法的某深基坑监测数据降噪处理[J]. 汕头大学学报: 自然科学版, 2022, 37(2): 50-60.
	Huang Ming-hui, Li Meng-yun, Dai Yu. Based on the Savitzky-Golay noise reduction algorithm of a deep foundation pit monitoring data processing[J]. Journal of Shantou University (Natural Science), 2022, 37(2): 50-60.
16	钟龙凯. 深基坑监测技术与数据分析[D]. 南昌: 南昌大学建筑工程学院, 2021.
	Zhong Long-kai. Monitoring technology and data analysis of deep foundation pit[D]. Nanchang: School of infrastructure Engineering, Nanchang University, 2012.
17	Feng T, Wang C, Zhang J, et al. An improved artificial bee colony-random forest (IABC-RF) model for predicting the tunnel deformation due to an adjacent foundation pit excavation[J]. Underground Space,2022, 7(4): 514-527.
18	张浩,张陈蓉,时振昊,等. 基于IGS小应变模型的基坑开挖对隧道影响数值模拟[J]. 岩土工程学报, 2021, 43(S2): 72-75.
	Zhang Hao, Zhang Chen-rong, Shi Zhen-hao, et al. Numerical simulation of excavation effects on tunneling with IGS small strain model[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(S2): 72-75.
19	马险峰,刘畅,徐良义. 修正双屈服面模型在软土基坑开挖中的应用[J]. 岩石力学与工程学报, 2019, 38(): 3883-3893.
	Ma Xian-feng, Liu Chang, Xu Liang-yi. Application of modified double-yield surface model in foundation excavation of soft soil[J]. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(Sup.2): 3883-3893.
20	何维,孙宏磊,陶袁钦,等. 开挖引起的隧道位移动态多目标优化反演预测[J]. 上海交通大学学报, 2022, 56(12): 1688-1699.
	He Wei, Sun Hong-lei, Tao Yuan-qin, et al. Dynamic multi-objective optimization inverse prediction of excavation-induced tunnel displacement[J]. Journal of Shanghai Jiao Tong University, 2022, 56(12): 1688-1699.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

参数	待修正参数对象	修正前参数值	修正后参数值
θ₁	围护墙弹性模量	3.0×10¹⁰Pa	1.93×10¹⁰Pa
θ₂	混凝土支撑弹性模量	3.2×10¹⁰Pa	2.10×10¹⁰Pa
θ₃	钢支撑弹性模量	2.1×10¹¹Pa	1.74×10¹¹Pa

[1]	刘化民,杨舒涵,李义,梁策,韩奇钢. 推力杆球铰仿生表面改进及有限元分析[J]. 吉林大学学报(工学版), 2024, 54(9): 2733-2740.
[2]	梁策,李敏,李义,梁继才,韩奇钢. 轿车前轴摇臂衬套仿生柔性接触表面摩擦特性数值模拟[J]. 吉林大学学报(工学版), 2024, 54(8): 2181-2186.
[3]	郑建校,王文博,刘金颂,周立明,李宇. 基于渐近均匀化的力-电-湿耦合光滑有限元法[J]. 吉林大学学报(工学版), 2024, 54(7): 1876-1886.
[4]	何华飞,李兆平,符瑞安,马绍麟,黄明利. 考虑地层约束效应的预制侧墙节点抗震性能试验[J]. 吉林大学学报(工学版), 2024, 54(6): 1601-1611.
[5]	李丽华,李孜健,肖衡林,曹文哲,周鑫隆,黄少平. 土工格栅加筋建筑垃圾土循环剪切试验[J]. 吉林大学学报(工学版), 2024, 54(6): 1612-1623.
[6]	邸振勇,张勇. 多高层建筑梁柱刚性连接耐震型节点承载力计算方法[J]. 吉林大学学报(工学版), 2024, 54(4): 1058-1064.
[7]	刘一凡,缪志伟,申晨,耿祥东. 基于蒙特卡罗法的不均匀锈蚀钢筋力学性能评估[J]. 吉林大学学报(工学版), 2024, 54(4): 1007-1015.
[8]	冯斌,张涛,梁涛,张莹,唐兴隆,王关平. 电驱式青贮饲料打捆裹膜机设计与试验[J]. 吉林大学学报(工学版), 2024, 54(2): 564-573.
[9]	杨志军,张驰,黄观新. 基于浮动坐标法的刚柔耦合定位平台力学模型[J]. 吉林大学学报(工学版), 2024, 54(2): 385-393.
[10]	孙伟,杨俊. 等角贴敷压电分流片圆柱壳有限元建模及减振分析[J]. 吉林大学学报(工学版), 2024, 54(2): 365-374.
[11]	韩笑,凌贤长,田爽,丛晟亦. 高铁有砟轨道路基注浆过程冒浆分析和控制[J]. 吉林大学学报(工学版), 2024, 54(2): 506-515.
[12]	李丽华,康浩然,张鑫,肖衡林,刘一鸣,周鑫隆. 加筋土石混合体动力特性[J]. 吉林大学学报(工学版), 2024, 54(10): 2897-2907.
[13]	许颖,樊悦,王青原,张振宇. 聚丙烯纤维混凝土断裂韧度试验与数值分析[J]. 吉林大学学报(工学版), 2024, 54(10): 2884-2896.
[14]	刘方成,王将,吴孟桃,补国斌,何杰. 土工格栅加筋橡胶砂应力-应变特性试验[J]. 吉林大学学报(工学版), 2023, 53(9): 2542-2553.
[15]	张树培,夏明悦,张玮,陈钊,陈义祥. 考虑非线性刚度的间隙球铰碰撞动力学建模与仿真[J]. 吉林大学学报(工学版), 2023, 53(8): 2227-2235.

基于深基坑施工的概率有限元基准模型参数修正

Parameter correction of probabilistic finite element benchmark model based on deep foundation pit construction

RICH HTML

PDF (PC)

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 20

相关文章 15

Metrics

本文评价

推荐阅读 10