Research on Axial Force Prediction of Bolt in TBM Headrace Tunnel Based on ACO-SVM

Wang Jian; Wang Liming; Zhou Zhenliang; Lu Wenjia; Mao Peiliang

doi:10.3969/j.issn.1007-2993.2023.05.004

Volume 37 Issue 5

Oct. 2023

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Wang Jian, Wang Liming, Zhou Zhenliang, Lu Wenjia, Mao Peiliang. Research on Axial Force Prediction of Bolt in TBM Headrace Tunnel Based on ACO-SVM[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2023, 37(5): 532-537. doi: 10.3969/j.issn.1007-2993.2023.05.004

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Wang Jian, Wang Liming, Zhou Zhenliang, Lu Wenjia, Mao Peiliang. Research on Axial Force Prediction of Bolt in TBM Headrace Tunnel Based on ACO-SVM[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2023, 37(5): 532-537. doi: 10.3969/j.issn.1007-2993.2023.05.004

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Research on Axial Force Prediction of Bolt in TBM Headrace Tunnel Based on ACO-SVM

doi: 10.3969/j.issn.1007-2993.2023.05.004

1.
Xinjiang Erqis River Investment Development (Group) Co., Ltd., Urumqi 830000, Xinjiang, China
2.
State Key Laboratory of Shield Machine and Boring Technology, Zhengzhou 450001, Henan, China
3.
China Railway Tunnel Bureau Group Co., Ltd., Guangzhou 511458, Guangdong, China
4.
Beijing Jiaotong University, Beijing 100000, China

Received Date: 2022-05-13
Accepted Date: 2022-12-09
Rev Recd Date: 2022-08-11

Available Online: 2023-10-16

Publish Date: 2023-10-16

Abstract

Abstract

Based on the monitoring data of anchor axial force in Ka-Shuang tunnel of Xinjiang YEGS water conveyance project, the change trend of anchor axial force were forecasted and analyzed through ant colony algorithm (ACO) and particle swarm optimization (PSO) to optimize the support vector machine (SVM) model. The research shows that ACO-SVM prediction model fully considers the tunnel buried depth compared with PSO-SVM and traditional SVM prediction model. After a number of nonlinear influencing factors such as temperature and action time, the predicted value is closer to the measured value, the relative error is basically within 15%, and the average absolute percentage error is only 5.92. The model has better robustness, stability and generalization ability, and is more suitable for the prediction and analysis of the variation trend of bolt axial force in TBM tunnel. It has certain engineering application and popularization value.
- TBM,
- field monitoring,
- axial force prediction of bolt,
- support vector machine,
- ant clony optimization,
- particle swarm algorithm

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[1]	王利明,张兵,李凤远,等. TBM隧洞倾斜黏结锚杆受力特性分析及支护参数优化[J]. 河南科学,2021,39(1):84-90.
[2]	黄明利,徐飞,伍志勇. 城市环境下TBM施工对围岩稳定性影响的监测分析及支护参数优化[J]. 岩石力学与工程学报,2012,31(7):1325-1333.
[3]	SU Z M,CHEN J X,LUO Y B. Mechanical characteristic and length optimization of system anchor in loess tunnel based on field measurement and analytical solution[J]. Mathematical Problems in Engineering,2021:1-11.
[4]	谢清忠,刘东东,傅鹤林,等. 公路隧道初期支护参数优化下安全储备分析[J]. 公路与汽运,2021,(3):143-147,155.
[5]	陶永虎,饶军应,熊鹏,等. 软岩隧道大变形预测模型及支护措施[J]. 矿业研究与开发,2021,41(5):59-66.
[6]	刘亚鑫,邢明录,刘鹏程,等. 螺纹钢锚杆锚固岩石拉拔试验过程精细化数值模拟研究[J]. 煤矿安全,2022,53(3):66-74.
[7]	OLALUSI O B,SPYRIDIS P. Machine learning-based models for the concrete breakout capacity prediction of single anchors in shear[J]. Advances in Engineering Software,2020,147:102832.
[8]	赵向波,王利明,王军,等. 基于现场试验的TBM隧道支护结构力学性能研究[J]. 河南科学,2022,40(1):54-58.
[9]	KARMEN F B,BONUT P. Displacement analysis of tunnel support in soft rock around a shallow highway tunnel at Golovec[J]. Engineering Geology,2004,75(1):89-106. doi: 10.1016/j.enggeo.2004.05.003
[10]	李　慧. 高地应力软岩隧道锚杆支护技术及参数优化研究[D]. 西安: 西安科技大学, 2020.
[11]	VAPNIK V N. The Nature of Statistical Learning Theory [M]. NewYork: Spring — Verlag, 1995.
[12]	欧阳玲. 基于遥感和 SVM 模型的松嫩平原南部耕地质量评价[D]. 长春: 中国科学院东北地理与农业生态研究所, 2017.
[13]	孙　炀. 软岩隧道挤压大变形的SVM预测及其支护对策研究[D]. 济南: 济南大学, 2018.
[14]	张颖芳,凌卫新. 基于动态调整的 GA - SVM 多分类二叉树的方法[J]. 科学技术与工程,2017,17(7):177-182.
[15]	DORIGO M. Optimization, Learning and Natural Algorithms[D]. Politecnico di Milano, Italy, 1992.

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Research on Axial Force Prediction of Bolt in TBM Headrace Tunnel Based on ACO-SVM

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