基于云贝叶斯网络盾构下穿铁路近接施工安全风险动态评价

周立

doi:10.13204/j.gyjzG22010711

基于云贝叶斯网络盾构下穿铁路近接施工安全风险动态评价

doi: 10.13204/j.gyjzG22010711

周立

武汉地铁集团有限公司, 武汉 430040

基金项目:

国家重点研发计划(2016YFC0800208)；国家自然科学基金项目(51378235,71571078,51308240)。

详细信息

作者简介:
周立,男,1985年出生,硕士,高级工程师。电子信箱:zhoul3515@wuhanrt.com

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- 文章访问数: 73
- HTML全文浏览量: 19
- PDF下载量: 1
- 被引次数: 0
出版历程
- 收稿日期: 2022-01-07

Dynamic Evaluation of Construction Safety Risk for Approaching Excavation of Shield Tunnel Undercrossing High-Speed Railway Based on Cloud Bayesian Network

ZHOU Li

Wuhan Metro Group Co., Ltd., Wuhan 430040, China

摘要

摘要: 提出云模型和贝叶斯网络相结合的安全风险动态评价方法,用于盾构下穿铁路近接施工复杂系统的安全研究。基于文献和大量工程经验建立盾构下穿铁路施工风险评价指标体系和评价标准。通过云模型实现连续节点状态的离散化,获取先验概率。构建云贝叶斯网络推理模型预测盾构下穿铁路施工安全风险的聚合概率分布,并生成综合云获取定量风险值,有效实现风险定性概念与定量数值大小的转化。结合敏感性分析和风险诊断,实现事前、事中、事后阶段的实时安全动态管控。以某下穿铁路工程为例,利用该方法有效评估了系统风险水平,并结合反向诊断确定重点管控因素,验证了该方法为实现盾构近接施工安全管理预警决策提供有力支持。
- 云模型 /
- 贝叶斯网络 /
- 盾构下穿铁路施工 /
- 安全风险 /
- 评价标准 /
- 动态评价 /
- 风险诊断
Abstract: A dynamic safety risk evaluation method combining cloud model and Bayesian network was proposed to study the safety of complex approaching excavation of shield tunnel undercrossing railway. Based on literature and a lot of engineering experience, the risk evaluation index system and evaluation standard of shield undercrossing railway construction were established. The state of continuous nodes was discretized through cloud model and the prior probability was obtained. The cloud bayesian network reasoning model was established to predict the aggregation probability distribution of the construction safety risk of shield tunneling railway, and the comprehensive cloud was generated to obtain quantitative risk values, which effectively realized the transformation of qualitative concept of risk and quantitative values. Combined with sensitivity analysis and risk diagnosis, real-time security dynamic control was realized in the stage before, during and after the event. Taking an undercrossing railway project as an example, the method was used to effectively evaluate the system risk level, and the key control factors were determined by reverse diagnosis. It was verified that the method could provide a strong support for the safety management and early warning decision of shield close construction.
- cloud model /
- bayesian networks /
- shield tunneling under high-speed railway construction /
- safety risk /
- evaluation criteria /
- dynamic evaluation /
- risk diagnosis

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参考文献(19)

[1]	SHI C H, CAO C Y, LEI M F. An analysis of the ground deformation caused by shield tunnel construction combining an elastic half-space model and stochastic medium theory[J]. KSCE Journal of Civil Engineering, 2017, 21(5):1933-1944.
[2]	WANG L X. Settlement impact analysis and countermeasure research of the down traversing formed by the double-arch subway tunnels through the existing railways in loess area[C]//International Conference on Engineering Technology and Application (ICETA). Xiamen:2015.
[3]	陈海丰,袁大军,王飞,等.软弱地层地铁盾构下穿高铁的安全控制技术研究[J].土木工程学报, 2015, 48(增刊1):256-260.
[4]	马相峰,龚伦,吴金霖,等.地铁盾构下穿多股道铁路路基变形控制优化研究[J].铁道标准设计, 2019, 63(11):85-90.
[5]	祝嘉辉,李俊才,朱正国.黄泛区盾构下穿高铁沉降分析及施工参数控制[J].南京工业大学学报(自然科学版),2021,43(1):125-134.
[6]	薛春瑞.地铁盾构隧道穿越高速铁路的工程风险评价及防控措施研究[D].西安:长安大学, 2017.
[7]	林大涌,雷明锋,曹豪荣,等.盾构下穿运营铁路施工风险模糊综合评价方法研究[J].铁道科学与工程学报, 2018, 15(5):1347-1355.
[8]	WANG F, LI H, CHAO D, et al. Knowledge representation using non-parametric Bayesian networks for tunneling risk analysis[J/OL]. Reliability Engineering&System Safety, 2019[2022-01-07].https://doi.org/10.1016/j.ress.2019.106529.
[9]	LI D Y, CHEUNG D, SHI X M, et al. Uncertainty reasoning based on cloud models in controllers[J]. Computers&Mathematics with Applications, 1998, 35(3):99-123.
[10]	李国锋.空间数据挖掘技术研究[D].西安:西安电子科技大学, 2005.
[11]	LI D Y, DI K C, LI D R, et al. Mining association rules with linguistic cloud models[J]. Journal of software, 2000, 11(2):143-158.
[12]	柳炳祥,李海林,杨丽彬.云决策分析方法[J].控制与决策, 2009(6):957-960.
[13]	PAN W D, GAO Z Y, ZHENG C L, et al. Analysis on the influence of cross tunnel construction on the deformation of the existing high-speed railway tunnel[J]. Geotechnical and Geological Engineering, 2018, 36(6):4001-4013.
[14]	QIAN W P, QI T Y, ZHAO Y J, et al. Deformation characteristics and safety assessment of a high-speed railway induced by undercutting metro tunnel excavation[J]. Journal of Rock Mechanics and Geotechnical Engineering, 2019, 11(1):88-98.
[15]	LIN X T, CHEN R P, WU H N, et al. Deformation behaviors of existing tunnels caused by shield tunneling undercrossing with oblique angle[J]. Tunnelling and Underground Space Technology, 2019, 89:78-90.
[16]	NEJATIH R, MORTEZA A, HAMID H. Numerical analysis of ground surface vibration induced by underground train movement[J]. Tunnelling and Underground Space Technology, 2012, 29:1-9.
[17]	ZHANG J R, HUANG G, GOU X M. An optimum metamodel for safety control of operational subway tunnel during underpass shield tunneling[J/OL]. Structural Control and Health Monitoring, 2018, 25(8)[2022-01-07].https://doi.org/10.1002/stc.2195.
[18]	WU X G, ZHOU J, ZHANG L M, et al. Dynamic risk analysis for adjacent buildings in tunneling environments:a bayesian network based approach[J]. Stochastic Environmental Research and Risk Assessment, 2015, 29(5):1447-1461.
[19]	SONG W, ZHU J J. A multistage risk decision making method for normal cloud model considering behavior characteristics[J]. Applied Soft Computing, 2019, 78:393-406.