中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (4): 95-104.doi: 10.16265/j.cnki.issn1003-3033.2021.04.013

• 安全工程技术 • 上一篇    下一篇

深基坑紧邻地铁隧道安全评价方法*

张琦1 副教授, 王月峰1, 李建春1 教授, 张斌1, 徐江2 讲师   

  1. 1 东南大学 土木工程学院,南京 江苏 210096;
    2 扬州大学 建筑科学与工程学院,扬州 江苏 225127
  • 收稿日期:2021-01-19 修回日期:2021-03-11 出版日期:2021-04-28 发布日期:2021-12-20
  • 作者简介:张 琦 (1984—),男,江苏泰兴人,博士,副教授,主要从事隧道与地下工程方面的研究。E-mail: zhangqi@seu.edu.cn。
  • 基金资助:
    国家重点研发计划项目(2017YFC0805500)。

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

ZHANG Qi1, WANG Yuefeng1, LI Jianchun1, ZHANG Bin1, XU Jiang2   

  1. 1 School of Civil Engineering, Southeast University, Nanjing Jiangsu 210096, China;
    2 School of Architecture and Engineering, Yangzhou University, Yangzhou Jiangsu 225127, China
  • Received:2021-01-19 Revised:2021-03-11 Online:2021-04-28 Published:2021-12-20

摘要: 为评价深基坑开挖过程中紧邻地铁隧道的安全状态,提出一种基于粗糙集与Mamdani模糊推理的隧道安全评价方法。首先,综合考虑紧邻地铁隧道状况、工程地质条件与深基坑支护条件等一级指标,以及隧道沉降、隧道收敛、隧道紧邻距离、岩土体抗剪指标、地下水位、支护结构厚度和围护结构插挖比等二级指标,归纳出指标的各级评价标准;其次,运用粗糙集理论进行离散化、约简、等价类划分处理,得到相对客观的权重向量;最后,将权重向量代入Mamdani模糊推理,通过映射得出精确的评价得分。研究结果表明:在多指标因素影响下,基于粗糙集理论与Mamdani模糊推理的安全评价方法能够得出深基坑紧邻地铁隧道的安全状态精确得分。

关键词: 深基坑, 地铁隧道, 安全评价, Mamdani模糊推理, 粗糙集理论

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

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