Evaluation method for safety of subway tunnels adjacent to deep foundation pits

doi:10.16265/j.cnki.issn1003-3033.2021.04.013

Abstract

Abstract: In order to assess safety status of subway tunnels adjacent to deep foundation pits during their excavation, an evaluation method based on rough sets and Mamdani fuzzy inference was proposed. Firstly, three first-level impact indicators, including conditions of subway tunnels, engineering geological conditions and support conditions of deep foundation pits, and eight secondary indexes, such as tunnel settlement, tunnel convergence, tunnel distance, rock and soil shear resistance index, groundwater level, supporting structure thickness and insertion ratio of enclosing structure were summarized, and their evaluation criteria were determined. Then, discretization, reduction, and equivalence class division based on rough set theory were conducted to obtain a relatively objective weight vector. Finally, the weight vector was put into Mamdani fuzzy inference, and an accurate evaluation score was obtained through mapping. The results show that accurate safety status score of subway tunnels adjacent to deep foundation pits under influence of multiple index factors can be obtained through safety evaluation method based on rough set theory and Mamdani fuzzy inference.

Key words: deep foundation pit, subway tunnel, safety evaluation, Mamdani fuzzy inference, rough set theory

CLC Number:

X913.4

ZHANG Qi, WANG Yuefeng, LI Jianchun, ZHANG Bin, XU Jiang. Evaluation method for safety of subway tunnels adjacent to deep foundation pits[J]. China Safety Science Journal, 2021, 31(4): 95-104.

References

[1] XU Guoqiang,LUO Jianlin,NI Guowei,et al. Study on the safety evaluation index system of high-rise building at site construction [C]. International Conference on Engineering and Business Management (EBM 2010), 2010:1 868-1 870.
[2] 郑航. 地铁深基坑施工安全控制动态指标体系研究[D]. 福州:福州大学,2013.
ZHENG Hang. The subway deep foundation pit construction safety control dynamic index system research [D]. Fuzhou:Fuzhou University, 2013.
[3] 陆洲导,李灿灿,李刚. 灰色聚类法在已有建筑物可靠性鉴定中的应用[J]. 同济大学学报:自然科学版,2006,34(7):874-879.
LU Zhoudao,LI Cancan,LI Gang. Application of grey clustering method to appraisal of reliability of existing buildings [J]. Journal of Tongji University:Natural Science,2006,34(7):874-879.
[4] 王景春,赵福全,王炳华,等. 多因素影响下的地铁车站深基坑韧性评估[J]. 中国安全科学学报,2019,29(10):154-159.
WANG Jingchun, ZHAO Fuquan, WANG Binghua, et al. Resilience evaluation for deep foundation pit of metro station under influence of multiple factors [J]. China Safety Science Journal,2019,29 (10):154-159.
[5] 宋博. DEA-BP神经网络下地铁车站深基坑施工安全评价[J]. 中国安全科学学报,2019,29(5):91-96.
SONG Bo. Safety evaluation for deep foundation pit construction in metro station based on DEA-BP neural network [J]. China Safety Science Journal,2019,29(5):91-96.
[6] 寇润胜. 深基坑周边建筑物沉降预测及安全性评估[D]. 重庆:重庆大学,2014.
KOU Runsheng. Settlement's prediction and safety assessment of building around deep foundation pit [D]. Chongqing:Chongqing University, 2014.
[7] 苏永华,刘科伟,张进华. 基于粗糙集重心理论的公路隧道塌方风险分析[J]. 湖南大学学报:自然科学版,2013,40(1):21-26.
SU Yonghua,LIU Kewei,ZHANG Jinhua. Fuzzy evaluation of collapse incidents in highway tunnel construction based on rough set and barycenter theory [J]. Journal of Hunan University :Natural Science,2013,40(1):21-26.
[8] 王军武,胡蝶,吴寒,等. 小直径深层排水隧道盾构施工安全风险评价[J]. 中国安全科学学报, 2020, 30(6): 113-120.
WANG Junwu, HU Die, WU Han, et al. Risk assessment in construction of small-diameter deep drainage tunnel[J]. China Safety Science Journal, 2020, 30(6): 113-120.
[9] 王广月,崔海丽,李倩. 基于粗糙集理论的边坡稳定性评价中因素权重确定方法的研究[J]. 岩土力学,2009,30(8):2 418-2 422.
WANG Guangyue,CUI Haili,LI Qian. Investigation of method for determining factors weights in evaluating slope stability based on rough set theory [J]. Rock and Soil Mechanics,2009,30(8):2 418-2 422.
[10] 张琦,朱合华,黄贤斌,等. 基于Mamdani模糊推理的山岭隧道围岩RMR14分级[J]. 岩土工程学报,2017,39(11):2 116-2 124.
ZHANG Qi,ZHU Hehua,HUANG Xianbin,et al. A new rock mass rating method based on Mamdani fuzzy inference for rock tunnels [J]. Chinese Journal of Geotechnical Engineering,2017,39(11):2 116-2 124.
[11] 上海市市政工程管理局.上海市地铁沿线建筑施工保护地铁技术管理暂行规定[L].1994-11-08.
[12] GB50497—2019,建筑基坑工程监测技术规范[S].
GB50497-2019,Technical standard for monitoring of building excavation engineering [S].
[13] JGJ311—2013,建筑深基坑工程施工安全技术规范[S].
JGJ311-2013,Technical code for construction safety of deep building foundation excavations [S].
[14] JGJ 120—2012,建筑基坑支护技术规程[S].
JGJ 120-2012,Technical specification for retaining and protection of building foundation excavations[S].
[15] DG/TJ08-109—2017,城市轨道交通设计规范[S].
DG/TJ08-109-2017,Urban rail transit design standard [S].
[16] GB 50068—2008,工程结构可靠性设计统一标准[S].
GB 50068-2008,Unified standard for reliability design of engineering structures[S].
[17] 王宗军,李红侠,邓晓岚. 粗糙集理论研究的最新进展及发展趋势[J]. 武汉理工大学学报:信息与管理工程版,2006,28(1):43-48,52.
WANG Zongjun, LI Hongxia, DENG Xiaolan. Latest progress and developing trend of rough set theory [J]. Journal of Wuhan University of Technology: Information & Management Engineering,2006,28(1):43-48,52.
[18] PAWLAK Z. Rough sets [J]. International Journal of Computer & Information Sciences,1982,11(5):341-356.
[19] KRYSKIEWICZ M. Rough set approach to incomplete information systems [J]. Information Sciences,1998,112(1/2/3/4):39-49.
[20] SHEN Qiang, JENSEN R. Rough sets, their extensions and applications [J]. International Journal of Automation and Computing,2007,4(3):217-228.
[21] 骆吉庆,姚安林,周雪,等. Mamdani型模糊推理在海底油气管道风险评价中的应用[J]. 中国安全科学学报,2016,26(8):74-79.
LUO Jiqing,YAO Anlin,ZHOU Xue,et al. Application of Mamdani fuzzy inference to risk assessment of submarine oil & gas pipeline [J]. China Safety Science Journal,2016,26(8):74-79.